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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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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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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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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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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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04/05/2022
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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02/18/2022
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder
In this paper, we present an unsupervised probabilistic model and associ...
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09/08/2021
A Survey of Sound Source Localization with Deep Learning Methods
This article is a survey on deep learning methods for single and multipl...
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07/23/2021
SALADnet: Self-Attentive multisource Localization in the Ambisonics Domain
In this work, we propose a novel self-attention based neural network for...
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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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05/05/2021
Improved feature extraction for CRNN-based multiple sound source localization
In this work, we propose to extend a state-of-the-art multi-source local...
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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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01/06/2021
Multichannel CRNN for Speaker Counting: an Analysis of Performance
Speaker counting is the task of estimating the number of people that are...
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12/07/2020
Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function
This paper addresses the problem of sound-source localization (SSL) with...
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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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03/17/2020
High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With Ambisonics Features
Speaker counting is the task of estimating the number of people that are...
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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
Expectation-Maximization for Speech Source Separation Using Convolutive Transfer Function
This paper addresses the problem of under-determinded speech source sepa...
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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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12/20/2018
Multichannel Online Dereverberation based on Spectral Magnitude Inverse Filtering
This paper addresses the problem of multichannel online dereverberation....
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12/11/2018
A cascaded multiple-speaker localization and tracking system
This paper presents an online multiple-speaker localization and tracking...
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11/16/2018
Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization
In this paper we address speaker-independent multichannel speech enhance...
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09/28/2018
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers
In this paper we address the problem of tracking multiple speakers via t...
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09/28/2018
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments
This paper addresses the problem of online multiple-speaker localization...
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06/11/2018
Autoencoders for music sound synthesis: a comparison of linear, shallow, deep and variational models
This study investigates the use of non-linear unsupervised dimensionalit...
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11/21/2017
Multichannel Speech Separation and Enhancement Using the Convolutive Transfer Function
This paper addresses the problem of speech separation and enhancement fr...
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11/21/2017