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06/14/2023
Investigating the dynamics of hand and lips in French Cued Speech using attention mechanisms and CTC-based decoding
Hard of hearing or profoundly deaf people make use of cued speech (CS) a...
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07/04/2022
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model
Several recent studies have tested the use of transformer language model...
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06/17/2022
Self-supervised speech unit discovery from articulatory and acoustic features using VQ-VAE
The human perception system is often assumed to recruit motor knowledge ...
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04/11/2022
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
This paper proposes a simple and effective approach for automatic recogn...
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04/05/2022
Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation
We propose a computational model of speech production combining a pre-tr...
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06/11/2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
The Variational Autoencoder (VAE) is a powerful deep generative model th...
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04/07/2021
Learning robust speech representation with an articulatory-regularized variational autoencoder
It is increasingly considered that human speech perception and productio...
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02/19/2021
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
The prosody of a spoken word is determined by its surrounding context. I...
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09/04/2020
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS
In incremental text to speech synthesis (iTTS), the synthesizer produces...
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08/28/2020
Dynamical Variational Autoencoders: A Comprehensive Review
The Variational Autoencoder (VAE) is a powerful deep generative model th...
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06/11/2018
