There 's also this , uh , um , uh , echo cancellation stuff that we 've sort of been chasing , so , uh we have , uh  and when we 're saying these digits now we do have a close microphone signal and then there 's the distant microphone signal. And you could as a kind of baseline say , " OK , given that we have both of these , uh , we should be able to do , uh , a cancellation. " So that , uh , um , we  we , uh , essentially identify the system in between  the linear time invariant system between the microphones and  and  and  and re and invert it , uh , or  or cancel it out to  to some  some reasonable approximation

through one method or another. Uh , that 's not a practical thing , uh , if you have a distant mike , you don't have a close mike ordinarily , but we thought that might make  also might make a good baseline. Uh , it still won't be perfect because there 's noise. Uh , but  And then there are s uh , there are single microphone methods that I think people have done for , uh  for this kind of de - reverberation. Do y do you know any references to any ? Cuz I  I w I was  w w I  I lead him down a  a bad path on that.

Uh , I g I guess  I guess when people are working with single microphones , they are more trying to do


through one method or another. Uh , that 's not a practical thing , uh , if you have a distant mike , you don't have a close mike ordinarily , but we thought that might make  also might make a good baseline. Uh , it still won't be perfect because there 's noise. Uh , but  And then there are s uh , there are single microphone methods that I think people have done for , uh  for this kind of de - reverberation. Do y do you know any references to any ? Cuz I  I w I was  w w I  I lead him down a  a bad path on that.

Uh , I g I guess  I guess when people are working with single microphones , they are more trying to do


through one method or another. Uh , that 's not a practical thing , uh , if you have a distant mike , you don't have a close mike ordinarily , but we thought that might make  also might make a good baseline. Uh , it still won't be perfect because there 's noise. Uh , but  And then there are s uh , there are single microphone methods that I think people have done for , uh  for this kind of de - reverberation. Do y do you know any references to any ? Cuz I  I w I was  w w I  I lead him down a  a bad path on that.

Uh , I g I guess  I guess when people are working with single microphones , they are more trying to do

well , not  not very  Well , there is the Avendano work ,


Uh , I g I guess  I guess when people are working with single microphones , they are more trying to do

well , not  not very  Well , there is the Avendano work ,


well , not  not very  Well , there is the Avendano work ,

but also trying to mmm , uh  trying to f t find the de - convolution filter but in the um  not in the time domain but in the uh the stream of features uh I guess. Well , @ @  there  there 's someone working on this on i in Mons


but also trying to mmm , uh  trying to f t find the de - convolution filter but in the um  not in the time domain but in the uh the stream of features uh I guess. Well , @ @  there  there 's someone working on this on i in Mons

So perhaps , yeah , we should try t to  He 's working on this , on trying to


So perhaps , yeah , we should try t to  He 's working on this , on trying to


So perhaps , yeah , we should try t to  He 's working on this , on trying to

The first paper on this is gonna have great references , I can tell already.


The first paper on this is gonna have great references , I can tell already.


The first paper on this is gonna have great references , I can tell already.

It 's always good to have references , especially when reviewers read it or  or one of the authors and ,  feel they 'll " You 're OK , you 've r You cited me. "


The first paper on this is gonna have great references , I can tell already.

It 's always good to have references , especially when reviewers read it or  or one of the authors and ,  feel they 'll " You 're OK , you 've r You cited me. "

So , yeah. Well , he did echo cancellation and he did some fancier things like , uh ,   uh , training different network on different reverberation conditions and then trying to find the best one , but. Well.


It 's always good to have references , especially when reviewers read it or  or one of the authors and ,  feel they 'll " You 're OK , you 've r You cited me. "

So , yeah. Well , he did echo cancellation and he did some fancier things like , uh ,   uh , training different network on different reverberation conditions and then trying to find the best one , but. Well.


So , yeah. Well , he did echo cancellation and he did some fancier things like , uh ,   uh , training different network on different reverberation conditions and then trying to find the best one , but. Well.


Okay. We'll sta I'll use the PowerPoint , I guess. How was that , was that fun ?


Okay. We'll sta I'll use the PowerPoint , I guess. How was that , was that fun ?

Okay. Uh oh I've forgotten to mail you the minutes , but I will do.


Okay. Uh oh I've forgotten to mail you the minutes , but I will do.


Um  Will you guys first with your prototype um before we get to the good news ?


Okay , have you got a presentation to make ?


Um maybe we should bring  so that the camera can see . Yeah.


Um one's based on the banana , one's based on the tomato


Look. Oh yeah , well yeah , we had v some red left over.


Look. Oh yeah , well yeah , we had v some red left over.

So. Okay , so this is the um non to non uh no buttons one , or as mm few buttons as possible ,


So. Okay , so this is the um non to non uh no buttons one , or as mm few buttons as possible ,

mainly speak recognition. The yellow there is the um


mainly speak recognition. The yellow there is the um


that we need to incorporate , it's very simple. If you do need buttons , you can flip it over , and there's some there ,


that we need to incorporate , it's very simple. If you do need buttons , you can flip it over , and there's some there ,

Okay , so the buttons would be like , you know individual users , or


Okay , so the buttons would be like , you know individual users , or


Okay , so the buttons would be like , you know individual users , or

Yeah and  yeah they might project things onto the screen which you can do on there.


Yeah and  yeah they might project things onto the screen which you can do on there.


Yeah and  yeah they might project things onto the screen which you can do on there.

Mm I'm not sure about that. Um and this one is the one w more like the one w that we looked at earlier.


Mm I'm not sure about that. Um and this one is the one w more like the one w that we looked at earlier.

Yeah , you guys can have a look at that if you want.


Yeah , you guys can have a look at that if you want.


Yeah , you guys can have a look at that if you want.

Well I like the feel of it , I like the feel of it.


Well I like the feel of it , I like the feel of it.


That's that's already got its stand that one. That's it stand.


That's that's already got its stand that one. That's it stand.

It does also lie flat , but that's the that yellow stand there represents the the charging stand.


It does also lie flat , but that's the that yellow stand there represents the the charging stand.


Yeah , if it's standing up it's it's on there , but also we're gonna have the company name on the front , which is the little black kind of line in the middle.


Yeah , if it's standing up it's it's on there , but also we're gonna have the company name on the front , which is the little black kind of line in the middle.

Oh right , okay , brilliant. Like that from its centre.


Yeah , if it's standing up it's it's on there , but also we're gonna have the company name on the front , which is the little black kind of line in the middle.

Oh right , okay , brilliant. Like that from its centre.

So um and that's the um transmit the L_E_D_ thing. These are the s two scroll ones which we thought could be channel up and down and volume up and down. We n were weren't sure about putting them there , because um i it's it kind of could get bashed.


Yeah , if it's standing up it's it's on there , but also we're gonna have the company name on the front , which is the little black kind of line in the middle.

Oh right , okay , brilliant. Like that from its centre.

So um and that's the um transmit the L_E_D_ thing. These are the s two scroll ones which we thought could be channel up and down and volume up and down. We n were weren't sure about putting them there , because um i it's it kind of could get bashed.

Where you're , yeah , uh were you're holding it kind of


Oh right , okay , brilliant. Like that from its centre.

So um and that's the um transmit the L_E_D_ thing. These are the s two scroll ones which we thought could be channel up and down and volume up and down. We n were weren't sure about putting them there , because um i it's it kind of could get bashed.

Where you're , yeah , uh were you're holding it kind of

Yeah. Well , if you hold it , you can  you all can hold it , is  it does actually feel quite ergonomic ,


So um and that's the um transmit the L_E_D_ thing. These are the s two scroll ones which we thought could be channel up and down and volume up and down. We n were weren't sure about putting them there , because um i it's it kind of could get bashed.

Where you're , yeah , uh were you're holding it kind of

Yeah. Well , if you hold it , you can  you all can hold it , is  it does actually feel quite ergonomic ,


Where you're , yeah , uh were you're holding it kind of

Yeah. Well , if you hold it , you can  you all can hold it , is  it does actually feel quite ergonomic ,


Yeah. Well , if you hold it , you can  you all can hold it , is  it does actually feel quite ergonomic ,


Um , obviously I don't think that's real sized .


Okay. Um that's a speaker at the top , so you can speak into it like a little walkie-talkie as well for speak recognition.


Okay. Um that's a speaker at the top , so you can speak into it like a little walkie-talkie as well for speak recognition.

Um and  um then the buttons. Yeah kind of self-explanatory , just buttons whenever you need them. Tried to keep it simple. Oh that's the charging base prongs at the bottom.


Um and  um then the buttons. Yeah kind of self-explanatory , just buttons whenever you need them. Tried to keep it simple. Oh that's the charging base prongs at the bottom.

We used those . And um then the big red button in the middle is the on and off one.


We used those . And um then the big red button in the middle is the on and off one.


It's out of the way as well , I suppose , so. Excellent.


It's out of the way as well , I suppose , so. Excellent.

So  there we go and and um we have the banana-based one too.


So  there we go and and um we have the banana-based one too.

This one is uh , I suppose for the younger audiences.


This one is uh , I suppose for the younger audiences.


This one is uh , I suppose for the younger audiences.

Right , right. It's to uh induce more television watching I suppose or


Right , right. It's to uh induce more television watching I suppose or


Cool  yeah. Well , nice to have uh options at least.


So are there any um improvements or issues or


So are there any um improvements or issues or

Oh there are issues , oh there are issues.


Oh there are issues , oh there are issues.

Um main problem that we have unfortunately being finance.


Um main problem that we have unfortunately being finance.

Uh , let's just enter in the um evaluation criteria.


Um main problem that we have unfortunately being finance.

Uh , let's just enter in the um evaluation criteria.

Um  unfortunately the unit we are currently going to produce minus the extra scroll buttons , uh it's gonna cost us fourteen point six Euros.


Uh , let's just enter in the um evaluation criteria.

Um  unfortunately the unit we are currently going to produce minus the extra scroll buttons , uh it's gonna cost us fourteen point six Euros.


Um  unfortunately the unit we are currently going to produce minus the extra scroll buttons , uh it's gonna cost us fourteen point six Euros.


rea Sorry , I've accidentally highlighted somehow  Um.  There we go.


