b May Mm - hmm. Oh , I 'm just  I 'm just , uh , transforming them from the , um , the standard TIMIT transcriptions into  into a nice long huge P - file to do training.

Mmm. Were the digits , um , hand - labeled for phones ?

Or were they  those labels automatically derived ?


Mmm. Were the digits , um , hand - labeled for phones ?

Or were they  those labels automatically derived ?

Oh yeah , those were  those were automatically derived by  by Dan using , um , embedded  embedded training and alignment.


Or were they  those labels automatically derived ?

Oh yeah , those were  those were automatically derived by  by Dan using , um , embedded  embedded training and alignment.


Oh yeah , those were  those were automatically derived by  by Dan using , um , embedded  embedded training and alignment.


I was just wondering because that test you 're t


I was just wondering because that test you 're t

I  I think you 're doing this test because you want to determine whether or not , uh , having s general speech performs as well as having specific  speech.


I  I think you 're doing this test because you want to determine whether or not , uh , having s general speech performs as well as having specific  speech.

Well , especially when you go over the different languages again , because you 'd  the different languages have different words for the different digits ,


Well , especially when you go over the different languages again , because you 'd  the different languages have different words for the different digits ,


Well , especially when you go over the different languages again , because you 'd  the different languages have different words for the different digits ,

yeah , so I was just wondering if the fact that TIMIT  you 're using the hand - labeled stuff from TIMIT might be  confuse the results that you get.


yeah , so I was just wondering if the fact that TIMIT  you 're using the hand - labeled stuff from TIMIT might be  confuse the results that you get.

I  I think it would , but  but on the other hand it might be better.


yeah , so I was just wondering if the fact that TIMIT  you 're using the hand - labeled stuff from TIMIT might be  confuse the results that you get.

I  I think it would , but  but on the other hand it might be better.

Right , but if it 's better , it may be better because  it was hand - labeled.


yeah , so I was just wondering if the fact that TIMIT  you 're using the hand - labeled stuff from TIMIT might be  confuse the results that you get.

I  I think it would , but  but on the other hand it might be better.

Right , but if it 's better , it may be better because  it was hand - labeled.

Oh yeah , but still @ @ probably use it.


I  I think it would , but  but on the other hand it might be better.

Right , but if it 's better , it may be better because  it was hand - labeled.

Oh yeah , but still @ @ probably use it.


Right , but if it 's better , it may be better because  it was hand - labeled.

Oh yeah , but still @ @ probably use it.

I mean , you know , I  I  I guess I 'm sounding cavalier , but I mean , I think the point is you have , uh , a bunch of labels and  and they 're han hand uh  hand - marked. Uh , I guess , actually , TIMIT was not entirely hand - marked. It was automatically first , and then hand  hand - corrected.


Oh yeah , but still @ @ probably use it.

I mean , you know , I  I  I guess I 'm sounding cavalier , but I mean , I think the point is you have , uh , a bunch of labels and  and they 're han hand uh  hand - marked. Uh , I guess , actually , TIMIT was not entirely hand - marked. It was automatically first , and then hand  hand - corrected.


I mean , you know , I  I  I guess I 'm sounding cavalier , but I mean , I think the point is you have , uh , a bunch of labels and  and they 're han hand uh  hand - marked. Uh , I guess , actually , TIMIT was not entirely hand - marked. It was automatically first , and then hand  hand - corrected.

But  but , um , uh , it  it , um , it might be a better source. So , i it 's  you 're right. It would be another interesting scientific question to ask , " Is it because it 's a broad source or because it was , you know , carefully ? "


But  but , um , uh , it  it , um , it might be a better source. So , i it 's  you 're right. It would be another interesting scientific question to ask , " Is it because it 's a broad source or because it was , you know , carefully ? "

uh. And that 's something you could ask , but given limited time , I think the main thing is if it 's a better thing for going across languages on this training tandem system ,


uh. And that 's something you could ask , but given limited time , I think the main thing is if it 's a better thing for going across languages on this training tandem system ,


uh. And that 's something you could ask , but given limited time , I think the main thing is if it 's a better thing for going across languages on this training tandem system ,

What about the differences in the phone sets ?


What about the differences in the phone sets ?


What about the differences in the phone sets ?

Oh , um , right. Well , there 's a mapping from the sixty - one phonemes in TIMIT to  to fifty - six , the ICSI fifty - six.


Oh , um , right. Well , there 's a mapping from the sixty - one phonemes in TIMIT to  to fifty - six , the ICSI fifty - six.


Oh , um , right. Well , there 's a mapping from the sixty - one phonemes in TIMIT to  to fifty - six , the ICSI fifty - six.

And then the digits phonemes , um , there 's about twenty twenty - two or twenty - four of them ? Is that right ?


And then the digits phonemes , um , there 's about twenty twenty - two or twenty - four of them ? Is that right ?


Yeah. So , it 's  it 's definitely broader , yeah.


Yeah. So , it 's  it 's definitely broader , yeah.

But , actually , the issue of phoneti phon uh phone phoneme mappings will arise when we will do severa use several languages


Yeah. So , it 's  it 's definitely broader , yeah.

But , actually , the issue of phoneti phon uh phone phoneme mappings will arise when we will do severa use several languages

because you  Well , some phonemes are not , uh , in every languages , and  So we plan to develop a subset of the phonemes , uh , that includes , uh , all the phonemes of our training languages ,


But , actually , the issue of phoneti phon uh phone phoneme mappings will arise when we will do severa use several languages

because you  Well , some phonemes are not , uh , in every languages , and  So we plan to develop a subset of the phonemes , uh , that includes , uh , all the phonemes of our training languages ,


because you  Well , some phonemes are not , uh , in every languages , and  So we plan to develop a subset of the phonemes , uh , that includes , uh , all the phonemes of our training languages ,

and use a network with kind of one hundred outputs or something like that.


because you  Well , some phonemes are not , uh , in every languages , and  So we plan to develop a subset of the phonemes , uh , that includes , uh , all the phonemes of our training languages ,

and use a network with kind of one hundred outputs or something like that.

Mm - hmm. You mean a superset , sort of.


and use a network with kind of one hundred outputs or something like that.

Mm - hmm. You mean a superset , sort of.


Mm - hmm. You mean a superset , sort of.


Yeah. I th I looks the SAMPA SAMPA phone.


Yeah. I th I looks the SAMPA SAMPA phone.

SAMPA phone ? For English  uh American English , and the  the  the language who have more phone are the English.


SAMPA phone ? For English  uh American English , and the  the  the language who have more phone are the English.


SAMPA phone ? For English  uh American English , and the  the  the language who have more phone are the English.

Of the  these language. But n for example , in Spain , the Spanish have several phone that d doesn't appear in the E English and we thought to complete. But for that , it needs  we must r h do a lot of work  because we need to generate new tran transcription for the database that we have.


Of the  these language. But n for example , in Spain , the Spanish have several phone that d doesn't appear in the E English and we thought to complete. But for that , it needs  we must r h do a lot of work  because we need to generate new tran transcription for the database that we have.


Of the  these language. But n for example , in Spain , the Spanish have several phone that d doesn't appear in the E English and we thought to complete. But for that , it needs  we must r h do a lot of work  because we need to generate new tran transcription for the database that we have.

Other than the language , is there a reason not to use the TIMIT phone set ? Cuz it 's larger ? As opposed to the ICSI  phone set ?


Of the  these language. But n for example , in Spain , the Spanish have several phone that d doesn't appear in the E English and we thought to complete. But for that , it needs  we must r h do a lot of work  because we need to generate new tran transcription for the database that we have.

Other than the language , is there a reason not to use the TIMIT phone set ? Cuz it 's larger ? As opposed to the ICSI  phone set ?

Oh , you mean why map the sixty - one to the fifty - six ?


Other than the language , is there a reason not to use the TIMIT phone set ? Cuz it 's larger ? As opposed to the ICSI  phone set ?

Oh , you mean why map the sixty - one to the fifty - six ?


Oh , you mean why map the sixty - one to the fifty - six ?

Um , I forget if that happened starting with you , or was it  o or if it was Eric , afterwards who did that. But I think , basically , there were several of the phones that were just hardly ever there.


Um , I forget if that happened starting with you , or was it  o or if it was Eric , afterwards who did that. But I think , basically , there were several of the phones that were just hardly ever there.

Yeah , and I think some of them , they were making distinctions between silence at the end and silence at the beginning , when really they 're  both silence.


Um , I forget if that happened starting with you , or was it  o or if it was Eric , afterwards who did that. But I think , basically , there were several of the phones that were just hardly ever there.

Yeah , and I think some of them , they were making distinctions between silence at the end and silence at the beginning , when really they 're  both silence.

I th I think it was things like that that got it mapped down to fifty - six.


Yeah , and I think some of them , they were making distinctions between silence at the end and silence at the beginning , when really they 're  both silence.

I th I think it was things like that that got it mapped down to fifty - six.


I th I think it was things like that that got it mapped down to fifty - six.

Yeah , especially in a system like ours , which is a discriminative system. You know , you 're really asking this net to learn.


Yeah , especially in a system like ours , which is a discriminative system. You know , you 're really asking this net to learn.


There 's not much difference , really. And  the ones that are gone , I think are  I think there was  they also in TIMIT had like a glottal stop , which was basically a short period of silence ,


i It 's actually pretty common that a lot of the recognition systems people use have things like  like , say thirty - nine , phone symbols , right ? Uh , and then they get the variety by  by bringing in the context , the phonetic context. Uh. So we actually have an unusually large number in  in what we tend to use here. Um. So , a a actually  maybe  now you 've got me sort of intrigued. What  there 's  Can you describe what  what 's on the cube ?


i It 's actually pretty common that a lot of the recognition systems people use have things like  like , say thirty - nine , phone symbols , right ? Uh , and then they get the variety by  by bringing in the context , the phonetic context. Uh. So we actually have an unusually large number in  in what we tend to use here. Um. So , a a actually  maybe  now you 've got me sort of intrigued. What  there 's  Can you describe what  what 's on the cube ?

Yeah , w I th I think that 's a good idea


Yeah , w I th I think that 's a good idea


and maybe we could sections in the cube for people to work on.


and maybe we could sections in the cube for people to work on.

OK , so even  even though the meeting recorder doesn't  doesn't , uh  and since you 're not running a video camera we won't get this , but if you use a board it 'll help us anyway.


