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06/13/2023
Unsupervised speech enhancement with deep dynamical generative speech and noise models
This work builds on a previous work on unsupervised speech enhancement u...
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06/09/2023
Motion-DVAE: Unsupervised learning for fast human motion denoising
Pose and motion priors are crucial for recovering realistic and accurate...
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05/05/2023
A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning
In this paper, we present a multimodal and dynamical VAE (MDVAE) applied...
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05/05/2023
A vector quantized masked autoencoder for audiovisual speech emotion recognition
While fully-supervised models have been shown to be effective for audiov...
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04/21/2023
A vector quantized masked autoencoder for speech emotion recognition
Recent years have seen remarkable progress in speech emotion recognition...
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03/30/2023
LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space
The classification of forged videos has been a challenge for the past fe...
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03/07/2023
Speech Modeling with a Hierarchical Transformer Dynamical VAE
The dynamical variational autoencoders (DVAEs) are a family of latent-va...
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04/14/2022
Learning and controlling the source-filter representation of speech with a variational autoencoder
Understanding and controlling latent representations in deep generative ...
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04/04/2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
Studies on the automatic processing of 3D human pose data have flourishe...
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06/23/2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
Dynamical variational auto-encoders (DVAEs) are a class of deep generati...
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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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08/28/2020
Dynamical Variational Autoencoders: A Comprehensive Review
The Variational Autoencoder (VAE) is a powerful deep generative model th...
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10/24/2019
A Recurrent Variational Autoencoder for Speech Enhancement
This paper presents a generative approach to speech enhancement based on...
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08/07/2019
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder
Variational auto-encoders (VAEs) are deep generative latent variable mod...
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04/10/2019
Audio-noise Power Spectral Density Estimation Using Long Short-term Memory
We propose a method using a long short-term memory (LSTM) network to est...
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02/08/2019
Speech enhancement with variational autoencoders and alpha-stable distributions
This paper focuses on single-channel semi-supervised speech enhancement....
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02/05/2019
A variance modeling framework based on variational autoencoders for speech enhancement
In this paper we address the problem of enhancing speech signals in nois...
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11/16/2018