There we go.  So basically , um in order to save our two Euros um I was thinking that we could have essentially the same shape , but just have it flattened.


Yeah , I mean it's already got a kind of cool shape , so but it wouldn't have to be curved sort of in and out.


Yeah , I mean it's already got a kind of cool shape , so but it wouldn't have to be curved sort of in and out.

And by doing so  Oh no , hold on. Doesn't save us quite as much. I don't know what's going on with this again.


Yeah , I mean it's already got a kind of cool shape , so but it wouldn't have to be curved sort of in and out.

And by doing so  Oh no , hold on. Doesn't save us quite as much. I don't know what's going on with this again.

W why is the uh double curved two of them ?


And by doing so  Oh no , hold on. Doesn't save us quite as much. I don't know what's going on with this again.

W why is the uh double curved two of them ?


W why is the uh double curved two of them ?


This is double-curve. It  This one is single curve.


This is double-curve. It  This one is single curve.

'Cause this is single curve , this is curved on both sides. So double-curve.


This is double-curve. It  This one is single curve.

'Cause this is single curve , this is curved on both sides. So double-curve.

No , I think it means double curved as in um


'Cause this is single curve , this is curved on both sides. So double-curve.

No , I think it means double curved as in um


'Cause this is single curve , this is curved on both sides. So double-curve.

No , I think it means double curved as in um

like uh  a single curve on that bottom half , and the double curved would be if it was that similar curve upward.


No , I think it means double curved as in um

like uh  a single curve on that bottom half , and the double curved would be if it was that similar curve upward.


like uh  a single curve on that bottom half , and the double curved would be if it was that similar curve upward.


like uh  a single curve on that bottom half , and the double curved would be if it was that similar curve upward.

Like this , one curve on this side , one curve on that side.


Like this , one curve on this side , one curve on that side.

I don't think that counts as a curve , I think that's just a shape.


I don't think that counts as a curve , I think that's just a shape.


'Cause that's the uh the biggest expense there , right.


'Cause that's the uh the biggest expense there , right.

Yeah , and why why I've got it two , I don't know , I can't seem to select any more however.


Yeah , and why why I've got it two , I don't know , I can't seem to select any more however.


Cut things out. But you think it should be one.


Cut things out. But you think it should be one.

It's meant to be one , yeah , I don't know why I put two in there ,


Cut things out. But you think it should be one.

It's meant to be one , yeah , I don't know why I put two in there ,

but um  Hold on till I find it , I think this shift button might be stuck again. No maybe the shift button's stuck in.


It's meant to be one , yeah , I don't know why I put two in there ,

but um  Hold on till I find it , I think this shift button might be stuck again. No maybe the shift button's stuck in.


but um  Hold on till I find it , I think this shift button might be stuck again. No maybe the shift button's stuck in.


but um  Hold on till I find it , I think this shift button might be stuck again. No maybe the shift button's stuck in.

Um okay , so that would take away three , which would give us


Um okay , so that would take away three , which would give us


We cou Oh not quite , have the scroll-wheel , unfortunately.


Maybe if you click back in that bottom right cell , where you're starting from , and then use the arrow keys.


Maybe if you click back in that bottom right cell , where you're starting from , and then use the arrow keys.

Yeah , I know , that just extends it as well.


Yeah , I know , that just extends it as well.


You just select one box outsi yeah , this box. Then move it with the help of this  Okay.


You just select one box outsi yeah , this box. Then move it with the help of this  Okay.

It  One of the buttons is sticking , I don't know .


You just select one box outsi yeah , this box. Then move it with the help of this  Okay.

It  One of the buttons is sticking , I don't know .

Just uh just uh  Okay , just a minute. Okay. No input , like this.  Shift. No it's not.


You just select one box outsi yeah , this box. Then move it with the help of this  Okay.

It  One of the buttons is sticking , I don't know .

Just uh just uh  Okay , just a minute. Okay. No input , like this.  Shift. No it's not.

No , it's 'cause the uh the shift button's stuck , or something.


It  One of the buttons is sticking , I don't know .

Just uh just uh  Okay , just a minute. Okay. No input , like this.  Shift. No it's not.

No , it's 'cause the uh the shift button's stuck , or something.


Just uh just uh  Okay , just a minute. Okay. No input , like this.  Shift. No it's not.

No , it's 'cause the uh the shift button's stuck , or something.


No , it's 'cause the uh the shift button's stuck , or something.


Should we ask our technical expert Melissa ?


Should we ask our technical expert Melissa ?

No that's fine. Um we've worked out what it would be anyway.


Should we ask our technical expert Melissa ?

No that's fine. Um we've worked out what it would be anyway.

Did you try both shift buttons ? It could be the other side.


No that's fine. Um we've worked out what it would be anyway.

Did you try both shift buttons ? It could be the other side.


Did you try both shift buttons ? It could be the other side.


Oh well , never mind. Um . Right , so that's finances and I dunno what we  what could we reckon we could add ? Um


Oh well , never mind. Um . Right , so that's finances and I dunno what we  what could we reckon we could add ? Um

Well maybe we could add something , but maybe if


Oh well , never mind. Um . Right , so that's finances and I dunno what we  what could we reckon we could add ? Um

Well maybe we could add something , but maybe if

Well I suppose that's our that's that's our design that we've got. So


Oh well , never mind. Um . Right , so that's finances and I dunno what we  what could we reckon we could add ? Um

Well maybe we could add something , but maybe if

Well I suppose that's our that's that's our design that we've got. So

What do you th We're trying to save money , so. Yeah , if we're happy with the design there's no point in spending money , if we don't have to.


Well maybe we could add something , but maybe if

Well I suppose that's our that's that's our design that we've got. So

What do you th We're trying to save money , so. Yeah , if we're happy with the design there's no point in spending money , if we don't have to.


Well I suppose that's our that's that's our design that we've got. So

What do you th We're trying to save money , so. Yeah , if we're happy with the design there's no point in spending money , if we don't have to.

But if there is anything you think we've missed out there , then , you know , feel free to add it. Maybe  I mean obviously it would be bigger so there might be more space for the the slogan on the front ,


What do you th We're trying to save money , so. Yeah , if we're happy with the design there's no point in spending money , if we don't have to.

But if there is anything you think we've missed out there , then , you know , feel free to add it. Maybe  I mean obviously it would be bigger so there might be more space for the the slogan on the front ,


But if there is anything you think we've missed out there , then , you know , feel free to add it. Maybe  I mean obviously it would be bigger so there might be more space for the the slogan on the front ,

because it's not in an ideal place right now.


But if there is anything you think we've missed out there , then , you know , feel free to add it. Maybe  I mean obviously it would be bigger so there might be more space for the the slogan on the front ,

because it's not in an ideal place right now.

Well that's that's uh  Okay , so project evaluation. We have under twelve  Euros fifty. Project process , how do we think that went ? Are we happy ?


because it's not in an ideal place right now.

Well that's that's uh  Okay , so project evaluation. We have under twelve  Euros fifty. Project process , how do we think that went ? Are we happy ?


Well that's that's uh  Okay , so project evaluation. We have under twelve  Euros fifty. Project process , how do we think that went ? Are we happy ?

Yeah I think we have a a winning product.


Yeah I think we have a a winning product.

Okay.  Evaluation. Oh we've been writing this up for m months.


Yeah I think we have a a winning product.

Okay.  Evaluation. Oh we've been writing this up for m months.

Uh room for creativity , were we happy with that ?


Okay.  Evaluation. Oh we've been writing this up for m months.

Uh room for creativity , were we happy with that ?


Uh room for creativity , were we happy with that ?

No , I mea I think it means sort of individually.


No , I mea I think it means sort of individually.


Okay. Groovy. So uh we're just gonna. Uh yeah , okay. Teamwork ? Leadership , sorry.


Okay. Groovy. So uh we're just gonna. Uh yeah , okay. Teamwork ? Leadership , sorry.

Thank you very much. You're all get you're all getting a raise. Uh teamwork. I thought went well.


Thank you very much. You're all get you're all getting a raise. Uh teamwork. I thought went well.


Yeah , everyone got enough input , I think.


I don't know what , new ideas found , means , to be honest.


I don't know what , new ideas found , means , to be honest.

Yeah , these are new ideas , like glow-in-the-dark or something like that. We discussed all the new ideas , but of course we couldn't reach any proper goals , we couldn't use these  , but we h we are using these scroll buttons like this. These are new ideas we And new shapes , everything


Yeah , these are new ideas , like glow-in-the-dark or something like that. We discussed all the new ideas , but of course we couldn't reach any proper goals , we couldn't use these  , but we h we are using these scroll buttons like this. These are new ideas we And new shapes , everything


So just general thumbs up for all of us then.


So just general thumbs up for all of us then.

That kind of unfortunately is too quick.


That kind of unfortunately is too quick.


Uh so let's talk about our bonuses and the raises we're getting for this , right.


Uh so let's talk about our bonuses and the raises we're getting for this , right.

That's it , um I think another couple of days holiday pay might be well in order for all of you.


That's it , um I think another couple of days holiday pay might be well in order for all of you.

Uh   Let's see if I can get this bloody thing to work.


Uh   Let's see if I can get this bloody thing to work.

Uh maybe we should start cleaning up the clay.


Uh maybe we should start cleaning up the clay.


Does it go back in , does it ? Reusable.


Does it go back in , does it ? Reusable.

I don't know what this is but it's really really annoying.


Does it go back in , does it ? Reusable.

I don't know what this is but it's really really annoying.

So   Uh Brian , have you have you finished ?


I don't know what this is but it's really really annoying.

So   Uh Brian , have you have you finished ?


So   Uh Brian , have you have you finished ?


Huh ? Oh right , okay , you've got more , okay.


It didn't bother to tell me that on this


It didn't bother to tell me that on this

Uh  is the project evaluated , that is mine.


Uh  is the project evaluated , that is mine.


Uh  is the project evaluated , that is mine.

We evaluated ourselves , we thought we were great.


We evaluated ourselves , we thought we were great.