OK , so even  even though the meeting recorder doesn't  doesn't , uh  and since you 're not running a video camera we won't get this , but if you use a board it 'll help us anyway.


OK , so even  even though the meeting recorder doesn't  doesn't , uh  and since you 're not running a video camera we won't get this , but if you use a board it 'll help us anyway.

Uh , point out one of the limitations of this  medium ,


Uh , point out one of the limitations of this  medium ,


OK. Can y can you walk around too ? No. OK , well , um ,


OK. Can y can you walk around too ? No. OK , well , um ,

s basically , the  the cube will have three dimensions.


s basically , the  the cube will have three dimensions.

The first dimension is the  the features that we 're going to use. And the second dimension , um , is the training corpus. And that 's the training on the discriminant neural net. Um and the last dimension happens to be


s basically , the  the cube will have three dimensions.

The first dimension is the  the features that we 're going to use. And the second dimension , um , is the training corpus. And that 's the training on the discriminant neural net. Um and the last dimension happens to be

Yeah and again  Yeah. So the  the training for HTK is always  that 's always set up for the individual test , right ? That there 's some training data and some test data. So that 's different than this.


The first dimension is the  the features that we 're going to use. And the second dimension , um , is the training corpus. And that 's the training on the discriminant neural net. Um and the last dimension happens to be

Yeah and again  Yeah. So the  the training for HTK is always  that 's always set up for the individual test , right ? That there 's some training data and some test data. So that 's different than this.

Right , right. This is  this is for  for ANN only. And , yeah , the training for the HTK models is always , uh , fixed for whatever language you 're testing on.


Yeah and again  Yeah. So the  the training for HTK is always  that 's always set up for the individual test , right ? That there 's some training data and some test data. So that 's different than this.

Right , right. This is  this is for  for ANN only. And , yeah , the training for the HTK models is always , uh , fixed for whatever language you 're testing on.

And then , there 's the testing corpus. So , then I think it 's probably instructive to go and  and  and show you the features that we were talking about. Um , so , let 's see. Help me out with


Right , right. This is  this is for  for ANN only. And , yeah , the training for the HTK models is always , uh , fixed for whatever language you 're testing on.

And then , there 's the testing corpus. So , then I think it 's probably instructive to go and  and  and show you the features that we were talking about. Um , so , let 's see. Help me out with


And then , there 's the testing corpus. So , then I think it 's probably instructive to go and  and  and show you the features that we were talking about. Um , so , let 's see. Help me out with


So there would be multi - band before , um  before our network , I mean.


So there would be multi - band before , um  before our network , I mean.

Yeah , just the multi - band features , right ?


Yeah , just the multi - band features , right ?


So , something like , uh , s TCT within bands and  Well. And then multi - band after networks. Meaning that we would have , uh , neural networks , uh , discriminant neural networks for each band. Uh , yeah. And using the  the outputs of these networks or the linear outputs or something like that. Uh , yeah.


So , something like , uh , s TCT within bands and  Well. And then multi - band after networks. Meaning that we would have , uh , neural networks , uh , discriminant neural networks for each band. Uh , yeah. And using the  the outputs of these networks or the linear outputs or something like that. Uh , yeah.

you don't include that because it 's part of the base or something ?


you don't include that because it 's part of the base or something ?


you don't include that because it 's part of the base or something ?

Well , y you do have a baseline system that 's m that 's mel cepstra ,


Well , y you do have a baseline system that 's m that 's mel cepstra ,


But , uh , well , not for the  the ANN. I mean


But , uh , well , not for the  the ANN. I mean

So , yeah , we could  we could add  MFCC also.


So , yeah , we could  we could add  MFCC also.

Probably should. I mean at least  at least conceptually , you know , it doesn't meant you actually have to do it ,


Probably should. I mean at least  at least conceptually , you know , it doesn't meant you actually have to do it ,


Probably should. I mean at least  at least conceptually , you know , it doesn't meant you actually have to do it ,

but conceptually it makes sense as a  as a base line.


but conceptually it makes sense as a  as a base line.

It 'd be an interesting test just to have  just to do MFCC with the neural net


It 'd be an interesting test just to have  just to do MFCC with the neural net


Compare that with just M - MFCC without the  the net.


Um , in his previous Aurora experiments. And with the net it 's  it 's wonderful. Without the net it 's just baseline.


Um , in his previous Aurora experiments. And with the net it 's  it 's wonderful. Without the net it 's just baseline.

Um , I think OGI folks have been doing that , too. D Because I think that for a bunch of their experiments they used , uh , mel cepstra , actually.


Um , in his previous Aurora experiments. And with the net it 's  it 's wonderful. Without the net it 's just baseline.

Um , I think OGI folks have been doing that , too. D Because I think that for a bunch of their experiments they used , uh , mel cepstra , actually.

Um , of course that 's there and this is here and so on. OK ?


Um , I think OGI folks have been doing that , too. D Because I think that for a bunch of their experiments they used , uh , mel cepstra , actually.

Um , of course that 's there and this is here and so on. OK ?

OK. Um , for the training corpus  corpus , um , we have , um , the  the d  digits  from the various languages. Um , English Spanish um , French What else do we have ?


Um , of course that 's there and this is here and so on. OK ?

OK. Um , for the training corpus  corpus , um , we have , um , the  the d  digits  from the various languages. Um , English Spanish um , French What else do we have ?


OK. Um , for the training corpus  corpus , um , we have , um , the  the d  digits  from the various languages. Um , English Spanish um , French What else do we have ?


Is that  Was that distributed with Aurora , or  ?


So English , uh , Finnish and Italian are Aurora.


So English , uh , Finnish and Italian are Aurora.

And Spanish and French is something that we can use in addition to Aurora. Uh , well.


So English , uh , Finnish and Italian are Aurora.

And Spanish and French is something that we can use in addition to Aurora. Uh , well.

Yeah , so Carmen brought the Spanish , and Stephane brought the French.


And Spanish and French is something that we can use in addition to Aurora. Uh , well.

Yeah , so Carmen brought the Spanish , and Stephane brought the French.


And Spanish and French is something that we can use in addition to Aurora. Uh , well.

Yeah , so Carmen brought the Spanish , and Stephane brought the French.

Is it French French or Belgian French ? There 's a


Yeah , so Carmen brought the Spanish , and Stephane brought the French.

Is it French French or Belgian French ? There 's a


Is it French French or Belgian French ? There 's a


Yeah. Yeah , Herve always insists that Belgian is  i is absolutely pure French , has nothing to do with  but he says those  those  those Parisians talk funny.


Yeah. Yeah , Herve always insists that Belgian is  i is absolutely pure French , has nothing to do with  but he says those  those  those Parisians talk funny.

Yeah , yeah , yeah. They have an accent.


Yeah. Yeah , Herve always insists that Belgian is  i is absolutely pure French , has nothing to do with  but he says those  those  those Parisians talk funny.

Yeah , yeah , yeah. They have an accent.

Yeah they  they do , yeah. Yeah.  But then he likes Belgian fries too , so. OK.


Yeah. Yeah , Herve always insists that Belgian is  i is absolutely pure French , has nothing to do with  but he says those  those  those Parisians talk funny.

Yeah , yeah , yeah. They have an accent.

Yeah they  they do , yeah. Yeah.  But then he likes Belgian fries too , so. OK.

And then we have , uh , um , broader  broader corpus , um , like TIMIT. TIMIT so far ,


Yeah , yeah , yeah. They have an accent.

Yeah they  they do , yeah. Yeah.  But then he likes Belgian fries too , so. OK.

And then we have , uh , um , broader  broader corpus , um , like TIMIT. TIMIT so far ,


Yeah they  they do , yeah. Yeah.  But then he likes Belgian fries too , so. OK.

And then we have , uh , um , broader  broader corpus , um , like TIMIT. TIMIT so far ,


And then we have , uh , um , broader  broader corpus , um , like TIMIT. TIMIT so far ,


Um , TI - digits  uh all these Aurora f d data p data is from  is derived from TI - digits.


Um , TI - digits  uh all these Aurora f d data p data is from  is derived from TI - digits.

Um , basically , they  they corrupted it with , uh , different kinds of noises at different SNR levels.


Um , basically , they  they corrupted it with , uh , different kinds of noises at different SNR levels.


Um , basically , they  they corrupted it with , uh , different kinds of noises at different SNR levels.

y And I think Stephane was saying there 's  there 's some broader s material in the French also ?


y And I think Stephane was saying there 's  there 's some broader s material in the French also ?


Did the Aurora people actually corrupt it themselves , or just specify the signal and the signal - t


Did the Aurora people actually corrupt it themselves , or just specify the signal and the signal - t

They  they corrupted it , um , themselves ,


Did the Aurora people actually corrupt it themselves , or just specify the signal and the signal - t

They  they corrupted it , um , themselves ,

but they also included the  the noise files for us , right ? Or


They  they corrupted it , um , themselves ,

but they also included the  the noise files for us , right ? Or


but they also included the  the noise files for us , right ? Or

so we can go ahead and corrupt other things.


but they also included the  the noise files for us , right ? Or

so we can go ahead and corrupt other things.

I 'm just curious , Carmen  I mean , I couldn't tell if you were joking or  i Is it  is it Mexican Spanish ,


so we can go ahead and corrupt other things.

I 'm just curious , Carmen  I mean , I couldn't tell if you were joking or  i Is it  is it Mexican Spanish ,


I 'm just curious , Carmen  I mean , I couldn't tell if you were joking or  i Is it  is it Mexican Spanish ,


Oh , no , no. It 's  it 's Spanish from Spain , Spanish.


Alright. Spanish from Spain. Yeah , we 're really covered there now. OK.


Alright. Spanish from Spain. Yeah , we 're really covered there now. OK.

Yeah , the  No , the French is f yeah , from , uh , Paris ,


Yeah , the  No , the French is f yeah , from , uh , Paris ,


Yeah , the  No , the French is f yeah , from , uh , Paris ,

And TIMIT 's from  lots of different places.


And TIMIT 's from  lots of different places.


And TIMIT 's from  lots of different places.

From TI. From  i It 's from Texas. So may maybe it 's


From TI. From  i It 's from Texas. So may maybe it 's

So - s so it 's not really from the US either.


So - s so it 's not really from the US either.


