Mask-filling: Given a sequence of tables T and a question Q with [MASK], what is the word at [MASK]?
question Q： Is the proposed framework capable of inserting expressiveness into synthetic speech? shows that we obtain an [MASK] of 24.01 and an: Performance obtained using different features for emotion recognition and speaking style classific.
sequence of table T：
Metric MCD ,Model Setup,Dataset Reference w / o synth . ref . 64 - dim para . enc .,24.01, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,10.71, Base EVoCA w / o synth . ref . 64 - dim para . enc .,, Base EVoCA w / o para . enc . 64 - dim para . enc .,, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,, w / 64 - dim para . enc .,, w / 32 - dim para . enc .,, w / 128 - dim converter,, w / 64 - dim converter,, w / 32 - dim converter,, F 0 RMSE ( Hz ),Model Setup,Dataset Reference w / 128 - dim para . enc . 64 - dim para . enc .,146.20, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,64.36, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,, w / 64 - dim para . enc .,, w / 32 - dim para . enc .,, Base EVoCA w / 128 - dim converter,, w / 64 - dim converter,, w / 32 - dim converter,,Table 1: Objective performance measures for the style voice conversion task with different setups. The base EVoCA consists of a 256-dimensional paralinguistic encoder and a 256-dimensional voice converter. Refer-ence numbers are computed using the synthetic speech and ground-truth expressive speech. All other numbers are computed using converted speech and ground-truth expressive speech. The words with all capital letters should appear at least 10 times.
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