It's  this as well , sorry , we forgot to mention it'll be made out of kind of a rubbery latex , new material that we've got.


Okay , I didn't realise you had that bit.


So now is the final evaluation , final evaluation of the uh uh of our product. How we are going to


So now is the final evaluation , final evaluation of the uh uh of our product. How we are going to

means uh at what standard what standard  whether it meets our standards or not. How mu What rating we will give to these products. So of course this is  will be a team work , w we together have to decide wha what rating we will give to this product and everything. So what methodology I will tell you on what basis we are going to discuss all this.


means uh at what standard what standard  whether it meets our standards or not. How mu What rating we will give to these products. So of course this is  will be a team work , w we together have to decide wha what rating we will give to this product and everything. So what methodology I will tell you on what basis we are going to discuss all this.

We will give the rating to this product based on the user requirements , whether it meets the user requirements or not , this product. Then trends , whether it is as  fashion trends or not ? Means  because we have already stated that people do prefer fashionable things nowadays.


We will give the rating to this product based on the user requirements , whether it meets the user requirements or not , this product. Then trends , whether it is as  fashion trends or not ? Means  because we have already stated that people do prefer fashionable things nowadays.

So this is also an important factor for our evaluation also. Then marketing strategy of the company. As we have already discussed that our company is quite  in the market , not only in terms of providing quality products , not only in pro providing latest technologies , but also in terms of providing environmental s


So this is also an important factor for our evaluation also. Then marketing strategy of the company. As we have already discussed that our company is quite  in the market , not only in terms of providing quality products , not only in pro providing latest technologies , but also in terms of providing environmental s


So  but also in terms of providing environmental safe products , uh yeah like uh keeping uh keeping in mind all the safety issues. So  Now comes the criteria rating with seven point scale. I'm having this scale this scale ,


Do we have the uh the marker for the board ?


So these are the three crite criterias for our evaluation of our product. First of all uh comes user requirement.


So these are the three crite criterias for our evaluation of our product. First of all uh comes user requirement.

So we will see whether this product meets all user requirements or not. I I will  first I would like to have your views , what do you think whether it meets all user requirements or not ?


So we will see whether this product meets all user requirements or not. I I will  first I would like to have your views , what do you think whether it meets all user requirements or not ?

It had all the basic buttons that they needed as well as the uh new technology that people said they wanted.


It had all the basic buttons that they needed as well as the uh new technology that people said they wanted.


It had all the basic buttons that they needed as well as the uh new technology that people said they wanted.

When the user requirement is essentially just to operate the T_V_ ,


When the user requirement is essentially just to operate the T_V_ ,


So what do you think you will personally give.


So what do you think you will personally give.

of course we haven't actually got a working model yet.


of course we haven't actually got a working model yet.

Seven is good , yeah , isn't it ? I can't  True or false ? No sorry tr one is true.


Seven is good , yeah , isn't it ? I can't  True or false ? No sorry tr one is true.


Seven is good , yeah , isn't it ? I can't  True or false ? No sorry tr one is true.

Uh one is  means highest ranking , okay.


Uh one is  means highest ranking , okay.

But I think highest ranking is seven , or one ?


Uh one is  means highest ranking , okay.

But I think highest ranking is seven , or one ?

No it's it's like true is one end , and false is the oth


But I think highest ranking is seven , or one ?

No it's it's like true is one end , and false is the oth


But I think highest ranking is seven , or one ?

No it's it's like true is one end , and false is the oth

Okay , right right. So it's one for from your point of view.


No it's it's like true is one end , and false is the oth

Okay , right right. So it's one for from your point of view.


Okay , right right. So it's one for from your point of view.

And what do you say our Industrial Expert ?


And what do you say our Industrial Expert ?

Uh. It's hard to know. I I give it a two.


And what do you say our Industrial Expert ?

Uh. It's hard to know. I I give it a two.

Uh d you can you can tell on on the like


Uh. It's hard to know. I I give it a two.

Uh d you can you can tell on on the like

I think she has given her views on the basis of design , because she was our i Interface Expert.


Uh d you can you can tell on on the like

I think she has given her views on the basis of design , because she was our i Interface Expert.

But you can give your views based on technology , whether the technology meets the requirements of the customers or not ?


I think she has given her views on the basis of design , because she was our i Interface Expert.

But you can give your views based on technology , whether the technology meets the requirements of the customers or not ?

Um yeah , I think i it might even exceed it um. But I guess there is a kind of a shortage of buttons.


But you can give your views based on technology , whether the technology meets the requirements of the customers or not ?

Um yeah , I think i it might even exceed it um. But I guess there is a kind of a shortage of buttons.


Um yeah , I think i it might even exceed it um. But I guess there is a kind of a shortage of buttons.


Basic requirements but of the pro of the project.


Basic requirements but of the pro of the project.

Okay. Uh for me personally it is everything fine , it may be having good design , it may be uh meeting all the requirements of the customers like technology-wise , price-wise , but there is one thing which limits the customers , like we are having only two , three designs , like we are having one banana design and the other one is orange ,


Okay. Uh for me personally it is everything fine , it may be having good design , it may be uh meeting all the requirements of the customers like technology-wise , price-wise , but there is one thing which limits the customers , like we are having only two , three designs , like we are having one banana design and the other one is orange ,


Uh yeah , lower end. And the third one is what you ge uh that is not a f fruit look.


Uh yeah , lower end. And the third one is what you ge uh that is not a f fruit look.

But if a person doesn't like banana , or orange , you are limiting him.


But if a person doesn't like banana , or orange , you are limiting him.

No , don't buy our product , because we are l we like this only.


No , don't buy our product , because we are l we like this only.


No , don't buy our product , because we are l we like this only.

So we are showing our preference for particular fruits ,


So we are showing our preference for particular fruits ,


So we are showing our preference for particular fruits ,

two or three kinds rather , and  Yeah.  So.


two or three kinds rather , and  Yeah.  So.


two or three kinds rather , and  Yeah.  So.

Uh no , uh personally as a Marketing Expert I don't believe that ,


two or three kinds rather , and  Yeah.  So.

Uh no , uh personally as a Marketing Expert I don't believe that ,

because whatever companies  they launch their products in the shape of fruits , they give a range of products , a range of shapes , like if we see , look at the smallest thing , toffee chocolates , they give a variety of different things.


Uh no , uh personally as a Marketing Expert I don't believe that ,

because whatever companies  they launch their products in the shape of fruits , they give a range of products , a range of shapes , like if we see , look at the smallest thing , toffee chocolates , they give a variety of different things.


Uh no , uh personally as a Marketing Expert I don't believe that ,

because whatever companies  they launch their products in the shape of fruits , they give a range of products , a range of shapes , like if we see , look at the smallest thing , toffee chocolates , they give a variety of different things.

Some children like to buy banana shape , some apple shape , some even pineapple shape , some orange shape.


because whatever companies  they launch their products in the shape of fruits , they give a range of products , a range of shapes , like if we see , look at the smallest thing , toffee chocolates , they give a variety of different things.

Some children like to buy banana shape , some apple shape , some even pineapple shape , some orange shape.

So you can   what shape a person will like.


Some children like to buy banana shape , some apple shape , some even pineapple shape , some orange shape.

So you can   what shape a person will like.


Some children like to buy banana shape , some apple shape , some even pineapple shape , some orange shape.

So you can   what shape a person will like.

So in this case giving only one or two choices we are lim limiting our customers. And by limiting them , we are limiting our sales , limiting our profit also.


So you can   what shape a person will like.

So in this case giving only one or two choices we are lim limiting our customers. And by limiting them , we are limiting our sales , limiting our profit also.

Uh-huh. But in electronics , I think , it's not q always quite so um  you don't always have so many choices as with chocolates.


So in this case giving only one or two choices we are lim limiting our customers. And by limiting them , we are limiting our sales , limiting our profit also.

Uh-huh. But in electronics , I think , it's not q always quite so um  you don't always have so many choices as with chocolates.

I think , you know , if you're going to buy a T_V_ maybe a company'll have  That you're going to choose from , a company'll have two or three choices , but they're different designs. We were coming up with one product.


So in this case giving only one or two choices we are lim limiting our customers. And by limiting them , we are limiting our sales , limiting our profit also.

Uh-huh. But in electronics , I think , it's not q always quite so um  you don't always have so many choices as with chocolates.

I think , you know , if you're going to buy a T_V_ maybe a company'll have  That you're going to choose from , a company'll have two or three choices , but they're different designs. We were coming up with one product.

Uh maybe. Okay but I will I will personally  won't give it  beyond three.


Uh-huh. But in electronics , I think , it's not q always quite so um  you don't always have so many choices as with chocolates.

I think , you know , if you're going to buy a T_V_ maybe a company'll have  That you're going to choose from , a company'll have two or three choices , but they're different designs. We were coming up with one product.

Uh maybe. Okay but I will I will personally  won't give it  beyond three.

No , I mean uh  obviously your opinion ,


I think , you know , if you're going to buy a T_V_ maybe a company'll have  That you're going to choose from , a company'll have two or three choices , but they're different designs. We were coming up with one product.

Uh maybe. Okay but I will I will personally  won't give it  beyond three.

No , I mean uh  obviously your opinion ,


Uh maybe. Okay but I will I will personally  won't give it  beyond three.

No , I mean uh  obviously your opinion ,


No , I mean uh  obviously your opinion ,


Yeah , on an average we can think three , four sevenths , maybe. Three or four ?


No sorry , sorry , sorry , sorry , we are doing a very wrong thing.


No sorry , sorry , sorry , sorry , we are doing a very wrong thing.

Yeah , yeah , we are taking everything ,


Yeah , yeah , we are taking everything ,


Yeah , yeah , we are taking everything ,

and that's  I have taken it very wrongly.


and that's  I have taken it very wrongly.


three four four two six seven seven sev Yeah one pe exactly. So we can say one or two.


three four four two six seven seven sev Yeah one pe exactly. So we can say one or two.

because it is one point eight uh  two , so we will do two.


because it is one point eight uh  two , so we will do two.


Can you explain what you want us to write there ?


Can you explain what you want us to write there ?