So - s so it 's not really from the US either.

Yeah. OK. And , um , with within the training corporas um , we 're , uh , thinking about , um , training with noise. So , incorporating the same kinds of noises that , um , Aurora is in incorporating in their , um  in their training corpus. Um , I don't think we we 're given the , uh  the unseen noise conditions , though , right ?


Yeah. OK. And , um , with within the training corporas um , we 're , uh , thinking about , um , training with noise. So , incorporating the same kinds of noises that , um , Aurora is in incorporating in their , um  in their training corpus. Um , I don't think we we 're given the , uh  the unseen noise conditions , though , right ?

I think what they were saying was that , um , for this next test there 's gonna be some of the cases where they have the same type of noise as you were given before hand and some cases where you 're not.


I think what they were saying was that , um , for this next test there 's gonna be some of the cases where they have the same type of noise as you were given before hand and some cases where you 're not.

So , presumably , that 'll be part of the topic of analysis of the  the test results , is how well you do when it 's matching noise and how well you do where it 's not.


So , presumably , that 'll be part of the topic of analysis of the  the test results , is how well you do when it 's matching noise and how well you do where it 's not.


So , presumably , that 'll be part of the topic of analysis of the  the test results , is how well you do when it 's matching noise and how well you do where it 's not.

So , I guess we can't train on  on the  the unseen noise conditions.


So , I guess we can't train on  on the  the unseen noise conditions.


OK. I mean , i i i i it does seem to me that a lot of times when you train with something that 's at least a little bit noisy it can  it can help you out in other kinds of noise even if it 's not matching just because there 's some more variance that you 've built into things. But , but , uh ,


OK. I mean , i i i i it does seem to me that a lot of times when you train with something that 's at least a little bit noisy it can  it can help you out in other kinds of noise even if it 's not matching just because there 's some more variance that you 've built into things. But , but , uh ,

uh , exactly how well it will work will depend on how near it is to what you had ahead of time. So. OK , so that 's your training corpus ,


uh , exactly how well it will work will depend on how near it is to what you had ahead of time. So. OK , so that 's your training corpus ,


uh , exactly how well it will work will depend on how near it is to what you had ahead of time. So. OK , so that 's your training corpus ,

Um , the testing corporas are , um , just , um , the same ones as Aurora testing. And , that includes , um , the English Spa - um , Italian. Finnish.


Um , the testing corporas are , um , just , um , the same ones as Aurora testing. And , that includes , um , the English Spa - um , Italian. Finnish.


Um , the testing corporas are , um , just , um , the same ones as Aurora testing. And , that includes , um , the English Spa - um , Italian. Finnish.

Uh , we ' r we 're gonna get German , right ? Ge -  At the final test will have German.


Um , the testing corporas are , um , just , um , the same ones as Aurora testing. And , that includes , um , the English Spa - um , Italian. Finnish.

Uh , we ' r we 're gonna get German , right ? Ge -  At the final test will have German.

Well , so , yeah , the final test , on a guess , is supposed to be German and Danish ,


Uh , we ' r we 're gonna get German , right ? Ge -  At the final test will have German.

Well , so , yeah , the final test , on a guess , is supposed to be German and Danish ,


Well , so , yeah , the final test , on a guess , is supposed to be German and Danish ,


Spanish. Oh yeah , we can  we can test on s Spanish.


Spanish. Oh yeah , we can  we can test on s Spanish.

we will have. Yeah. But the  the Aurora Spanish , I mean.


Spanish. Oh yeah , we can  we can test on s Spanish.

we will have. Yeah. But the  the Aurora Spanish , I mean.

Oh , there 's a  there 's Spanish testing in the Aurora ?


we will have. Yeah. But the  the Aurora Spanish , I mean.

Oh , there 's a  there 's Spanish testing in the Aurora ?


Oh , there 's a  there 's Spanish testing in the Aurora ?


and , well , according to Hynek it will be  we will have this at the end of November , or  Um.


and , well , according to Hynek it will be  we will have this at the end of November , or  Um.

OK , so , uh , something like seven things in each , uh  each column.


and , well , according to Hynek it will be  we will have this at the end of November , or  Um.

OK , so , uh , something like seven things in each , uh  each column.

So that 's , uh , three hundred and forty - three , uh ,  different systems that are going to be developed. There 's three of you.


OK , so , uh , something like seven things in each , uh  each column.

So that 's , uh , three hundred and forty - three , uh ,  different systems that are going to be developed. There 's three of you.


So that 's , uh , three hundred and forty - three , uh ,  different systems that are going to be developed. There 's three of you.

Uh , so that 's hundred and   hundred and fourteen each.


Uh , so that 's hundred and   hundred and fourteen each.


Uh , so that 's hundred and   hundred and fourteen each.

w Don't we need to put in the column for noise conditions ?


w Don't we need to put in the column for noise conditions ?


w Don't we need to put in the column for noise conditions ?

Well , th uh , when  when I put these testings on there , I 'm assumi


Well , th uh , when  when I put these testings on there , I 'm assumi


Well , th uh , when  when I put these testings on there , I 'm assumi

There - there 's three  three tests. Um , type - A , type - B , and type - C. And they 're all  they 're all gonna be test tested , um , with one training of the HTK system. Um , there 's a script that tests all three different types of noise conditions. Test - A is like a matched noise. Test - B is a  is a slightly mismatched. And test - C is a , um , mismatched channel.


Well , th uh , when  when I put these testings on there , I 'm assumi

There - there 's three  three tests. Um , type - A , type - B , and type - C. And they 're all  they 're all gonna be test tested , um , with one training of the HTK system. Um , there 's a script that tests all three different types of noise conditions. Test - A is like a matched noise. Test - B is a  is a slightly mismatched. And test - C is a , um , mismatched channel.

And do we do all our  training on clean data ?


There - there 's three  three tests. Um , type - A , type - B , and type - C. And they 're all  they 're all gonna be test tested , um , with one training of the HTK system. Um , there 's a script that tests all three different types of noise conditions. Test - A is like a matched noise. Test - B is a  is a slightly mismatched. And test - C is a , um , mismatched channel.

And do we do all our  training on clean data ?


And do we do all our  training on clean data ?

we 're  we 're gonna be , um , training on the noise files that we do have.


we 're  we 're gonna be , um , training on the noise files that we do have.


we 're  we 're gonna be , um , training on the noise files that we do have.

So , um  Yeah , so I guess the question is how long does it take to do a  a training ? I mean , it 's not totally crazy t I mean , these are  a lot of these are built - in things and we know  we have programs that compute PLP , we have MSG , we have JRA you know , a lot of these things will just kind of happen , won't take uh a huge amount of development , it 's just trying it out. So , we actually can do quite a few experiments.


So , um  Yeah , so I guess the question is how long does it take to do a  a training ? I mean , it 's not totally crazy t I mean , these are  a lot of these are built - in things and we know  we have programs that compute PLP , we have MSG , we have JRA you know , a lot of these things will just kind of happen , won't take uh a huge amount of development , it 's just trying it out. So , we actually can do quite a few experiments.

But how  how long does it take , do we think , for one of these   trainings ?


But how  how long does it take , do we think , for one of these   trainings ?


But how  how long does it take , do we think , for one of these   trainings ?

Oh yeah , that 's right. I mean , cuz , so , for instance , I think the major advantage of MSG


Oh yeah , that 's right. I mean , cuz , so , for instance , I think the major advantage of MSG


good point. A major advantage of MSG , I see , th that we 've seen in the past is combined with PLP.


good point. A major advantage of MSG , I see , th that we 've seen in the past is combined with PLP.

Now , this is turning into a four - dimensional cube ?


Now , this is turning into a four - dimensional cube ?

Well , you just select multiple things on the one dimension.


Well , you just select multiple things on the one dimension.


Yeah , so , I mean , you don't wanna , uh  Let 's see , seven choose two would    be , uh , twenty - one different combinations. Um.


Yeah , so , I mean , you don't wanna , uh  Let 's see , seven choose two would    be , uh , twenty - one different combinations. Um.

It 's not a complete set of combinations , though ,


Yeah , so , I mean , you don't wanna , uh  Let 's see , seven choose two would    be , uh , twenty - one different combinations. Um.

right ? It 's not a complete set of combinations , though ,


right ? It 's not a complete set of combinations , though ,


Uh , yeah , so PLP and MSG I think we definitely wanna try cuz we 've had a lot of good experience with putting those together.


Uh , yeah , so PLP and MSG I think we definitely wanna try cuz we 've had a lot of good experience with putting those together.

When you do that , you 're increasing the size of the inputs to the net. Do you have to reduce the hidden layer , or something ?


When you do that , you 're increasing the size of the inputs to the net. Do you have to reduce the hidden layer , or something ?

Well , so  I mean , so i it doesn't increase the number of trainings.


When you do that , you 're increasing the size of the inputs to the net. Do you have to reduce the hidden layer , or something ?

Well , so  I mean , so i it doesn't increase the number of trainings.

No , no , I 'm  I 'm just wondering about number of parameters in the net. Do you have to worry about keeping that the same , or  ?


Well , so  I mean , so i it doesn't increase the number of trainings.

No , no , I 'm  I 'm just wondering about number of parameters in the net. Do you have to worry about keeping that the same , or  ?

There 's a computation limit , though , isn't there ?


No , no , I 'm  I 'm just wondering about number of parameters in the net. Do you have to worry about keeping that the same , or  ?

There 's a computation limit , though , isn't there ?

Yeah , I mean , it 's just more compu Excuse me ?


There 's a computation limit , though , isn't there ?

Yeah , I mean , it 's just more compu Excuse me ?

Isn't there like a limit  on the computation load , or d latency , or something like that for Aurora task ?


There 's a computation limit , though , isn't there ?

Yeah , I mean , it 's just more compu Excuse me ?

Isn't there like a limit  on the computation load , or d latency , or something like that for Aurora task ?

Oh yeah , we haven't talked about any of that at all , have we ?


Yeah , I mean , it 's just more compu Excuse me ?

Isn't there like a limit  on the computation load , or d latency , or something like that for Aurora task ?

Oh yeah , we haven't talked about any of that at all , have we ?


Isn't there like a limit  on the computation load , or d latency , or something like that for Aurora task ?

Oh yeah , we haven't talked about any of that at all , have we ?

