Simon Leglaive

Orcid: 0000-0002-8219-1298

According to our database1, Simon Leglaive authored at least 37 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge.
CoRR, 2024

2023
Learning and controlling the source-filter representation of speech with a variational autoencoder.
Speech Commun., March, 2023

VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space.
CoRR, 2023

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement.
CoRR, 2023

Unsupervised speech enhancement with deep dynamical generative speech and noise models.
CoRR, 2023

A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning.
CoRR, 2023

A vector quantized masked autoencoder for audiovisual speech emotion recognition.
CoRR, 2023

LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space.
CoRR, 2023

SwimXYZ: A large-scale dataset of synthetic swimming motions and videos.
Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023

Motion-DVAE: Unsupervised learning for fast human motion denoising.
Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023

A Vector Quantized Masked Autoencoder for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Modeling with a Hierarchical Transformer Dynamical VAE.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Expectation-Maximization Based Defense Mechanism for Distributed Model Predictive Control.
CoRR, 2022

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE.
CoRR, 2022

2021
Dynamical Variational Autoencoders: A Comprehensive Review.
Found. Trends Mach. Learn., 2021

Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders.
CoRR, 2021

A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

On Speech Sparsity for Computational Efficiency and Noise Reduction in Hearing Aids.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

A Recurrent Variational Autoencoder for Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Localization Cues Preservation in Hearing Aids by Combining Noise Reduction and Dynamic Range Compression.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Audio-Noise Power Spectral Density Estimation Using Long Short-Term Memory.
IEEE Signal Process. Lett., 2019

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder.
CoRR, 2019

Speech Enhancement with Variational Autoencoders and Alpha-stable Distributions.
Proceedings of the IEEE International Conference on Acoustics, 2019

Semi-supervised Multichannel Speech Enhancement with Variational Autoencoders and Non-negative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Student's t Source and Mixing Models for Multichannel Audio Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

A variance Modeling Framework based on variational Autoencoders for speech enhancement.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Alpha-Stable Low-Rank Plus Residual Decomposition for Speech Enhancement.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Separating time-frequency sources from time-domain convolutive mixtures using non-negative matrix factorization.
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Alpha-stable multichannel audio source separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multichannel audio source separation: Variational inference of time-frequency sources from time-domain observations.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Semi-blind student's t source separation for multichannel audio convolutive mixtures.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Multichannel Audio Source Separation With Probabilistic Reverberation Priors.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Autoregressive moving average modeling of late reverberation in the frequency domain.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Multichannel audio source separation with probabilistic reverberation modeling.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Singing voice detection with deep recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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