How it  how conforms to the current trends ?


Can you explain what you want us to write there ?

How it  how conforms to the current trends ?

Yeah , again the the fashion trends , this also like whether it it will be fashionable to have these products in the  uh as a fruit shape or something.


How it  how conforms to the current trends ?

Yeah , again the the fashion trends , this also like whether it it will be fashionable to have these products in the  uh as a fruit shape or something.


Yeah , again the the fashion trends , this also like whether it it will be fashionable to have these products in the  uh as a fruit shape or something.


Well um going on uh the specifications that we had , that fruit and vegetables are quite popular , and that people like something that is good to look at and not many buttons , I would give it um , well , because it's hard to make a fruit good to look at , that that looks cool , you know ,


'Kay. As far as the uh technology it its' got the latest trends in speech technology , but it's missing the screen , as we said , um but it does have the push-buttons , or the scroll-buttons , um but it doesn't have that fancy solar power or the the vibrating energy mechanism. So I give it a a four. I'd give it a kinda middle of the road for


'Kay. As far as the uh technology it its' got the latest trends in speech technology , but it's missing the screen , as we said , um but it does have the push-buttons , or the scroll-buttons , um but it doesn't have that fancy solar power or the the vibrating energy mechanism. So I give it a a four. I'd give it a kinda middle of the road for

Yeah , I am sort of pret uh   Just the fruit does me in , I mean uh it might


Yeah , I am sort of pret uh   Just the fruit does me in , I mean uh it might

it might be trendy to some , but I'm just not swallowing the fruit , so um


Yeah , I am sort of pret uh   Just the fruit does me in , I mean uh it might

it might be trendy to some , but I'm just not swallowing the fruit , so um

Uh also uh I would have liked to have seen the L_C_D_ screen in it. Um so yeah I'd say about four as well.


it might be trendy to some , but I'm just not swallowing the fruit , so um

Uh also uh I would have liked to have seen the L_C_D_ screen in it. Um so yeah I'd say about four as well.

Okay. Uh personally I wi uh I think that in terms of trends , these products are quite good , like , these products are in fruit shape , because that wha people now  our fashion trend shows that people like everything  all f everything that is being advertised , like clothes , shoes , and everything is being advertised in the form of fruits and vegetables , or getting them  or showing some association with them.


Uh also uh I would have liked to have seen the L_C_D_ screen in it. Um so yeah I'd say about four as well.

Okay. Uh personally I wi uh I think that in terms of trends , these products are quite good , like , these products are in fruit shape , because that wha people now  our fashion trend shows that people like everything  all f everything that is being advertised , like clothes , shoes , and everything is being advertised in the form of fruits and vegetables , or getting them  or showing some association with them.


Uh also uh I would have liked to have seen the L_C_D_ screen in it. Um so yeah I'd say about four as well.

Okay. Uh personally I wi uh I think that in terms of trends , these products are quite good , like , these products are in fruit shape , because that wha people now  our fashion trend shows that people like everything  all f everything that is being advertised , like clothes , shoes , and everything is being advertised in the form of fruits and vegetables , or getting them  or showing some association with them.

So and in this way our product is good. And the second thing , now people don't want any complicated or bulky products and ours is quite simple and quite handy.


Okay. Uh personally I wi uh I think that in terms of trends , these products are quite good , like , these products are in fruit shape , because that wha people now  our fashion trend shows that people like everything  all f everything that is being advertised , like clothes , shoes , and everything is being advertised in the form of fruits and vegetables , or getting them  or showing some association with them.

So and in this way our product is good. And the second thing , now people don't want any complicated or bulky products and ours is quite simple and quite handy.


So and in this way our product is good. And the second thing , now people don't want any complicated or bulky products and ours is quite simple and quite handy.


So and in this way our product is good. And the second thing , now people don't want any complicated or bulky products and ours is quite simple and quite handy.

Our product meets the f the fashion uh trends of the market. And yes. It is cus spongy also. So they can play with it , it's quite good.


Our product meets the f the fashion uh trends of the market. And yes. It is cus spongy also. So they can play with it , it's quite good.

So then I think , maybe I can give it two. So four five ten thirteen thirteen . So we can  Is it fine ? So what about company strategy ?


So then I think , maybe I can give it two. So four five ten thirteen thirteen . So we can  Is it fine ? So what about company strategy ?


Yeah , the company strategy , okay. Um  there was lot of discussing , that was good. Um I feel I got my say. Um so I'd give the company strategy a  two.


Yeah , the company strategy , okay. Um  there was lot of discussing , that was good. Um I feel I got my say. Um so I'd give the company strategy a  two.

Well , I think it's the the remote control conforms to the the company strategy.


Well , I think it's the the remote control conforms to the the company strategy.


Um yeah , a three. Pretty much kept to the company strategy , so I would go for a  a one , as we not only kept it , but we were limited by


Um yeah , a three. Pretty much kept to the company strategy , so I would go for a  a one , as we not only kept it , but we were limited by

Yeah , and me also , like , this product me uh me uh me uh this meets all company strategy like our product should be as per customers' requirement , as per latest technology , and it should be environmental safe. So since our product meets all these requirements , so I would also prefer to give it rank one. So four six six


Yeah , and me also , like , this product me uh me uh me uh this meets all company strategy like our product should be as per customers' requirement , as per latest technology , and it should be environmental safe. So since our product meets all these requirements , so I would also prefer to give it rank one. So four six six


Okay. So th seven seven. Uh overall we are getting two  something , but we can round it as two.


Okay. So th seven seven. Uh overall we are getting two  something , but we can round it as two.

Yeah. So I think overall uh evaluation of our product is quite good.


Yeah. So I think overall uh evaluation of our product is quite good.


In which case we are done. 'Cause we've evaluated and we are within budget.


Am I on ? I guess so. Radio two. Hmm. Radio two.


People say the strangest things when their microphones are on.


Yeah. So y you guys had a  a meeting with uh  with Hynek which I unfortunately had to miss. Um and uh somebody


Yeah. So y you guys had a  a meeting with uh  with Hynek which I unfortunately had to miss. Um and uh somebody

eh e and uh I guess Chuck you weren't there either , so the uh


eh e and uh I guess Chuck you weren't there either , so the uh


So everybody knows what happened except me. OK.  Maybe somebody should tell me.


So everybody knows what happened except me. OK.  Maybe somebody should tell me.

Oh yeah. Alright. Well. Uh first we discussed about some of the points that I was addressing in the mail I sent last week.


So everybody knows what happened except me. OK.  Maybe somebody should tell me.

Oh yeah. Alright. Well. Uh first we discussed about some of the points that I was addressing in the mail I sent last week.

So. Yeah. About the um , well  the downsampling problem.


Oh yeah. Alright. Well. Uh first we discussed about some of the points that I was addressing in the mail I sent last week.

So. Yeah. About the um , well  the downsampling problem.


So. Yeah. About the um , well  the downsampling problem.

Uh and about the f the length of the filters and  Yeah.


So. Yeah. About the um , well  the downsampling problem.

Uh and about the f the length of the filters and  Yeah.

What was the  w what was the downsampling problem again ?


Uh and about the f the length of the filters and  Yeah.

What was the  w what was the downsampling problem again ?


What was the  w what was the downsampling problem again ?

So the fact that there  there is no uh low - pass filtering before the downsampling. Well.


So the fact that there  there is no uh low - pass filtering before the downsampling. Well.


So the fact that there  there is no uh low - pass filtering before the downsampling. Well.

There is because there is LDA filtering but that 's perhaps not uh the best w m


So the fact that there  there is no uh low - pass filtering before the downsampling. Well.

There is because there is LDA filtering but that 's perhaps not uh the best w m

Depends what it 's frequency characteristic is , yeah.


There is because there is LDA filtering but that 's perhaps not uh the best w m

Depends what it 's frequency characteristic is , yeah.


There is because there is LDA filtering but that 's perhaps not uh the best w m

Depends what it 's frequency characteristic is , yeah.

So you could do a  you could do a stricter one.


Depends what it 's frequency characteristic is , yeah.

So you could do a  you could do a stricter one.


So you could do a  you could do a stricter one.


So you could do a  you could do a stricter one.

Yeah. So we discussed about this , about the um


Yeah. So we discussed about this , about the um


Yeah. So again this is th this is the downsampling  uh of the uh  the feature vector stream


Yeah. So again this is th this is the downsampling  uh of the uh  the feature vector stream

and um Yeah I guess the  the uh LDA filters they were doing do have um  uh let 's see , so the  the  the feature vectors are calculated every ten milliseconds so uh the question is how far down they are at fifty  fifty hertz. Uh.  Um.


and um Yeah I guess the  the uh LDA filters they were doing do have um  uh let 's see , so the  the  the feature vectors are calculated every ten milliseconds so uh the question is how far down they are at fifty  fifty hertz. Uh.  Um.

Sorry at twenty - five hertz since they 're downsampling by two. So. Does anybody know what the frequency characteristic is ?


Sorry at twenty - five hertz since they 're downsampling by two. So. Does anybody know what the frequency characteristic is ?


We should have a look first at , perhaps ,  the modulation spectrum.


We should have a look first at , perhaps ,  the modulation spectrum.

Um. So there is this , there is the um length of the filters. Um.   So the i this idea of trying to find filters with shorter delays. Um. We started to work with this.


Um. So there is this , there is the um length of the filters. Um.   So the i this idea of trying to find filters with shorter delays. Um. We started to work with this.

Mmm. And the third point um   was the um , yeah ,  the on - line normalization where , well , the recursion f recursion for the mean estimation  is a filter with some kind of delay


Mmm. And the third point um   was the um , yeah ,  the on - line normalization where , well , the recursion f recursion for the mean estimation  is a filter with some kind of delay

and that 's not taken into account right now. Um. Yeah. And there again , yeah. For this , the conclusion of Hynek was , well , " we can try it but  "


and that 's not taken into account right now. Um. Yeah. And there again , yeah. For this , the conclusion of Hynek was , well , " we can try it but  "


So try to um   um take into account the delay of the recursion for the mean estimation.


So try to um   um take into account the delay of the recursion for the mean estimation.