Yeah , so , there 's not really a limit. What it is is that there 's  there 's , uh  it 's just penalty , you know ? That  that if you 're using , uh , a megabyte , then they 'll say that 's very nice , but , of course , it will never go on a cheap cell phone.


Oh yeah , we haven't talked about any of that at all , have we ?

Yeah , so , there 's not really a limit. What it is is that there 's  there 's , uh  it 's just penalty , you know ? That  that if you 're using , uh , a megabyte , then they 'll say that 's very nice , but , of course , it will never go on a cheap cell phone.


Yeah , so , there 's not really a limit. What it is is that there 's  there 's , uh  it 's just penalty , you know ? That  that if you 're using , uh , a megabyte , then they 'll say that 's very nice , but , of course , it will never go on a cheap cell phone.

Um. And , u uh , I think the computation isn't so much of a problem. I think it 's more the memory. Uh , and , expensive cell phones , exa expensive hand - helds , and so forth , are gonna have lots of memory. So it 's just that , uh , these people see the  the cheap cell phones as being still the biggest market , so.


Um. And , u uh , I think the computation isn't so much of a problem. I think it 's more the memory. Uh , and , expensive cell phones , exa expensive hand - helds , and so forth , are gonna have lots of memory. So it 's just that , uh , these people see the  the cheap cell phones as being still the biggest market , so.

Um. But , yeah , I was just realizing that , actually , it doesn't explode out , um  It 's not really two to the seventh. But it 's  but  but  i i it doesn't really explode out the number of trainings cuz these were all trained individually. Right ? So , uh , if you have all of these nets trained some place , then , uh , you can combine their outputs and do the KL transformation and so forth


Um. But , yeah , I was just realizing that , actually , it doesn't explode out , um  It 's not really two to the seventh. But it 's  but  but  i i it doesn't really explode out the number of trainings cuz these were all trained individually. Right ? So , uh , if you have all of these nets trained some place , then , uh , you can combine their outputs and do the KL transformation and so forth

and  and , uh  So , what it  it blows out is the number of uh testings. And , you know  and the number of times you do that last part. But that last part , I think , is so  has gotta be pretty quick , so. Uh. Right ? I mean , it 's just running the data through


and  and , uh  So , what it  it blows out is the number of uh testings. And , you know  and the number of times you do that last part. But that last part , I think , is so  has gotta be pretty quick , so. Uh. Right ? I mean , it 's just running the data through

But wh what about a net that 's trained on multiple languages , though ?


and  and , uh  So , what it  it blows out is the number of uh testings. And , you know  and the number of times you do that last part. But that last part , I think , is so  has gotta be pretty quick , so. Uh. Right ? I mean , it 's just running the data through

But wh what about a net that 's trained on multiple languages , though ?

Well , you gotta do the KL transformation ,


But wh what about a net that 's trained on multiple languages , though ?

Well , you gotta do the KL transformation ,


Well , you gotta do the KL transformation ,

Is that just separate nets for each language then combined , or is that actually one net trained on ?


Is that just separate nets for each language then combined , or is that actually one net trained on ?


but we 've  I don't think we 've tested that. Right ?


but we 've  I don't think we 've tested that. Right ?

So , in the broader training corpus we can  we can use , uh , the three , or , a combination of  of two  two languages.


So , in the broader training corpus we can  we can use , uh , the three , or , a combination of  of two  two languages.


Yeah , so , I guess the first thing is if w if we know how much a  how long a  a training takes , if we can train up all these  these combinations , uh , then we can start working on testing of them individually , and in combination. Right ?


Yeah , so , I guess the first thing is if w if we know how much a  how long a  a training takes , if we can train up all these  these combinations , uh , then we can start working on testing of them individually , and in combination. Right ?

Because the putting them in combination , I think , is not as much computationally as the r training of the nets in the first place. Right ?


Because the putting them in combination , I think , is not as much computationally as the r training of the nets in the first place. Right ?

So y you do have to compute the KL transformation. Uh , which is a little bit , but it 's not too much.


So y you do have to compute the KL transformation. Uh , which is a little bit , but it 's not too much.


But  Yeah. But there is the testing also , which implies training , uh , the HTK models


Right. So if you do have lots of combinations , it 's


Right. So if you do have lots of combinations , it 's

yeah. But it 's  it 's  it 's not so long. It @ @  Yeah.


Right. So if you do have lots of combinations , it 's

yeah. But it 's  it 's  it 's not so long. It @ @  Yeah.

How long does it take for an , uh , HTK training ?


yeah. But it 's  it 's  it 's not so long. It @ @  Yeah.

How long does it take for an , uh , HTK training ?


How long does it take for an , uh , HTK training ?


No , I 'm sorry , ru running on what machine ?


No , I 'm sorry , ru running on what machine ?

Uh , I don't know what Ravioli is. Is it  is it an Ultra - five , or is it a  ?


Uh , I don't know what Ravioli is. Is it  is it an Ultra - five , or is it a  ?


Yeah , I I think it 's - it 's - it 's not so long because , well , the TI - digits test data is about , uh how many hours ? Uh , th uh , thirty hours of speech , I think ,


so , I mean , clearly , there  there 's no way we can even begin to do an any significant amount here unless we use multiple machines.


so , I mean , clearly , there  there 's no way we can even begin to do an any significant amount here unless we use multiple machines.

Right ? So  so  w we  I mean there 's plenty of machines here and they 're n they 're often not in  in a great  great deal of use. So , I mean , I think it 's  it 's key that  that the  that you look at , uh , you know , what machines are fast , what machines are used a lot  Uh , are we still using P - make ? Is that  ?


so , I mean , clearly , there  there 's no way we can even begin to do an any significant amount here unless we use multiple machines.

Right ? So  so  w we  I mean there 's plenty of machines here and they 're n they 're often not in  in a great  great deal of use. So , I mean , I think it 's  it 's key that  that the  that you look at , uh , you know , what machines are fast , what machines are used a lot  Uh , are we still using P - make ? Is that  ?

Oh , I don't know how w how we would P - make this , though. Um.


Right ? So  so  w we  I mean there 's plenty of machines here and they 're n they 're often not in  in a great  great deal of use. So , I mean , I think it 's  it 's key that  that the  that you look at , uh , you know , what machines are fast , what machines are used a lot  Uh , are we still using P - make ? Is that  ?

Oh , I don't know how w how we would P - make this , though. Um.

Well , you have a  I mean , once you get the basic thing set up , you have just all the  uh , a all these combinations ,


Oh , I don't know how w how we would P - make this , though. Um.

Well , you have a  I mean , once you get the basic thing set up , you have just all the  uh , a all these combinations ,


Well , you have a  I mean , once you get the basic thing set up , you have just all the  uh , a all these combinations ,


Um. It 's  it 's  let 's say it 's six hours or eight hours , or something for the training of HTK. How long is it for training of  of , uh , the neural net ?


For Albayzin I trained on neural network , uh , was , um , one day also.


Y you did a  you did it on a SPERT board.


Y you did a  you did it on a SPERT board.

OK , again , we do have a bunch of SPERT boards.


OK , again , we do have a bunch of SPERT boards.

And I think there  there  there 's  I think you folks are probably go the ones using them right now.


OK , again , we do have a bunch of SPERT boards.

And I think there  there  there 's  I think you folks are probably go the ones using them right now.

Is it faster to do it on the SPERT , or  ?


And I think there  there  there 's  I think you folks are probably go the ones using them right now.

Is it faster to do it on the SPERT , or  ?


And I think there  there  there 's  I think you folks are probably go the ones using them right now.

Is it faster to do it on the SPERT , or  ?

It 's  it 's still a little faster on the


Is it faster to do it on the SPERT , or  ?

It 's  it 's still a little faster on the


It 's  it 's still a little faster on the


It 's  it 's still a little faster on the

Yeah , yeah. Ad - Adam  Adam did some testing. Or either Adam or  or Dan did some testing and they found that the SPERT board 's still  still faster.


Yeah , yeah. Ad - Adam  Adam did some testing. Or either Adam or  or Dan did some testing and they found that the SPERT board 's still  still faster.


Yeah , yeah. Ad - Adam  Adam did some testing. Or either Adam or  or Dan did some testing and they found that the SPERT board 's still  still faster.

And the benefits is that , you know , you run out of SPERT and then you can do other things on your  your computer ,


And the benefits is that , you know , you run out of SPERT and then you can do other things on your  your computer ,


Yeah. So you could be  we have quite a few SPERT boards. You could set up , uh , you know , ten different jobs , or something , to run on SPERT  different SPERT boards and  and have ten other jobs running on different computers. So , it 's got to take that sort of thing , or  or we 're not going to get through any significant number of these.


Yeah. So you could be  we have quite a few SPERT boards. You could set up , uh , you know , ten different jobs , or something , to run on SPERT  different SPERT boards and  and have ten other jobs running on different computers. So , it 's got to take that sort of thing , or  or we 're not going to get through any significant number of these.

So this is  Yeah , I mean , I kind of like this because what it  No


So this is  Yeah , I mean , I kind of like this because what it  No

uh , no , what I like about it is we  we  we do have a problem that we have very limited time. You know , so , with very limited time , we actually have really quite a  quite a bit of computational resource available if you , you know , get a look across the institute and how little things are being used. And uh , on the other hand , almost anything that really i you know , is  is new , where we 're saying , " Well , let 's look at , like we were talking before about , uh , uh , voiced - unvoiced - silence detection features and all those sort  " that 's


uh , no , what I like about it is we  we  we do have a problem that we have very limited time. You know , so , with very limited time , we actually have really quite a  quite a bit of computational resource available if you , you know , get a look across the institute and how little things are being used. And uh , on the other hand , almost anything that really i you know , is  is new , where we 're saying , " Well , let 's look at , like we were talking before about , uh , uh , voiced - unvoiced - silence detection features and all those sort  " that 's

I think it 's a great thing to go to. But if it 's new , then we have this development and  and  and learning process t to  to go through on top of  just the  the  all the  all the work. So , I  I  I don't see how we 'd do it. So what I like about this is you basically have listed all the things that we already know how to do.


I think it 's a great thing to go to. But if it 's new , then we have this development and  and  and learning process t to  to go through on top of  just the  the  all the  all the work. So , I  I  I don't see how we 'd do it. So what I like about this is you basically have listed all the things that we already know how to do.