Mmm. And this  we 've not uh worked on this yet. Um , yeah. And so while discussing about these  these LDA filters , some i issues appeared , like well , the fact that if we look at the frequency response of these filters it 's uh , well , we don't know really what 's the important part in the frequency response and there is the fact that  in the very low frequency , these filters don't  don't really remove a lot.  compared to the  to the uh standard RASTA filter. Uh and that 's probably a reason why , yeah , on - line normalization helps because it  it ,


Mmm. And this  we 've not uh worked on this yet. Um , yeah. And so while discussing about these  these LDA filters , some i issues appeared , like well , the fact that if we look at the frequency response of these filters it 's uh , well , we don't know really what 's the important part in the frequency response and there is the fact that  in the very low frequency , these filters don't  don't really remove a lot.  compared to the  to the uh standard RASTA filter. Uh and that 's probably a reason why , yeah , on - line normalization helps because it  it ,

yeah , it removed this mean. Um. Yeah , but perhaps everything could  should be  could be in the filter , I mean , uh the  the mean normalization and  Yeah. So. Yeah. So basically that was  that 's  all we discussed about. We discussed about  good things to do also uh well , generally good stuff  to do for the research.


yeah , it removed this mean. Um. Yeah , but perhaps everything could  should be  could be in the filter , I mean , uh the  the mean normalization and  Yeah. So. Yeah. So basically that was  that 's  all we discussed about. We discussed about  good things to do also uh well , generally good stuff  to do for the research.

And this was this LDA uh tuning perhaps and  Hynek proposed again to his uh TRAPS , so.


And this was this LDA uh tuning perhaps and  Hynek proposed again to his uh TRAPS , so.


And this was this LDA uh tuning perhaps and  Hynek proposed again to his uh TRAPS , so.

I mean I g I guess the key thing for me is  is figuring out how to better coordinate between the two sides


I mean I g I guess the key thing for me is  is figuring out how to better coordinate between the two sides


uh I was talking with Hynek about it later and the  the  sort of had the sense sort of that  that neither group of people wanted to  to bother the other group too much. And  and I don't think anybody is , you know , closed in in their thinking or are unwilling to talk about things but I think that  you were sort of waiting for them to  tell you that they had something for you and  and that  and expected that they would do certain things and they were sor they didn't wanna bother you


uh I was talking with Hynek about it later and the  the  sort of had the sense sort of that  that neither group of people wanted to  to bother the other group too much. And  and I don't think anybody is , you know , closed in in their thinking or are unwilling to talk about things but I think that  you were sort of waiting for them to  tell you that they had something for you and  and that  and expected that they would do certain things and they were sor they didn't wanna bother you

and  they were sort of waiting for you and  and  and uh we ended up with this thing where they  they were filling up all of the possible latency themselves , and they just had hadn't thought of that. So. Uh.      I mean it 's true that maybe  maybe no one really thought about that  that this latency thing would be such a  a strict issue


and  they were sort of waiting for you and  and  and uh we ended up with this thing where they  they were filling up all of the possible latency themselves , and they just had hadn't thought of that. So. Uh.      I mean it 's true that maybe  maybe no one really thought about that  that this latency thing would be such a  a strict issue


and  they were sort of waiting for you and  and  and uh we ended up with this thing where they  they were filling up all of the possible latency themselves , and they just had hadn't thought of that. So. Uh.      I mean it 's true that maybe  maybe no one really thought about that  that this latency thing would be such a  a strict issue

Yeah I don't know what happened really , but


Yeah I don't know what happened really , but


Yeah I don't know what happened really , but

I guess it 's  it 's also so uh the time constraints. Because ,  well , we discussed about that  about this problem and they told us " well , we will do all that 's possible to have enough space for a network " but then , yeah , perhaps they were too short with the time and


I guess it 's  it 's also so uh the time constraints. Because ,  well , we discussed about that  about this problem and they told us " well , we will do all that 's possible to have enough space for a network " but then , yeah , perhaps they were too short with the time and

uh yeah. But there was also problem  perhaps a problem of communication. So , yeah. Now we will try to


uh yeah. But there was also problem  perhaps a problem of communication. So , yeah. Now we will try to


So there 's um  Alright. Well maybe we should just uh I mean you 're  you 're bus other than that you folks are busy doing all the  all the things that you 're trying that we talked about before right ? And this  machines are busy and  you 're busy


Let 's  let 's , I mean , I think that as  as we said before that one of the things that we 're imagining is that uh there  there will be  uh in the system we end up with there 'll be something to explicitly uh uh do something about noise


Let 's  let 's , I mean , I think that as  as we said before that one of the things that we 're imagining is that uh there  there will be  uh in the system we end up with there 'll be something to explicitly uh uh do something about noise

in addition to the uh other things that we 're talking about and that 's probably the best thing to do. And there was that one email that said that  it sounded like uh uh things looked very promising up there in terms of uh I think they were using Ericsson 's  approach or something and  in addition to  They 're doing some noise removal thing , right ?


Let 's  let 's , I mean , I think that as  as we said before that one of the things that we 're imagining is that uh there  there will be  uh in the system we end up with there 'll be something to explicitly uh uh do something about noise

in addition to the uh other things that we 're talking about and that 's probably the best thing to do. And there was that one email that said that  it sounded like uh uh things looked very promising up there in terms of uh I think they were using Ericsson 's  approach or something and  in addition to  They 're doing some noise removal thing , right ?

Yeah , yeah. So yeah we 're  will start to do this also.


in addition to the uh other things that we 're talking about and that 's probably the best thing to do. And there was that one email that said that  it sounded like uh uh things looked very promising up there in terms of uh I think they were using Ericsson 's  approach or something and  in addition to  They 're doing some noise removal thing , right ?

Yeah , yeah. So yeah we 're  will start to do this also.


in addition to the uh other things that we 're talking about and that 's probably the best thing to do. And there was that one email that said that  it sounded like uh uh things looked very promising up there in terms of uh I think they were using Ericsson 's  approach or something and  in addition to  They 're doing some noise removal thing , right ?

Yeah , yeah. So yeah we 're  will start to do this also.

Uh so Carmen is just looking at the Ericsson  Ericsson code.


Yeah , yeah. So yeah we 're  will start to do this also.

Uh so Carmen is just looking at the Ericsson  Ericsson code.


Uh so Carmen is just looking at the Ericsson  Ericsson code.


Yeah , I modified it  well , modifying   I studied Barry 's sim code , more or less. to take @ @ the first step the spectral subtraction. and we have some  the feature for Italian database and we will try with this feature with the filter to find the result.


Yeah , I modified it  well , modifying   I studied Barry 's sim code , more or less. to take @ @ the first step the spectral subtraction. and we have some  the feature for Italian database and we will try with this feature with the filter to find the result.

But we haven't result until this moment.


But we haven't result until this moment.


and maybe try another type of spectral subtraction , I don't


and maybe try another type of spectral subtraction , I don't

When you say you don't have a result yet you mean it 's  it 's just that it 's in process or that you   it finished and it didn't get a good result ?


and maybe try another type of spectral subtraction , I don't

When you say you don't have a result yet you mean it 's  it 's just that it 's in process or that you   it finished and it didn't get a good result ?

No. No , no n we have n we have do the experiment only have the feature  the feature but the experiment have


When you say you don't have a result yet you mean it 's  it 's just that it 's in process or that you   it finished and it didn't get a good result ?

No. No , no n we have n we have do the experiment only have the feature  the feature but the experiment have


No. No , no n we have n we have do the experiment only have the feature  the feature but the experiment have


and maybe will be good result or bad result , we don't know.


and maybe will be good result or bad result , we don't know.

OK. So um I suggest actually now we  we  we sorta move on and  and hear what 's  what 's  what 's happening in  in other areas like  what 's  what 's happening with your  investigations  about echos and so on.


OK. So um I suggest actually now we  we  we sorta move on and  and hear what 's  what 's  what 's happening in  in other areas like  what 's  what 's happening with your  investigations  about echos and so on.

Oh um Well um I haven't started writing the test yet , I 'm meeting with Adam today


OK. So um I suggest actually now we  we  we sorta move on and  and hear what 's  what 's  what 's happening in  in other areas like  what 's  what 's happening with your  investigations  about echos and so on.

Oh um Well um I haven't started writing the test yet , I 'm meeting with Adam today

um and he 's going t show me the scripts he has for um   running recognition on mee Meeting Recorder digits.


Oh um Well um I haven't started writing the test yet , I 'm meeting with Adam today

um and he 's going t show me the scripts he has for um   running recognition on mee Meeting Recorder digits.


um and he 's going t show me the scripts he has for um   running recognition on mee Meeting Recorder digits.

Uh  I also um   haven't got the code yet , I haven't asked Hynek for  for the  for his code yet. Cuz I looked at uh Avendano 's thesis and  I don't really understand what he 's doing yet but it   it  it sounded like um  the channel normalization part  um of his thesis um  was done in a  a bit of I don't know what the word is , a  a bit of a rough way um  it sounded like he um he  he  it  it wasn't really fleshed out and maybe he did something that was  interesting for the test situation but I  I 'm not sure if it 's  what I 'd wanna use so I have to  I have to read it more , I don't really understand what he 's doing yet.


um and he 's going t show me the scripts he has for um   running recognition on mee Meeting Recorder digits.

Uh  I also um   haven't got the code yet , I haven't asked Hynek for  for the  for his code yet. Cuz I looked at uh Avendano 's thesis and  I don't really understand what he 's doing yet but it   it  it sounded like um  the channel normalization part  um of his thesis um  was done in a  a bit of I don't know what the word is , a  a bit of a rough way um  it sounded like he um he  he  it  it wasn't really fleshed out and maybe he did something that was  interesting for the test situation but I  I 'm not sure if it 's  what I 'd wanna use so I have to  I have to read it more , I don't really understand what he 's doing yet.

OK. Yeah I haven't read it in a while so I 'm not gonna be too much help unless I read it again ,


Uh  I also um   haven't got the code yet , I haven't asked Hynek for  for the  for his code yet. Cuz I looked at uh Avendano 's thesis and  I don't really understand what he 's doing yet but it   it  it sounded like um  the channel normalization part  um of his thesis um  was done in a  a bit of I don't know what the word is , a  a bit of a rough way um  it sounded like he um he  he  it  it wasn't really fleshed out and maybe he did something that was  interesting for the test situation but I  I 'm not sure if it 's  what I 'd wanna use so I have to  I have to read it more , I don't really understand what he 's doing yet.

OK. Yeah I haven't read it in a while so I 'm not gonna be too much help unless I read it again ,


OK. Yeah I haven't read it in a while so I 'm not gonna be too much help unless I read it again ,


so. OK. Um.  The um  so you , and then  you 're also gonna be doing this echo cancelling between the  the close mounted and the   and the  the  the  what we 're calling a cheating experiment uh of sorts between the distant


so. OK. Um.  The um  so you , and then  you 're also gonna be doing this echo cancelling between the  the close mounted and the   and the  the  the  what we 're calling a cheating experiment uh of sorts between the distant

Uh I I 'm ho Right. Well   or I 'm hoping  I 'm hoping Espen will do it.


Uh I I 'm ho Right. Well   or I 'm hoping  I 'm hoping Espen will do it.


Delegate. That 's good. It 's good to delegate.


Delegate. That 's good. It 's good to delegate.

I  I think he 's at least planning to do it for the cl close - mike cross - talk and so maybe I can just take whatever setup he has and use it.


Delegate. That 's good. It 's good to delegate.

I  I think he 's at least planning to do it for the cl close - mike cross - talk and so maybe I can just take whatever setup he has and use it.

Great. Great. Yeah actually um he should uh I wonder who else is I think maybe it 's Dan Ellis is going to be doing uh a different cancellation. Um.  One of the things that people working in the meeting task wanna get at is they would like to have cleaner  close - miked recordings. So uh this is especially true for the lapel but even for the close  close - miked uh cases um we 'd like to be able to have  um other sounds from other people and so forth removed from  So when someone isn't speaking you 'd like the part where they 're not speaking to actually be  So  what they 're talking about doing is using ec uh echo cancellation - like techniques. It 's not really echo but  uh just um uh taking the input from other mikes and using uh  uh a uh   an adaptive filtering approach to remove the effect of that uh other speech. So. Um what was it , there was  there was some  some  some point where  eh uh Eric or somebody was  was speaking and he had lots of  silence in his channel and I was saying something to somebody else uh  which was in the background and it was not  it was recognizing my words , which were the background speech  on the close   close mike.


I  I think he 's at least planning to do it for the cl close - mike cross - talk and so maybe I can just take whatever setup he has and use it.

Great. Great. Yeah actually um he should uh I wonder who else is I think maybe it 's Dan Ellis is going to be doing uh a different cancellation. Um.  One of the things that people working in the meeting task wanna get at is they would like to have cleaner  close - miked recordings. So uh this is especially true for the lapel but even for the close  close - miked uh cases um we 'd like to be able to have  um other sounds from other people and so forth removed from  So when someone isn't speaking you 'd like the part where they 're not speaking to actually be  So  what they 're talking about doing is using ec uh echo cancellation - like techniques. It 's not really echo but  uh just um uh taking the input from other mikes and using uh  uh a uh   an adaptive filtering approach to remove the effect of that uh other speech. So. Um what was it , there was  there was some  some  some point where  eh uh Eric or somebody was  was speaking and he had lots of  silence in his channel and I was saying something to somebody else uh  which was in the background and it was not  it was recognizing my words , which were the background speech  on the close   close mike.

Oh the  What we talked about yesterday ?


Great. Great. Yeah actually um he should uh I wonder who else is I think maybe it 's Dan Ellis is going to be doing uh a different cancellation. Um.  One of the things that people working in the meeting task wanna get at is they would like to have cleaner  close - miked recordings. So uh this is especially true for the lapel but even for the close  close - miked uh cases um we 'd like to be able to have  um other sounds from other people and so forth removed from  So when someone isn't speaking you 'd like the part where they 're not speaking to actually be  So  what they 're talking about doing is using ec uh echo cancellation - like techniques. It 's not really echo but  uh just um uh taking the input from other mikes and using uh  uh a uh   an adaptive filtering approach to remove the effect of that uh other speech. So. Um what was it , there was  there was some  some  some point where  eh uh Eric or somebody was  was speaking and he had lots of  silence in his channel and I was saying something to somebody else uh  which was in the background and it was not  it was recognizing my words , which were the background speech  on the close   close mike.

Oh the  What we talked about yesterday ?


Oh the  What we talked about yesterday ?

Yeah that was actually my  I was wearing the  I was wearing the lapel and you were sitting next to me ,


Yeah that was actually my  I was wearing the  I was wearing the lapel and you were sitting next to me ,

and I only said one thing but you were talking and it was picking up all your words.


Yeah that was actually my  I was wearing the  I was wearing the lapel and you were sitting next to me ,

and I only said one thing but you were talking and it was picking up all your words.

Yeah. Yeah. So they would like clean channels. Uh and for that  mmm uh  that purpose uh they 'd like to pull it out. So I think   I think Dan Ellis or somebody who was working with him was going to uh work on that. So. OK. Right ? Um.  And uh I don't know if we 've talked lately about the  the plans you 're developing that we talked about this morning uh I don't remember if we talked about that last week or not , but  maybe just a quick reprise of  of what we were saying this morning.


and I only said one thing but you were talking and it was picking up all your words.

Yeah. Yeah. So they would like clean channels. Uh and for that  mmm uh  that purpose uh they 'd like to pull it out. So I think   I think Dan Ellis or somebody who was working with him was going to uh work on that. So. OK. Right ? Um.  And uh I don't know if we 've talked lately about the  the plans you 're developing that we talked about this morning uh I don't remember if we talked about that last week or not , but  maybe just a quick reprise of  of what we were saying this morning.


Yeah. Yeah. So they would like clean channels. Uh and for that  mmm uh  that purpose uh they 'd like to pull it out. So I think   I think Dan Ellis or somebody who was working with him was going to uh work on that. So. OK. Right ? Um.  And uh I don't know if we 've talked lately about the  the plans you 're developing that we talked about this morning uh I don't remember if we talked about that last week or not , but  maybe just a quick reprise of  of what we were saying this morning.


What about the stuff that um Mirjam has been doing ? And  and S Shawn , yeah. Oh. So they 're training up nets to try to recognize these acoustic features ? I see.


What about the stuff that um Mirjam has been doing ? And  and S Shawn , yeah. Oh. So they 're training up nets to try to recognize these acoustic features ? I see.

But that 's uh uh all  that 's  is a  a certainly relevant   uh study and , you know , what are the features that they 're finding. We have this problem with the overloading of the term " feature " so


What about the stuff that um Mirjam has been doing ? And  and S Shawn , yeah. Oh. So they 're training up nets to try to recognize these acoustic features ? I see.

But that 's uh uh all  that 's  is a  a certainly relevant   uh study and , you know , what are the features that they 're finding. We have this problem with the overloading of the term " feature " so

uh  what are the variables , what we 're calling this one , what are the variables that they 're found  finding useful


But that 's uh uh all  that 's  is a  a certainly relevant   uh study and , you know , what are the features that they 're finding. We have this problem with the overloading of the term " feature " so

uh  what are the variables , what we 're calling this one , what are the variables that they 're found  finding useful


uh  what are the variables , what we 're calling this one , what are the variables that they 're found  finding useful


uh  what are the variables , what we 're calling this one , what are the variables that they 're found  finding useful

And their  their targets are based on canonical mappings of phones to acoustic f features.


And their  their targets are based on canonical mappings of phones to acoustic f features.

Right. And that 's certainly one thing to do and we 're gonna try and do something more f more fine than that but uh um so um So I guess you know what , I was trying to remember some of the things we were saying , do you ha still have that  ? Yeah.


And their  their targets are based on canonical mappings of phones to acoustic f features.

Right. And that 's certainly one thing to do and we 're gonna try and do something more f more fine than that but uh um so um So I guess you know what , I was trying to remember some of the things we were saying , do you ha still have that  ? Yeah.

There 's those   that uh yeah , some of  some of the issues we were talking about was in j just getting a good handle on  on uh  what " good features " are and


Right. And that 's certainly one thing to do and we 're gonna try and do something more f more fine than that but uh um so um So I guess you know what , I was trying to remember some of the things we were saying , do you ha still have that  ? Yeah.

There 's those   that uh yeah , some of  some of the issues we were talking about was in j just getting a good handle on  on uh  what " good features " are and

What does  what did um Larry Saul use for  it was the sonorant uh detector , right ? How did he  H how did he do that ? Wh - what was his detector ? Mm - hmm. Mm - hmm. Oh , OK. Mm - hmm. So how did he combine all these features ? What  what r mmm classifier did he Hmm. Oh right. You were talking about that , yeah. I see.


There 's those   that uh yeah , some of  some of the issues we were talking about was in j just getting a good handle on  on uh  what " good features " are and

What does  what did um Larry Saul use for  it was the sonorant uh detector , right ? How did he  H how did he do that ? Wh - what was his detector ? Mm - hmm. Mm - hmm. Oh , OK. Mm - hmm. So how did he combine all these features ? What  what r mmm classifier did he Hmm. Oh right. You were talking about that , yeah. I see.

And the other thing you were talking about is  is  is where we get the targets from. So I mean , there 's these issues of what are the  what are the variables that you use and do you combine them using the soft " AND - OR " or you do something , you know , more complicated um and then the other thing was so where do you get the targets from ? The initial thing is just the obvious that we 're discussing is starting up with phone labels  from somewhere and then uh doing the transformation. But then the other thing is to do something better and eh w why don't you tell us again about this  this database ? This is the


What does  what did um Larry Saul use for  it was the sonorant uh detector , right ? How did he  H how did he do that ? Wh - what was his detector ? Mm - hmm. Mm - hmm. Oh , OK. Mm - hmm. So how did he combine all these features ? What  what r mmm classifier did he Hmm. Oh right. You were talking about that , yeah. I see.