And  and all the kinds of data that we , at this point , already have. And , uh , you 're just saying let 's look at the outer product of all of these things and see if we can calculate them. a a Am I  am I interpreting this correctly ? Is this sort of what  what you 're thinking of doing in the short term ?


And  and all the kinds of data that we , at this point , already have. And , uh , you 're just saying let 's look at the outer product of all of these things and see if we can calculate them. a a Am I  am I interpreting this correctly ? Is this sort of what  what you 're thinking of doing in the short term ?


So  so then I think it 's just the  the missing piece is that you need to , uh , you know  you know , talk to  talk to , uh , Chuck , talk to , uh , Adam , uh , sort out about , uh , what 's the best way to really , you know , attack this as a  as a  as a mass problem in terms of using many machines. Uh , and uh , then , you know , set it up in terms of scripts and so forth , and  uh , in  in kind o some kind of structured way. Uh. Um , and , you know , when we go to , uh , OGI next week , uh , we can then present to them , you know , what it is that we 're doing. And , uh , we can pull things out of this list that we think they are doing sufficiently ,


So  so then I think it 's just the  the missing piece is that you need to , uh , you know  you know , talk to  talk to , uh , Chuck , talk to , uh , Adam , uh , sort out about , uh , what 's the best way to really , you know , attack this as a  as a  as a mass problem in terms of using many machines. Uh , and uh , then , you know , set it up in terms of scripts and so forth , and  uh , in  in kind o some kind of structured way. Uh. Um , and , you know , when we go to , uh , OGI next week , uh , we can then present to them , you know , what it is that we 're doing. And , uh , we can pull things out of this list that we think they are doing sufficiently ,

that , you know , we 're not  we won't be contributing that much. Um. And , uh  Then , uh , like , we 're there.


that , you know , we 're not  we won't be contributing that much. Um. And , uh  Then , uh , like , we 're there.

Um , for the  for nets trained on digits ,  um , we have been using , uh , four hundred order hidden units. And , um , for the broader class nets we 're  we 're going to increase that because the , um , the digits nets only correspond to about twenty phonemes.


Um , for the  for nets trained on digits ,  um , we have been using , uh , four hundred order hidden units. And , um , for the broader class nets we 're  we 're going to increase that because the , um , the digits nets only correspond to about twenty phonemes.


Um , the broader  broader training corpus nets like TIMIT. Um , w we 're gonna


Um , the broader  broader training corpus nets like TIMIT. Um , w we 're gonna

Oh , it 's not actually broader class , it 's actually finer class , but you mean  y You mean  more classes.


Um , the broader  broader training corpus nets like TIMIT. Um , w we 're gonna

Oh , it 's not actually broader class , it 's actually finer class , but you mean  y You mean  more classes.

Right. Right. Yeah. More classes. Right , right. More classes.


Oh , it 's not actually broader class , it 's actually finer class , but you mean  y You mean  more classes.

Right. Right. Yeah. More classes. Right , right. More classes.


Right. Right. Yeah. More classes. Right , right. More classes.


Carmen , did you  do you have something else to add ? We  you haven't talked too much , and


Carmen , did you  do you have something else to add ? We  you haven't talked too much , and

D I begin to work with the Italian database to  nnn , to  with the f front - end and with the HTK program and the @ @. And I trained eh , with the Spanish two neural network with PLP and with LogRASTA PLP. I don't know exactly what is better if  if LogRASTA or JRASTA.


Carmen , did you  do you have something else to add ? We  you haven't talked too much , and

D I begin to work with the Italian database to  nnn , to  with the f front - end and with the HTK program and the @ @. And I trained eh , with the Spanish two neural network with PLP and with LogRASTA PLP. I don't know exactly what is better if  if LogRASTA or JRASTA.

Well , um , JRASTA has the potential to do better , but it doesn't always. It 's  i i JRASTA is more complicated. It 's  it 's , uh  instead of doing RASTA with a log , you 're doing RASTA with a log - like function that varies depending on a J parameter , uh , which is supposed to be sensitive to the amount of noise there is. So , it 's sort of like the right transformation to do the filtering in , is dependent on how much noise there is.


D I begin to work with the Italian database to  nnn , to  with the f front - end and with the HTK program and the @ @. And I trained eh , with the Spanish two neural network with PLP and with LogRASTA PLP. I don't know exactly what is better if  if LogRASTA or JRASTA.

Well , um , JRASTA has the potential to do better , but it doesn't always. It 's  i i JRASTA is more complicated. It 's  it 's , uh  instead of doing RASTA with a log , you 're doing RASTA with a log - like function that varies depending on a J parameter , uh , which is supposed to be sensitive to the amount of noise there is. So , it 's sort of like the right transformation to do the filtering in , is dependent on how much noise there is.

And so in JRASTA you attempt to do that. It 's a little complicated because once you do that , you end up in some funny domain and you end up having to do a transformation afterwards , which requires some tables. And , uh ,


Well , um , JRASTA has the potential to do better , but it doesn't always. It 's  i i JRASTA is more complicated. It 's  it 's , uh  instead of doing RASTA with a log , you 're doing RASTA with a log - like function that varies depending on a J parameter , uh , which is supposed to be sensitive to the amount of noise there is. So , it 's sort of like the right transformation to do the filtering in , is dependent on how much noise there is.

And so in JRASTA you attempt to do that. It 's a little complicated because once you do that , you end up in some funny domain and you end up having to do a transformation afterwards , which requires some tables. And , uh ,


And so in JRASTA you attempt to do that. It 's a little complicated because once you do that , you end up in some funny domain and you end up having to do a transformation afterwards , which requires some tables. And , uh ,

so it 's  it 's  it 's a little messier , uh , there 's more ways that it can go wrong , uh , but if  if  if you 're careful with it , it can do better.


so it 's  it 's  it 's a little messier , uh , there 's more ways that it can go wrong , uh , but if  if  if you 're careful with it , it can do better.


so it 's  it 's  it 's a little messier , uh , there 's more ways that it can go wrong , uh , but if  if  if you 're careful with it , it can do better.

Um , and I think to  to  to recognize the Italian digits with the neural netw Spanish neural network , and also to train another neural network with the Spanish digits , the database of Spanish digits. And I working that.


Um , and I think to  to  to recognize the Italian digits with the neural netw Spanish neural network , and also to train another neural network with the Spanish digits , the database of Spanish digits. And I working that.


Um , and I think to  to  to recognize the Italian digits with the neural netw Spanish neural network , and also to train another neural network with the Spanish digits , the database of Spanish digits. And I working that.

But prepa to prepare the  the database are difficult. Was for me , n it was a difficult work last week with the labels because the  the program with the label obtained that I have , the Albayzin , is different w to the label to train the neural network. And   that is another work that we must to do , to  to change.


But prepa to prepare the  the database are difficult. Was for me , n it was a difficult work last week with the labels because the  the program with the label obtained that I have , the Albayzin , is different w to the label to train the neural network. And   that is another work that we must to do , to  to change.

Uh , for example Albayzin database was labeled automatically with HTK. It 's not hand  it 's not labels by hand.


Uh , for example Albayzin database was labeled automatically with HTK. It 's not hand  it 's not labels by hand.


I have a p I had a problem with  the pronunciation.


I have a p I had a problem with  the pronunciation.

I 'm sorry. The labels. I 'm sorry. The labels.


I 'm sorry. The labels. I 'm sorry. The labels.


So , TI TIMI TIMIT 's hand - labeled , and  and you 're saying about the Spanish ?


So , TI TIMI TIMIT 's hand - labeled , and  and you 're saying about the Spanish ?

The Spanish labels ? That was in different format , that the format for the em  the program to train the neural network.


The Spanish labels ? That was in different format , that the format for the em  the program to train the neural network.

So you 're just having a problem converting the labels.


So you 're just having a problem converting the labels.

It 's  it 's  Yeah. Yeah , but n yes , because they have one program , Feacalc , but no , l LabeCut , l LabeCut , but don't  doesn't , eh , include the HTK format to convert.


It 's  it 's  Yeah. Yeah , but n yes , because they have one program , Feacalc , but no , l LabeCut , l LabeCut , but don't  doesn't , eh , include the HTK format to convert.

And , I don't know what. I ask  e even I ask to Dan Ellis what I can do that , and h they  he say me that h he does doesn't any  any s any form to  to do that. And at the end , I think that with LabeCut I can transfer to ASCII format , and HTK is an ASCII format. And I m do another , uh , one program to put ASCII format of HTK to ase ay ac ASCII format to Exceed


And , I don't know what. I ask  e even I ask to Dan Ellis what I can do that , and h they  he say me that h he does doesn't any  any s any form to  to do that. And at the end , I think that with LabeCut I can transfer to ASCII format , and HTK is an ASCII format. And I m do another , uh , one program to put ASCII format of HTK to ase ay ac ASCII format to Exceed


but well , I know how we can did that  do that.


but well , I know how we can did that  do that.

Sure. So it 's just usual kind of uh  sometimes say housekeeping , right ? To get these  get these things sorted out.


but well , I know how we can did that  do that.

Sure. So it 's just usual kind of uh  sometimes say housekeeping , right ? To get these  get these things sorted out.

So it seems like there 's  there 's some peculiarities of the , uh  of each of these dimensions that are getting sorted out. And then , um , if  if you work on getting the , uh , assembly lines together , and then the  the pieces sort of get ready to go into the assembly line and gradually can start , you know , start turning the crank , more or less. And , uh , uh , we have a lot more computational capability here than they do at OGI , so I think that i if  What 's  what 's great about this is it sets it up in a very systematic way , so that , uh , once these  all of these , you know , mundane but real problems get sorted out , we can just start turning the crank


Sure. So it 's just usual kind of uh  sometimes say housekeeping , right ? To get these  get these things sorted out.

So it seems like there 's  there 's some peculiarities of the , uh  of each of these dimensions that are getting sorted out. And then , um , if  if you work on getting the , uh , assembly lines together , and then the  the pieces sort of get ready to go into the assembly line and gradually can start , you know , start turning the crank , more or less. And , uh , uh , we have a lot more computational capability here than they do at OGI , so I think that i if  What 's  what 's great about this is it sets it up in a very systematic way , so that , uh , once these  all of these , you know , mundane but real problems get sorted out , we can just start turning the crank


So it seems like there 's  there 's some peculiarities of the , uh  of each of these dimensions that are getting sorted out. And then , um , if  if you work on getting the , uh , assembly lines together , and then the  the pieces sort of get ready to go into the assembly line and gradually can start , you know , start turning the crank , more or less. And , uh , uh , we have a lot more computational capability here than they do at OGI , so I think that i if  What 's  what 's great about this is it sets it up in a very systematic way , so that , uh , once these  all of these , you know , mundane but real problems get sorted out , we can just start turning the crank

and  and push all of us through , and then finally figure out what 's best.