And the other thing you were talking about is  is  is where we get the targets from. So I mean , there 's these issues of what are the  what are the variables that you use and do you combine them using the soft " AND - OR " or you do something , you know , more complicated um and then the other thing was so where do you get the targets from ? The initial thing is just the obvious that we 're discussing is starting up with phone labels  from somewhere and then uh doing the transformation. But then the other thing is to do something better and eh w why don't you tell us again about this  this database ? This is the

And then tell them to talk naturally ? Yeah , yeah.


And the other thing you were talking about is  is  is where we get the targets from. So I mean , there 's these issues of what are the  what are the variables that you use and do you combine them using the soft " AND - OR " or you do something , you know , more complicated um and then the other thing was so where do you get the targets from ? The initial thing is just the obvious that we 're discussing is starting up with phone labels  from somewhere and then uh doing the transformation. But then the other thing is to do something better and eh w why don't you tell us again about this  this database ? This is the

And then tell them to talk naturally ? Yeah , yeah.

Pierced tongues and Yeah. You could just mount it to that and they wouldn't even notice. Weld it. Zzz.


And then tell them to talk naturally ? Yeah , yeah.

Pierced tongues and Yeah. You could just mount it to that and they wouldn't even notice. Weld it. Zzz.

Maybe you could go to these parlors and  and you could , you know  you know have  have , you know , reduced rates if you   if you can do the measurements.


And then tell them to talk naturally ? Yeah , yeah.

Pierced tongues and Yeah. You could just mount it to that and they wouldn't even notice. Weld it. Zzz.

Maybe you could go to these parlors and  and you could , you know  you know have  have , you know , reduced rates if you   if you can do the measurements.

Yeah. I That 's right. You could  what you could do is you could sell little rings and stuff with embedded you know , transmitters in them and things


Pierced tongues and Yeah. You could just mount it to that and they wouldn't even notice. Weld it. Zzz.

Maybe you could go to these parlors and  and you could , you know  you know have  have , you know , reduced rates if you   if you can do the measurements.

Yeah. I That 's right. You could  what you could do is you could sell little rings and stuff with embedded you know , transmitters in them and things


Maybe you could go to these parlors and  and you could , you know  you know have  have , you know , reduced rates if you   if you can do the measurements.

Yeah. I That 's right. You could  what you could do is you could sell little rings and stuff with embedded you know , transmitters in them and things


Yeah. I That 's right. You could  what you could do is you could sell little rings and stuff with embedded you know , transmitters in them and things


Hmm ! There 's a bunch of data that l around , that  people have done studies like that w way way back right ? I mean  I can't remember where  uh Wisconsin or someplace that used to have a big database of  Yeah. I remember there was this guy at A T - andT , Randolph ? or r What was his name ? Do you remember that guy ? Um ,   researcher at A T - andT a while back that was studying , trying to do speech recognition from these kinds of features. I can't remember what his name was. Dang. Now I 'll think of it. That 's interesting.


Hmm ! There 's a bunch of data that l around , that  people have done studies like that w way way back right ? I mean  I can't remember where  uh Wisconsin or someplace that used to have a big database of  Yeah. I remember there was this guy at A T - andT , Randolph ? or r What was his name ? Do you remember that guy ? Um ,   researcher at A T - andT a while back that was studying , trying to do speech recognition from these kinds of features. I can't remember what his name was. Dang. Now I 'll think of it. That 's interesting.

Well he was the guy  the guy that was using


Hmm ! There 's a bunch of data that l around , that  people have done studies like that w way way back right ? I mean  I can't remember where  uh Wisconsin or someplace that used to have a big database of  Yeah. I remember there was this guy at A T - andT , Randolph ? or r What was his name ? Do you remember that guy ? Um ,   researcher at A T - andT a while back that was studying , trying to do speech recognition from these kinds of features. I can't remember what his name was. Dang. Now I 'll think of it. That 's interesting.

Well he was the guy  the guy that was using

you mean when was  was Mark Randolph there , or  ?


Well he was the guy  the guy that was using

you mean when was  was Mark Randolph there , or  ?


Well he was the guy  the guy that was using

you mean when was  was Mark Randolph there , or  ?

Yeah he 's  he 's  he 's at Motorola now.


you mean when was  was Mark Randolph there , or  ?

Yeah he 's  he 's  he 's at Motorola now.


Yeah he 's  he 's  he 's at Motorola now.


Is it the guy that was using the pattern of pressure on the tongue or  ?


Is it the guy that was using the pattern of pressure on the tongue or  ?

I can't remember exactly what he was using , now. But I know  I just remember it had to do with you know  uh positional parameters


Is it the guy that was using the pattern of pressure on the tongue or  ?

I can't remember exactly what he was using , now. But I know  I just remember it had to do with you know  uh positional parameters

and trying to m you know do speech recognition based on them.


I can't remember exactly what he was using , now. But I know  I just remember it had to do with you know  uh positional parameters

and trying to m you know do speech recognition based on them.


and trying to m you know do speech recognition based on them.

Yeah. So the only  the only uh hesitation I had about it since , I mean I haven't see the data is it sounds like it 's  it 's  continuous variables and a bunch of them. And so


Yeah. So the only  the only uh hesitation I had about it since , I mean I haven't see the data is it sounds like it 's  it 's  continuous variables and a bunch of them. And so

I don't know how complicated it is to go from there  What you really want are these binary  labels , and just a few of them. And maybe there 's a trivial mapping if you wanna do it and it 's e but it  I  I  I worry a little bit that this is a research project in itself , whereas um  if you did something instead that  like um having some manual annotation by  uh you know , linguistics students , this would  there 'd be a limited s set of things that you could do a as per our discussions with  with John before


I don't know how complicated it is to go from there  What you really want are these binary  labels , and just a few of them. And maybe there 's a trivial mapping if you wanna do it and it 's e but it  I  I  I worry a little bit that this is a research project in itself , whereas um  if you did something instead that  like um having some manual annotation by  uh you know , linguistics students , this would  there 'd be a limited s set of things that you could do a as per our discussions with  with John before

but the things that you could do , like nasality and voicing and a couple other things you probably could do reasonably well.


but the things that you could do , like nasality and voicing and a couple other things you probably could do reasonably well.

And then there would  it would really be uh this uh uh binary variable. Course then , that 's the other question is do you want binary variables. So. I mean the other thing you could do is  boot trying to  to uh get those binary variables and take the continuous variables from  uh the uh  uh the data itself there , but I  I 'm not sure


but the things that you could do , like nasality and voicing and a couple other things you probably could do reasonably well.

And then there would  it would really be uh this uh uh binary variable. Course then , that 's the other question is do you want binary variables. So. I mean the other thing you could do is  boot trying to  to uh get those binary variables and take the continuous variables from  uh the uh  uh the data itself there , but I  I 'm not sure

Could you cluster the  just do some kind of clustering ?


And then there would  it would really be uh this uh uh binary variable. Course then , that 's the other question is do you want binary variables. So. I mean the other thing you could do is  boot trying to  to uh get those binary variables and take the continuous variables from  uh the uh  uh the data itself there , but I  I 'm not sure

Could you cluster the  just do some kind of clustering ?


And then there would  it would really be uh this uh uh binary variable. Course then , that 's the other question is do you want binary variables. So. I mean the other thing you could do is  boot trying to  to uh get those binary variables and take the continuous variables from  uh the uh  uh the data itself there , but I  I 'm not sure

Could you cluster the  just do some kind of clustering ?

Bin them up into different categories and


Could you cluster the  just do some kind of clustering ?

Bin them up into different categories and

Yeah. So anyway that 's  that 's uh  that 's another whole direction that cou could be looked at. Um.  Um.  I mean in general it 's gonna be  for new data that you look at , it 's gonna be hidden variable because we 're not gonna get everybody sitting in these meetings to  wear the pellets and  Um. So.


Bin them up into different categories and

Yeah. So anyway that 's  that 's uh  that 's another whole direction that cou could be looked at. Um.  Um.  I mean in general it 's gonna be  for new data that you look at , it 's gonna be hidden variable because we 're not gonna get everybody sitting in these meetings to  wear the pellets and  Um. So.


Bin them up into different categories and

Yeah. So anyway that 's  that 's uh  that 's another whole direction that cou could be looked at. Um.  Um.  I mean in general it 's gonna be  for new data that you look at , it 's gonna be hidden variable because we 're not gonna get everybody sitting in these meetings to  wear the pellets and  Um. So.

So you 're talking about using that data to get uh instead of using canonical mappings of phones.


Yeah. So anyway that 's  that 's uh  that 's another whole direction that cou could be looked at. Um.  Um.  I mean in general it 's gonna be  for new data that you look at , it 's gonna be hidden variable because we 're not gonna get everybody sitting in these meetings to  wear the pellets and  Um. So.

So you 're talking about using that data to get uh instead of using canonical mappings of phones.


So you 're talking about using that data to get uh instead of using canonical mappings of phones.

So you 'd use that data to give you sort of what the   the true mappings are for each phone ?


So you 'd use that data to give you sort of what the   the true mappings are for each phone ?