So it seems like there 's  there 's some peculiarities of the , uh  of each of these dimensions that are getting sorted out. And then , um , if  if you work on getting the , uh , assembly lines together , and then the  the pieces sort of get ready to go into the assembly line and gradually can start , you know , start turning the crank , more or less. And , uh , uh , we have a lot more computational capability here than they do at OGI , so I think that i if  What 's  what 's great about this is it sets it up in a very systematic way , so that , uh , once these  all of these , you know , mundane but real problems get sorted out , we can just start turning the crank

and  and push all of us through , and then finally figure out what 's best.

Yeah. Um , I  I was thinking two things. Uh , the first thing was , um  we  we actually had thought of this as sort of like , um  not  not in stages ,  but more along the  the time axis. Just kind of like one stream at a time ,


and  and push all of us through , and then finally figure out what 's best.

Yeah. Um , I  I was thinking two things. Uh , the first thing was , um  we  we actually had thought of this as sort of like , um  not  not in stages ,  but more along the  the time axis. Just kind of like one stream at a time ,


and  and push all of us through , and then finally figure out what 's best.

Yeah. Um , I  I was thinking two things. Uh , the first thing was , um  we  we actually had thought of this as sort of like , um  not  not in stages ,  but more along the  the time axis. Just kind of like one stream at a time ,

je - je - je - je - je  check out the results and  and go that way.


Yeah. Um , I  I was thinking two things. Uh , the first thing was , um  we  we actually had thought of this as sort of like , um  not  not in stages ,  but more along the  the time axis. Just kind of like one stream at a time ,

je - je - je - je - je  check out the results and  and go that way.

Oh , yeah , yeah , sure. No , I 'm just saying , I 'm just thinking of it like loops ,


je - je - je - je - je  check out the results and  and go that way.

Oh , yeah , yeah , sure. No , I 'm just saying , I 'm just thinking of it like loops ,


je - je - je - je - je  check out the results and  and go that way.

Oh , yeah , yeah , sure. No , I 'm just saying , I 'm just thinking of it like loops ,

right ? And so , y y y if you had three nested loops , that you have a choice for this , a choice for this , and a choice for that ,


Oh , yeah , yeah , sure. No , I 'm just saying , I 'm just thinking of it like loops ,

right ? And so , y y y if you had three nested loops , that you have a choice for this , a choice for this , and a choice for that ,


right ? And so , y y y if you had three nested loops , that you have a choice for this , a choice for this , and a choice for that ,

right ? And you 're going through them all. That  that 's what I meant.


right ? And you 're going through them all. That  that 's what I meant.

And , uh , the thing is that once you get a better handle on how much you can realistically do , uh , um ,  concurrently on different machines , different SPERTs , and so forth , uh , and you see how long it takes on what machine and so forth , you can stand back from it and say , " OK , if we look at all these combinations we 're talking about , and combinations of combinations , and so forth , " you 'll probably find you can't do it all.


And , uh , the thing is that once you get a better handle on how much you can realistically do , uh , um ,  concurrently on different machines , different SPERTs , and so forth , uh , and you see how long it takes on what machine and so forth , you can stand back from it and say , " OK , if we look at all these combinations we 're talking about , and combinations of combinations , and so forth , " you 'll probably find you can't do it all.

OK , so then at that point , uh , we should sort out which ones do we throw away.


OK , so then at that point , uh , we should sort out which ones do we throw away.

Which of the combinations across  you know , what are the most likely ones , and  And , uh , I still think we could do a lot of them. I mean , it wouldn't surprise me if we could do a hundred of them or something. But , probably when you include all the combinations , you 're actually talking about a thousand of them or something , and that 's probably more than we can do. Uh , but a hundred is a lot. And  and , uh , um


Which of the combinations across  you know , what are the most likely ones , and  And , uh , I still think we could do a lot of them. I mean , it wouldn't surprise me if we could do a hundred of them or something. But , probably when you include all the combinations , you 're actually talking about a thousand of them or something , and that 's probably more than we can do. Uh , but a hundred is a lot. And  and , uh , um


Which of the combinations across  you know , what are the most likely ones , and  And , uh , I still think we could do a lot of them. I mean , it wouldn't surprise me if we could do a hundred of them or something. But , probably when you include all the combinations , you 're actually talking about a thousand of them or something , and that 's probably more than we can do. Uh , but a hundred is a lot. And  and , uh , um

Yeah , and the  the second thing was about scratch space. And I think you sent an email about , um , e scratch space for  for people to work on. And I know that , uh , Stephane 's working from an NT machine , so his  his home directory exists somewhere else.


Yeah , and the  the second thing was about scratch space. And I think you sent an email about , um , e scratch space for  for people to work on. And I know that , uh , Stephane 's working from an NT machine , so his  his home directory exists somewhere else.

His  his stuff is somewhere else , yeah. Yeah , I mean , my point I  I want to  Yeah , thanks for bring it back to that. My  th I want to clarify my point about that  that  that Chuck repeated in his note. Um. We 're  over the next year or two , we 're gonna be upgrading the networks in this place ,


Yeah , and the  the second thing was about scratch space. And I think you sent an email about , um , e scratch space for  for people to work on. And I know that , uh , Stephane 's working from an NT machine , so his  his home directory exists somewhere else.

His  his stuff is somewhere else , yeah. Yeah , I mean , my point I  I want to  Yeah , thanks for bring it back to that. My  th I want to clarify my point about that  that  that Chuck repeated in his note. Um. We 're  over the next year or two , we 're gonna be upgrading the networks in this place ,

but right now they 're still all te pretty much all ten megabit lines. And we have reached the  this  the machines are getting faster and faster. So , it actually has reached the point where it 's a significant drag on the time for something to move the data from one place to another.


His  his stuff is somewhere else , yeah. Yeah , I mean , my point I  I want to  Yeah , thanks for bring it back to that. My  th I want to clarify my point about that  that  that Chuck repeated in his note. Um. We 're  over the next year or two , we 're gonna be upgrading the networks in this place ,

but right now they 're still all te pretty much all ten megabit lines. And we have reached the  this  the machines are getting faster and faster. So , it actually has reached the point where it 's a significant drag on the time for something to move the data from one place to another.


but right now they 're still all te pretty much all ten megabit lines. And we have reached the  this  the machines are getting faster and faster. So , it actually has reached the point where it 's a significant drag on the time for something to move the data from one place to another.

So , you  you don't w especially in something with repetitive computation where you 're going over it multiple times , you do  don't want to have the  the data that you 're working on distant from where it 's being  where the computation 's being done if you can help it.


So , you  you don't w especially in something with repetitive computation where you 're going over it multiple times , you do  don't want to have the  the data that you 're working on distant from where it 's being  where the computation 's being done if you can help it.

Uh. Now , we are getting more disk for the central file server , which , since it 's not a computational server , would seem to be a contradiction to what I just said. But the idea is that , uh , suppose you 're working with , uh , this big bunch of multi multilingual databases. Um , you put them all in the central ser at the cen central file server.


Uh. Now , we are getting more disk for the central file server , which , since it 's not a computational server , would seem to be a contradiction to what I just said. But the idea is that , uh , suppose you 're working with , uh , this big bunch of multi multilingual databases. Um , you put them all in the central ser at the cen central file server.

Then , when you 're working with something and accessing it many times , you copy the piece of it that you 're working with over to some place that 's close to where the computation is and then do all the work there. And then that way you  you won't have the  the network  you won't be clogging the network for yourself and others.


Then , when you 're working with something and accessing it many times , you copy the piece of it that you 're working with over to some place that 's close to where the computation is and then do all the work there. And then that way you  you won't have the  the network  you won't be clogging the network for yourself and others.

That 's the idea. So , uh , it 's gonna take us  It may be too late for this , uh , p precise crunch we 're in now , but , uh , we 're , uh  It 's gonna take us a couple weeks at least to get the , uh , uh , the amount of disk we 're gonna be getting. We 're actually gonna get , uh , I think four more , uh , thirty - six gigabyte drives and , uh , put them on another  another disk rack. We ran out of space on the disk rack that we had , so we 're getting another disk rack and  four more drives to share between , uh  primarily between this project and the Meetings  Meetings Project. Um. But , uh , we 've put another  I guess there 's another eighteen gigabytes that 's  that 's in there now to help us with the immediate crunch. But , uh , are you saying  So I don't know where  you 're  Stephane , where you 're doing your computations. If  i so , you 're on an NT machine , so you 're using some external machine


Then , when you 're working with something and accessing it many times , you copy the piece of it that you 're working with over to some place that 's close to where the computation is and then do all the work there. And then that way you  you won't have the  the network  you won't be clogging the network for yourself and others.

That 's the idea. So , uh , it 's gonna take us  It may be too late for this , uh , p precise crunch we 're in now , but , uh , we 're , uh  It 's gonna take us a couple weeks at least to get the , uh , uh , the amount of disk we 're gonna be getting. We 're actually gonna get , uh , I think four more , uh , thirty - six gigabyte drives and , uh , put them on another  another disk rack. We ran out of space on the disk rack that we had , so we 're getting another disk rack and  four more drives to share between , uh  primarily between this project and the Meetings  Meetings Project. Um. But , uh , we 've put another  I guess there 's another eighteen gigabytes that 's  that 's in there now to help us with the immediate crunch. But , uh , are you saying  So I don't know where  you 're  Stephane , where you 're doing your computations. If  i so , you 're on an NT machine , so you 're using some external machine

Yeah , it , uh  Well , to  It 's Nutmeg and Mustard , I think ,


That 's the idea. So , uh , it 's gonna take us  It may be too late for this , uh , p precise crunch we 're in now , but , uh , we 're , uh  It 's gonna take us a couple weeks at least to get the , uh , uh , the amount of disk we 're gonna be getting. We 're actually gonna get , uh , I think four more , uh , thirty - six gigabyte drives and , uh , put them on another  another disk rack. We ran out of space on the disk rack that we had , so we 're getting another disk rack and  four more drives to share between , uh  primarily between this project and the Meetings  Meetings Project. Um. But , uh , we 've put another  I guess there 's another eighteen gigabytes that 's  that 's in there now to help us with the immediate crunch. But , uh , are you saying  So I don't know where  you 're  Stephane , where you 're doing your computations. If  i so , you 're on an NT machine , so you 're using some external machine

Yeah , it , uh  Well , to  It 's Nutmeg and Mustard , I think ,


Yeah , it , uh  Well , to  It 's Nutmeg and Mustard , I think ,


Yeah , OK. Uh , are these  are these , uh , computational servers , or something ? I 'm  I 've been kind of out of it.