Yeah. So wh yeah , where this fits into the rest in  in my mind , I guess , is that um  we 're looking at different ways that we can combine  uh different kinds of  of rep front - end representations  um in order to get robustness under difficult or even , you know , typical conditions. And part of it , this robustness , seems to come from  uh multi - stream or multi - band sorts of things and Saul seems to have  a reasonable way of looking at it , at least for one    one um articulatory feature. The question is is can we learn from that  to change some of the other methods we have , since  I mean , one of the things that 's nice about what he had I thought was that  that it  it um  the decision about how strongly to train the different pieces is based on uh a  a reasonable criterion with hidden variables rather than  um just assuming  that you should train e e every detector uh with equal strength  towards uh it being this phone or that phone. Right ? So it  so um  he 's got these um uh uh


Yeah. So wh yeah , where this fits into the rest in  in my mind , I guess , is that um  we 're looking at different ways that we can combine  uh different kinds of  of rep front - end representations  um in order to get robustness under difficult or even , you know , typical conditions. And part of it , this robustness , seems to come from  uh multi - stream or multi - band sorts of things and Saul seems to have  a reasonable way of looking at it , at least for one    one um articulatory feature. The question is is can we learn from that  to change some of the other methods we have , since  I mean , one of the things that 's nice about what he had I thought was that  that it  it um  the decision about how strongly to train the different pieces is based on uh a  a reasonable criterion with hidden variables rather than  um just assuming  that you should train e e every detector uh with equal strength  towards uh it being this phone or that phone. Right ? So it  so um  he 's got these um uh uh

he " AND 's " between these different  features. It 's a soft " AND " , I guess but in  in principle  you  you wanna get a strong concurrence of all the different things that indicate something and then he " OR 's " across the different  soft " OR 's " across the different uh  multi - band channels. And um  the weight yeah , the target for the training of the " AND "  " AND ' ed " things  is something that 's kept  uh as a hidden variable , and is learned with EM. Whereas what we were doing is  is uh  taking  the phone target and then just back propagating from that


he " AND 's " between these different  features. It 's a soft " AND " , I guess but in  in principle  you  you wanna get a strong concurrence of all the different things that indicate something and then he " OR 's " across the different  soft " OR 's " across the different uh  multi - band channels. And um  the weight yeah , the target for the training of the " AND "  " AND ' ed " things  is something that 's kept  uh as a hidden variable , and is learned with EM. Whereas what we were doing is  is uh  taking  the phone target and then just back propagating from that

which means that it 's   it 's uh i It could be for instance  that for a particular point in the data  you don't want to um uh train a particular band  train the detectors for a particular band. You  you wanna ignore  that band , cuz that 's a  Ban - band is a noisy  noisy measure.


which means that it 's   it 's uh i It could be for instance  that for a particular point in the data  you don't want to um uh train a particular band  train the detectors for a particular band. You  you wanna ignore  that band , cuz that 's a  Ban - band is a noisy  noisy measure.

And we don't  We 're  we 're still gonna try to train it up. In our scheme we 're gonna try to train it up to do as well  well as it can at predicting. Uh. Maybe that 's not the right thing to do.


which means that it 's   it 's uh i It could be for instance  that for a particular point in the data  you don't want to um uh train a particular band  train the detectors for a particular band. You  you wanna ignore  that band , cuz that 's a  Ban - band is a noisy  noisy measure.

And we don't  We 're  we 're still gonna try to train it up. In our scheme we 're gonna try to train it up to do as well  well as it can at predicting. Uh. Maybe that 's not the right thing to do.

So he doesn't have to have truth marks or  Ho


And we don't  We 're  we 're still gonna try to train it up. In our scheme we 're gonna try to train it up to do as well  well as it can at predicting. Uh. Maybe that 's not the right thing to do.

So he doesn't have to have truth marks or  Ho

F right , and uh he doesn't have to have hard labels.


And we don't  We 're  we 're still gonna try to train it up. In our scheme we 're gonna try to train it up to do as well  well as it can at predicting. Uh. Maybe that 's not the right thing to do.

So he doesn't have to have truth marks or  Ho

F right , and uh he doesn't have to have hard labels.

Well at the  at the tail end , yeah , he has to know what 's  where it 's sonorant. But he 's  but what he 's - but what he 's not training up  uh what he doesn't depend on as truth is


So he doesn't have to have truth marks or  Ho

F right , and uh he doesn't have to have hard labels.

Well at the  at the tail end , yeah , he has to know what 's  where it 's sonorant. But he 's  but what he 's - but what he 's not training up  uh what he doesn't depend on as truth is


F right , and uh he doesn't have to have hard labels.

Well at the  at the tail end , yeah , he has to know what 's  where it 's sonorant. But he 's  but what he 's - but what he 's not training up  uh what he doesn't depend on as truth is

um I guess one way of describing would be if  if a sound is sonorant is it sonorant in this band ? Is it sonorant in that band ?


Well at the  at the tail end , yeah , he has to know what 's  where it 's sonorant. But he 's  but what he 's - but what he 's not training up  uh what he doesn't depend on as truth is

um I guess one way of describing would be if  if a sound is sonorant is it sonorant in this band ? Is it sonorant in that band ?


um I guess one way of describing would be if  if a sound is sonorant is it sonorant in this band ? Is it sonorant in that band ?

Is it sonorant in that band ? i It 's hard to even answer that what you really mean is that the whole sound is sonorant. So


Is it sonorant in that band ? i It 's hard to even answer that what you really mean is that the whole sound is sonorant. So

then it comes down to , you know , to what extent should you make use of information from particular band  towards making your decision. And um  uh we 're making in a sense sort of this hard decision that you should  you should use everything  uh with  with uh equal strength.


then it comes down to , you know , to what extent should you make use of information from particular band  towards making your decision. And um  uh we 're making in a sense sort of this hard decision that you should  you should use everything  uh with  with uh equal strength.

And uh because in the ideal case we would be going for posterior probabilities , if we had  uh enough data to really get posterior probabilities and if the  if we also had enough data so that it was representative of the test data then we would in fact be doing the right thing to train everything as hard as we can. But um this is something that 's more built up along an idea of robustness from  from the beginning and so you don't necessarily want to train everything up towards the


then it comes down to , you know , to what extent should you make use of information from particular band  towards making your decision. And um  uh we 're making in a sense sort of this hard decision that you should  you should use everything  uh with  with uh equal strength.

And uh because in the ideal case we would be going for posterior probabilities , if we had  uh enough data to really get posterior probabilities and if the  if we also had enough data so that it was representative of the test data then we would in fact be doing the right thing to train everything as hard as we can. But um this is something that 's more built up along an idea of robustness from  from the beginning and so you don't necessarily want to train everything up towards the

So where did he get his  uh his tar his uh high - level targets about what 's sonorant and what 's not ?


And uh because in the ideal case we would be going for posterior probabilities , if we had  uh enough data to really get posterior probabilities and if the  if we also had enough data so that it was representative of the test data then we would in fact be doing the right thing to train everything as hard as we can. But um this is something that 's more built up along an idea of robustness from  from the beginning and so you don't necessarily want to train everything up towards the

So where did he get his  uh his tar his uh high - level targets about what 's sonorant and what 's not ?


So where did he get his  uh his tar his uh high - level targets about what 's sonorant and what 's not ?


And then uh he does some fine tuning um for um special cases. Yeah.


And then uh he does some fine tuning um for um special cases. Yeah.

Yeah. I mean we ha we have a kind of  iterative training because we do this embedded Viterbi , uh so there is some something that 's suggested , based on the data but it 's  it 's not  I think it s doesn't seem like it 's quite the same , cuz of this  cuz then whatever  that alignment is , it 's that for all  all bands.


And then uh he does some fine tuning um for um special cases. Yeah.

Yeah. I mean we ha we have a kind of  iterative training because we do this embedded Viterbi , uh so there is some something that 's suggested , based on the data but it 's  it 's not  I think it s doesn't seem like it 's quite the same , cuz of this  cuz then whatever  that alignment is , it 's that for all  all bands.

Well no , that 's not quite right , we did actually do them separate  tried to do them separately so that would be a little more like what he did. Um. But it 's still  not quite the same because then it 's  it 's um setting targets based on where you would say  the sound begins in a particular band. Where he 's s this is not a labeling per se. Might be closer I guess if we did a  soft  soft target uh  uh embedded  neural net training like we 've done a few times uh  f the forward um  do the forward calculations to get the gammas and train on those. Mmm. Uh what 's next ?


Yeah. I mean we ha we have a kind of  iterative training because we do this embedded Viterbi , uh so there is some something that 's suggested , based on the data but it 's  it 's not  I think it s doesn't seem like it 's quite the same , cuz of this  cuz then whatever  that alignment is , it 's that for all  all bands.

Well no , that 's not quite right , we did actually do them separate  tried to do them separately so that would be a little more like what he did. Um. But it 's still  not quite the same because then it 's  it 's um setting targets based on where you would say  the sound begins in a particular band. Where he 's s this is not a labeling per se. Might be closer I guess if we did a  soft  soft target uh  uh embedded  neural net training like we 've done a few times uh  f the forward um  do the forward calculations to get the gammas and train on those. Mmm. Uh what 's next ?

I could say a little bit about w stuff I 've been playing with.


Well no , that 's not quite right , we did actually do them separate  tried to do them separately so that would be a little more like what he did. Um. But it 's still  not quite the same because then it 's  it 's um setting targets based on where you would say  the sound begins in a particular band. Where he 's s this is not a labeling per se. Might be closer I guess if we did a  soft  soft target uh  uh embedded  neural net training like we 've done a few times uh  f the forward um  do the forward calculations to get the gammas and train on those. Mmm. Uh what 's next ?

I could say a little bit about w stuff I 've been playing with.


I could say a little bit about w stuff I 've been playing with.


Yes , I 'm playing. Um  so I wanted to do this experiment to see um  uh what happens if we try to uh improve the performance of the back - end recognizer for the Aurora task and see how that affects things. And so I had this um  I think I sent around last week a   this plan I had for an experiment , this matrix where  I would take the um  the original um the original system. So there 's the original system trained on the mel cepstral features and then com and then uh optimize the b HTK system and run that again. So look at the difference there and then uh do the same thing for  the ICSI - OGI front - end.


Uh I 'm looking at the Italian right now.


Uh I 'm looking at the Italian right now.

So as far as I 've gotten is I 've uh  been able to go through from beginning to end the um full HTK  system for the Italian data and got the same results that um  that uh  Stephane had. So um I started looking  to  and now I 'm  I 'm sort of lookin at the point where I wanna know what should I change in the HTK back - end in order to try to  uh to improve it. So. One of the first things I thought of was the fact that they use  the same number of states for all of the models


So as far as I 've gotten is I 've uh  been able to go through from beginning to end the um full HTK  system for the Italian data and got the same results that um  that uh  Stephane had. So um I started looking  to  and now I 'm  I 'm sort of lookin at the point where I wanna know what should I change in the HTK back - end in order to try to  uh to improve it. So. One of the first things I thought of was the fact that they use  the same number of states for all of the models

and so I went on - line and I uh found a pronunciation dictionary for Italian digits