Yeah , OK. Uh , are these  are these , uh , computational servers , or something ? I 'm  I 've been kind of out of it.

Unfortunately , these days my idea of running comput of computa doing computation is running a spread sheet.


Unfortunately , these days my idea of running comput of computa doing computation is running a spread sheet.


Uh , haven't been  haven't been doing much computing personally , so. Um. Yeah , so those are computational servers. So I guess the other question is what disk there i space there is there on the computational servers.


Uh , haven't been  haven't been doing much computing personally , so. Um. Yeah , so those are computational servers. So I guess the other question is what disk there i space there is there on the computational servers.

Right. Yeah , I 'm not sure what 's available on  is it  you said Nutmeg and what was the other one ?


Right. Yeah , I 'm not sure what 's available on  is it  you said Nutmeg and what was the other one ?


Yeah , Well , you 're the  you 're the disk czar now.


Yeah. Yeah , so basically , uh , Chuck will be the one who will be sorting out what disk needs to be where , and so on , and I 'll be the one who says , " OK , spend the money. " So.  Which , I mean , n these days , uh , if you 're talking about scratch space , it doesn't increase the , uh , need for backup , and , uh , I think it 's not that big a d and the  the disks themselves are not that expensive. Right now it 's


Yeah. Yeah , so basically , uh , Chuck will be the one who will be sorting out what disk needs to be where , and so on , and I 'll be the one who says , " OK , spend the money. " So.  Which , I mean , n these days , uh , if you 're talking about scratch space , it doesn't increase the , uh , need for backup , and , uh , I think it 's not that big a d and the  the disks themselves are not that expensive. Right now it 's

What you can do , when you 're on that machine , is , uh , just go to the slash - scratch directory , and do a DF minus K , and it 'll tell you if there 's space available.


What you can do , when you 're on that machine , is , uh , just go to the slash - scratch directory , and do a DF minus K , and it 'll tell you if there 's space available.

But wasn't it , uh  I think Dave was saying that he preferred that people didn't put stuff in slash - scratch. It 's more putting in d s XA or XB or ,


But wasn't it , uh  I think Dave was saying that he preferred that people didn't put stuff in slash - scratch. It 's more putting in d s XA or XB or ,

Well , there 's different  there , um , there 's


But wasn't it , uh  I think Dave was saying that he preferred that people didn't put stuff in slash - scratch. It 's more putting in d s XA or XB or ,

Well , there 's different  there , um , there 's

Right. So there 's the slash - X - whatever disks , and then there 's slash - scratch. And both of those two kinds are not backed up. And if it 's called " slash - scratch " , it means it 's probably an internal disk to the machine. Um. And so that 's the kind of thing where , like if  um , OK , if you don't have an NT , but you have a  a  a Unix workstation , and they attach an external disk ,  it 'll be called " slash - X - something " uh , if it 's not backed up and it 'll be " slash - D - something " if it is backed up. And if it 's inside the machine on the desk , it 's called " slash - scratch ". But the problem is , if you ever get a new machine , they take your machine away. It 's easy to unhook the external disks , put them back on the new machine , but then your slash - scratch is gone. So , you don't wanna put anything in slash - scratch that you wanna keep around for a long period of time. But if it 's a copy of , say , some data that 's on a server , you can put it on slash - scratch because , um , first of all it 's not backed up , and second it doesn't matter if that machine disappears and you get a new machine because you just recopy it to slash - scratch. So tha that 's why I was saying you could check slash - scratch on those  on  on , um , Mustard and  and Nutmeg to see if  if there 's space that you could use there.


Well , there 's different  there , um , there 's

Right. So there 's the slash - X - whatever disks , and then there 's slash - scratch. And both of those two kinds are not backed up. And if it 's called " slash - scratch " , it means it 's probably an internal disk to the machine. Um. And so that 's the kind of thing where , like if  um , OK , if you don't have an NT , but you have a  a  a Unix workstation , and they attach an external disk ,  it 'll be called " slash - X - something " uh , if it 's not backed up and it 'll be " slash - D - something " if it is backed up. And if it 's inside the machine on the desk , it 's called " slash - scratch ". But the problem is , if you ever get a new machine , they take your machine away. It 's easy to unhook the external disks , put them back on the new machine , but then your slash - scratch is gone. So , you don't wanna put anything in slash - scratch that you wanna keep around for a long period of time. But if it 's a copy of , say , some data that 's on a server , you can put it on slash - scratch because , um , first of all it 's not backed up , and second it doesn't matter if that machine disappears and you get a new machine because you just recopy it to slash - scratch. So tha that 's why I was saying you could check slash - scratch on those  on  on , um , Mustard and  and Nutmeg to see if  if there 's space that you could use there.


Right. So there 's the slash - X - whatever disks , and then there 's slash - scratch. And both of those two kinds are not backed up. And if it 's called " slash - scratch " , it means it 's probably an internal disk to the machine. Um. And so that 's the kind of thing where , like if  um , OK , if you don't have an NT , but you have a  a  a Unix workstation , and they attach an external disk ,  it 'll be called " slash - X - something " uh , if it 's not backed up and it 'll be " slash - D - something " if it is backed up. And if it 's inside the machine on the desk , it 's called " slash - scratch ". But the problem is , if you ever get a new machine , they take your machine away. It 's easy to unhook the external disks , put them back on the new machine , but then your slash - scratch is gone. So , you don't wanna put anything in slash - scratch that you wanna keep around for a long period of time. But if it 's a copy of , say , some data that 's on a server , you can put it on slash - scratch because , um , first of all it 's not backed up , and second it doesn't matter if that machine disappears and you get a new machine because you just recopy it to slash - scratch. So tha that 's why I was saying you could check slash - scratch on those  on  on , um , Mustard and  and Nutmeg to see if  if there 's space that you could use there.

You could also use slash - X - whatever disks on Mustard and Nutmeg.


You could also use slash - X - whatever disks on Mustard and Nutmeg.

Um. Yeah , and we do have  I mean , yeah , so  so you  yeah , it 's better to have things local if you 're gonna run over them lots of times so you don't have to go to the network.


You could also use slash - X - whatever disks on Mustard and Nutmeg.

Um. Yeah , and we do have  I mean , yeah , so  so you  yeah , it 's better to have things local if you 're gonna run over them lots of times so you don't have to go to the network.

Right , so es so especially if you 're  right , if you 're  if you 're taking some piece of the training corpus , which usually resides in where Chuck is putting it all on the  on the , uh , file server , uh , then , yeah , it 's fine if it 's not backed up because if it g g gets wiped out or something , y I mean it is backed up on the other disk. So ,


Um. Yeah , and we do have  I mean , yeah , so  so you  yeah , it 's better to have things local if you 're gonna run over them lots of times so you don't have to go to the network.

Right , so es so especially if you 're  right , if you 're  if you 're taking some piece of the training corpus , which usually resides in where Chuck is putting it all on the  on the , uh , file server , uh , then , yeah , it 's fine if it 's not backed up because if it g g gets wiped out or something , y I mean it is backed up on the other disk. So ,


Right , so es so especially if you 're  right , if you 're  if you 're taking some piece of the training corpus , which usually resides in where Chuck is putting it all on the  on the , uh , file server , uh , then , yeah , it 's fine if it 's not backed up because if it g g gets wiped out or something , y I mean it is backed up on the other disk. So ,

Yeah , so ,  one of the things that I need to  I 've started looking at  Uh , is this the appropriate time to talk about the disk space stuff ?


Yeah , so ,  one of the things that I need to  I 've started looking at  Uh , is this the appropriate time to talk about the disk space stuff ?


Yeah , so ,  one of the things that I need to  I 've started looking at  Uh , is this the appropriate time to talk about the disk space stuff ?

I 've started looking at , um , disk space. Dan  David , um , put a new , um , drive onto Abbott , that 's an X disk , which means it 's not backed up. So , um , I 've been going through and copying data that is , you know , some kind of corpus stuff usually , that  that we 've got on a CD - ROM or something , onto that new disk to free up space  on other disks. And , um , so far , um , I 've copied a couple of Carmen 's , um , databases over there. We haven't deleted them off of the slash - DC disk that they 're on right now in Abbott , um , uh , but we  I would like to go through  sit down with you about some of these other ones and see if we can move them onto , um , this new disk also. There 's  there 's a lot more space there ,


I 've started looking at , um , disk space. Dan  David , um , put a new , um , drive onto Abbott , that 's an X disk , which means it 's not backed up. So , um , I 've been going through and copying data that is , you know , some kind of corpus stuff usually , that  that we 've got on a CD - ROM or something , onto that new disk to free up space  on other disks. And , um , so far , um , I 've copied a couple of Carmen 's , um , databases over there. We haven't deleted them off of the slash - DC disk that they 're on right now in Abbott , um , uh , but we  I would like to go through  sit down with you about some of these other ones and see if we can move them onto , um , this new disk also. There 's  there 's a lot more space there ,

and it 'll free up more space for doing the experiments and things. So , anything that  that you don't need backed up , we can put on this new disk. Um , but if it 's experiments and you 're creating files and things that you 're gonna need , you probably wanna have those on a disk that 's backed up , just in case something  goes wrong. So. Um So far I 've  I 've copied a couple of things , but I haven't deleted anything off of the old disk to make room yet. Um , and I haven't looked at the  any of the Aurora stuff , except for the Spanish. So I  I guess I 'll need to get together with you and see what data we can move onto the new disk.


and it 'll free up more space for doing the experiments and things. So , anything that  that you don't need backed up , we can put on this new disk. Um , but if it 's experiments and you 're creating files and things that you 're gonna need , you probably wanna have those on a disk that 's backed up , just in case something  goes wrong. So. Um So far I 've  I 've copied a couple of things , but I haven't deleted anything off of the old disk to make room yet. Um , and I haven't looked at the  any of the Aurora stuff , except for the Spanish. So I  I guess I 'll need to get together with you and see what data we can move onto the new disk.

Um , yeah , I  I just  an another question occurred to me is  is what were you folks planning to do about normalization ?


and it 'll free up more space for doing the experiments and things. So , anything that  that you don't need backed up , we can put on this new disk. Um , but if it 's experiments and you 're creating files and things that you 're gonna need , you probably wanna have those on a disk that 's backed up , just in case something  goes wrong. So. Um So far I 've  I 've copied a couple of things , but I haven't deleted anything off of the old disk to make room yet. Um , and I haven't looked at the  any of the Aurora stuff , except for the Spanish. So I  I guess I 'll need to get together with you and see what data we can move onto the new disk.

Um , yeah , I  I just  an another question occurred to me is  is what were you folks planning to do about normalization ?

Um. Well , we were thinking about using this systematically for all the experiments. Um.


Um , yeah , I  I just  an another question occurred to me is  is what were you folks planning to do about normalization ?

Um. Well , we were thinking about using this systematically for all the experiments. Um.


Um , yeah , I  I just  an another question occurred to me is  is what were you folks planning to do about normalization ?

Um. Well , we were thinking about using this systematically for all the experiments. Um.

So , but  Uh. So that this could be another dimension , but we think perhaps we can use the  the best , uh , um , uh , normalization scheme as OGI is using , so , with parameters that they use there ,


Um. Well , we were thinking about using this systematically for all the experiments. Um.

So , but  Uh. So that this could be another dimension , but we think perhaps we can use the  the best , uh , um , uh , normalization scheme as OGI is using , so , with parameters that they use there ,


So , but  Uh. So that this could be another dimension , but we think perhaps we can use the  the best , uh , um , uh , normalization scheme as OGI is using , so , with parameters that they use there ,


So , but  Uh. So that this could be another dimension , but we think perhaps we can use the  the best , uh , um , uh , normalization scheme as OGI is using , so , with parameters that they use there ,

I mean it 's i i we  we seem to have enough dimensions as it is. So probably if we  sort of take their


I mean it 's i i we  we seem to have enough dimensions as it is. So probably if we  sort of take their


I mean it 's i i we  we seem to have enough dimensions as it is. So probably if we  sort of take their

probably the on - line  line normalization because then it   it 's  if we do anything else , we 're gonna end up having to do on - line normalization too , so we may as well just do on - line normalization.


probably the on - line  line normalization because then it   it 's  if we do anything else , we 're gonna end up having to do on - line normalization too , so we may as well just do on - line normalization.

So. Um. So that it 's plausible for the final thing. Good. Um. So , I guess , yeah , th the other topic  I  maybe we 're already there , or almost there , is goals for the  for next week 's meeting. Uh. i i i it seems to me that we wanna do is flush out what you put on the board here. Uh. You know , maybe , have it be somewhat visual , a little bit.


So. Um. So that it 's plausible for the final thing. Good. Um. So , I guess , yeah , th the other topic  I  maybe we 're already there , or almost there , is goals for the  for next week 's meeting. Uh. i i i it seems to me that we wanna do is flush out what you put on the board here. Uh. You know , maybe , have it be somewhat visual , a little bit.

Uh , so w we can say what we 're doing ,


Uh , so w we can say what we 're doing ,

yeah. And , um , also , if you have  sorted out , um , this information about how long i roughly how long it takes to do on what and , you know , what we can  how many of these trainings , uh , uh , and testings and so forth that we can realistically do , uh , then one of the big goals of going there next week would be to  to actually settle on which of them we 're gonna do. And , uh , when we come back we can charge in and do it. Um. Anything else that  I a a Actually  started out this  this field trip started off with  with , uh , Stephane talking to Hynek , so you may have  you may have had other goals , uh , for going up , and any anything else you can think of would be  we should think about  accomplishing ? I mean , I 'm just saying this because  maybe there 's things we need to do in preparation.


Uh , so w we can say what we 're doing ,

yeah. And , um , also , if you have  sorted out , um , this information about how long i roughly how long it takes to do on what and , you know , what we can  how many of these trainings , uh , uh , and testings and so forth that we can realistically do , uh , then one of the big goals of going there next week would be to  to actually settle on which of them we 're gonna do. And , uh , when we come back we can charge in and do it. Um. Anything else that  I a a Actually  started out this  this field trip started off with  with , uh , Stephane talking to Hynek , so you may have  you may have had other goals , uh , for going up , and any anything else you can think of would be  we should think about  accomplishing ? I mean , I 'm just saying this because  maybe there 's things we need to do in preparation.

Oh , I think basically , this is  this is , uh , yeah.


yeah. And , um , also , if you have  sorted out , um , this information about how long i roughly how long it takes to do on what and , you know , what we can  how many of these trainings , uh , uh , and testings and so forth that we can realistically do , uh , then one of the big goals of going there next week would be to  to actually settle on which of them we 're gonna do. And , uh , when we come back we can charge in and do it. Um. Anything else that  I a a Actually  started out this  this field trip started off with  with , uh , Stephane talking to Hynek , so you may have  you may have had other goals , uh , for going up , and any anything else you can think of would be  we should think about  accomplishing ? I mean , I 'm just saying this because  maybe there 's things we need to do in preparation.

Oh , I think basically , this is  this is , uh , yeah.

OK. OK. Uh. Alright. And uh  and the other  the  the last topic I had here was , um , uh d Dave 's fine offer to  to , uh , do something   on this. I mean he 's doing    he 's working on other things , but to  to do something on this project. So the question is , " Where  where could we , uh , uh , most use Dave 's help ? "


yeah. And , um , also , if you have  sorted out , um , this information about how long i roughly how long it takes to do on what and , you know , what we can  how many of these trainings , uh , uh , and testings and so forth that we can realistically do , uh , then one of the big goals of going there next week would be to  to actually settle on which of them we 're gonna do. And , uh , when we come back we can charge in and do it. Um. Anything else that  I a a Actually  started out this  this field trip started off with  with , uh , Stephane talking to Hynek , so you may have  you may have had other goals , uh , for going up , and any anything else you can think of would be  we should think about  accomplishing ? I mean , I 'm just saying this because  maybe there 's things we need to do in preparation.

Oh , I think basically , this is  this is , uh , yeah.

OK. OK. Uh. Alright. And uh  and the other  the  the last topic I had here was , um , uh d Dave 's fine offer to  to , uh , do something   on this. I mean he 's doing    he 's working on other things , but to  to do something on this project. So the question is , " Where  where could we , uh , uh , most use Dave 's help ? "

Um , yeah , I was thinking perhaps if , um , additionally to all these experiments , which is not really research , well I mean it 's , uh , running programs


Oh , I think basically , this is  this is , uh , yeah.

OK. OK. Uh. Alright. And uh  and the other  the  the last topic I had here was , um , uh d Dave 's fine offer to  to , uh , do something   on this. I mean he 's doing    he 's working on other things , but to  to do something on this project. So the question is , " Where  where could we , uh , uh , most use Dave 's help ? "

Um , yeah , I was thinking perhaps if , um , additionally to all these experiments , which is not really research , well I mean it 's , uh , running programs


OK. OK. Uh. Alright. And uh  and the other  the  the last topic I had here was , um , uh d Dave 's fine offer to  to , uh , do something   on this. I mean he 's doing    he 's working on other things , but to  to do something on this project. So the question is , " Where  where could we , uh , uh , most use Dave 's help ? "

Um , yeah , I was thinking perhaps if , um , additionally to all these experiments , which is not really research , well I mean it 's , uh , running programs

and , um ,  trying to have a closer look at the  perhaps the , um ,  speech , uh , noise detection or , uh , voiced - sound - unvoiced - sound detection and  Which could be important in  i for noise  noise


Um , yeah , I was thinking perhaps if , um , additionally to all these experiments , which is not really research , well I mean it 's , uh , running programs

and , um ,  trying to have a closer look at the  perhaps the , um ,  speech , uh , noise detection or , uh , voiced - sound - unvoiced - sound detection and  Which could be important in  i for noise  noise

I think that would be a  I think that 's a big  big deal. Because the  you know , the thing that Sunil was talking about , uh , with the labels , uh , labeling the database when it got to the noisy stuff ? The  That  that really throws things off. You know , having the noise all of a sudden , your  your , um , speech detector , I mean the  the , um  What was it ? What was happening with his thing ?


and , um ,  trying to have a closer look at the  perhaps the , um ,  speech , uh , noise detection or , uh , voiced - sound - unvoiced - sound detection and  Which could be important in  i for noise  noise

I think that would be a  I think that 's a big  big deal. Because the  you know , the thing that Sunil was talking about , uh , with the labels , uh , labeling the database when it got to the noisy stuff ? The  That  that really throws things off. You know , having the noise all of a sudden , your  your , um , speech detector , I mean the  the , um  What was it ? What was happening with his thing ?

He was running through these models very quickly. He was getting lots of , uh , uh insertions , is what it was , in his recognitions.


and , um ,  trying to have a closer look at the  perhaps the , um ,  speech , uh , noise detection or , uh , voiced - sound - unvoiced - sound detection and  Which could be important in  i for noise  noise

I think that would be a  I think that 's a big  big deal. Because the  you know , the thing that Sunil was talking about , uh , with the labels , uh , labeling the database when it got to the noisy stuff ? The  That  that really throws things off. You know , having the noise all of a sudden , your  your , um , speech detector , I mean the  the , um  What was it ? What was happening with his thing ?

He was running through these models very quickly. He was getting lots of , uh , uh insertions , is what it was , in his recognitions.

The only problem  I mean , maybe that 's the right thing  the only problem I have with it is exactly the same reason why you thought it 'd be a good thing to do. Um , I  I think that  Let 's fall back to that. But I think the first responsibility is sort of to figure out if there 's something  that , uh , an  an additional  Uh , that 's a good thing you  remove the mike. Go ahead , good. Uh , uh. What an additional clever person could help with when we 're really in a crunch for time. Right ? Cuz Dave 's gonna be around for a long time ,