Singing voice detection with deep recurrent neural networks. - Simon Leglaive; Romain Hennequin; Roland Badeau (ICASSP, 2015)

Multichannel audio source separation with probabilistic reverberation modeling. - Simon Leglaive; Roland Badeau; Gaël Richard (WASPAA, 2015)

Autoregressive moving average modeling of late reverberation in the frequency domain. - Simon Leglaive; Roland Badeau; Gaël Richard (EUSIPCO, 2016)

Multichannel Audio Source Separation With Probabilistic Reverberation Priors. - Simon Leglaive; Roland Badeau; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Semi-blind student's t source separation for multichannel audio convolutive mixtures. - Simon Leglaive; Roland Badeau; Gaël Richard (EUSIPCO, 2017)

Multichannel audio source separation: Variational inference of time-frequency sources from time-domain observations. - Simon Leglaive; Roland Badeau; Gaël Richard (ICASSP, 2017)

Alpha-stable multichannel audio source separation. - Simon Leglaive; Umut Simsekli; Antoine Liutkus; Roland Badeau; Gaël Richard (ICASSP, 2017)

Separating time-frequency sources from time-domain convolutive mixtures using non-negative matrix factorization. - Simon Leglaive; Roland Badeau; Gaël Richard (WASPAA, 2017)

Alpha-Stable Low-Rank Plus Residual Decomposition for Speech Enhancement. - Umut Simsekli; Halil Erdogan; Simon Leglaive; Antoine Liutkus; Roland Badeau; Gaël Richard (ICASSP, 2018)

A variance Modeling Framework based on variational Autoencoders for speech enhancement. - Simon Leglaive; Laurent Girin; Radu Horaud (MLSP, 2018)

Student's t Source and Mixing Models for Multichannel Audio Source Separation. - Simon Leglaive; Roland Badeau; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Semi-supervised Multichannel Speech Enhancement with Variational Autoencoders and Non-negative Matrix Factorization. - Simon Leglaive; Laurent Girin; Radu Horaud (ICASSP, 2019)

Speech Enhancement with Variational Autoencoders and Alpha-stable Distributions. - Simon Leglaive; Umut Simsekli; Antoine Liutkus; Laurent Girin; Radu Horaud (ICASSP, 2019)

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. - Mostafa Sadeghi; Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud (CoRR, 2019)

Audio-Noise Power Spectral Density Estimation Using Long Short-Term Memory. - Xiaofei Li 001; Simon Leglaive; Laurent Girin; Radu Horaud (IEEE Signal Process. Lett., 2019)

Localization Cues Preservation in Hearing Aids by Combining Noise Reduction and Dynamic Range Compression. - Adrien Llave; Simon Leglaive; Renaud Séguier (APSIPA, 2020)

A Recurrent Variational Autoencoder for Speech Enhancement. - Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud (ICASSP, 2020)

Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders. - Mostafa Sadeghi; Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

On Speech Sparsity for Computational Efficiency and Noise Reduction in Hearing Aids. - Adrien Llave; Simon Leglaive (APSIPA ASC, 2021)

A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling. - Xiaoyu Bie; Laurent Girin; Simon Leglaive; Thomas Hueber; Xavier Alameda-Pineda (Interspeech, 2021)

Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders. - Xiaoyu Bie; Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin (CoRR, 2021)

Dynamical Variational Autoencoders: A Comprehensive Review. - Laurent Girin; Simon Leglaive; Xiaoyu Bie; Julien Diard; Thomas Hueber; Xavier Alameda-Pineda (Found. Trends Mach. Learn., 2021)

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE. - Xiaoyu Bie; Wen Guo; Simon Leglaive; Laurent Girin; Francesc Moreno-Noguer; Xavier Alameda-Pineda (CoRR, 2022)

Expectation-Maximization Based Defense Mechanism for Distributed Model Predictive Control. - Rafael Accácio Nogueira; Romain Bourdais; Simon Leglaive; Hervé Guéguen (CoRR, 2022)

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders. - Xiaoyu Bie; Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Speech Modeling with a Hierarchical Transformer Dynamical VAE. - Xiaoyu Lin; Xiaoyu Bie; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda (ICASSP, 2023)

A Vector Quantized Masked Autoencoder for Speech Emotion Recognition. - Samir Sadok; Simon Leglaive; Renaud Séguier (ICASSP Workshops, 2023)

Unsupervised speech enhancement with deep dynamical generative speech and noise models. - Xiaoyu Lin; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda (INTERSPEECH, 2023)

Motion-DVAE: Unsupervised learning for fast human motion denoising. - Guénolé Fiche; Simon Leglaive; Xavier Alameda-Pineda; Renaud Séguier (MIG, 2023)

SwimXYZ: A large-scale dataset of synthetic swimming motions and videos. - Guénolé Fiche; Vincent Sevestre; Camila Gonzalez-Barral; Simon Leglaive; Renaud Séguier (MIG, 2023)

LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space. - Matthieu Delmas; Amine Kacete; Stéphane Paquelet; Simon Leglaive; Renaud Séguier (CoRR, 2023)

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. - Simon Leglaive; Léonie Borne; Efthymios Tzinis; Mostafa Sadeghi; Matthieu Fraticelli; Scott Wisdom; Manuel Pariente; Daniel Pressnitzer; John R. Hershey (CoRR, 2023)

Learning and controlling the source-filter representation of speech with a variational autoencoder. - Samir Sadok; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda; Renaud Séguier (Speech Commun., 2023)

VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space. - Guénolé Fiche; Simon Leglaive; Xavier Alameda-Pineda; Antonio Agudo; Francesc Moreno-Noguer (ECCV (52), 2024)

Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion. - Karim M. Ibrahim; Antony Perzo; Simon Leglaive (ICASSP, 2024)

A multimodal dynamical variational autoencoder for audiovisual speech representation learning. - Samir Sadok; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda; Renaud Séguier (Neural Networks, 2024)

MEGA: Masked Generative Autoencoder for Human Mesh Recovery. - Guénolé Fiche; Simon Leglaive; Xavier Alameda-Pineda; Francesc Moreno-Noguer (CVPR, 2025)

AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder. - Samir Sadok; Simon Leglaive; Laurent Girin; Gaël Richard; Xavier Alameda-Pineda (ICASSP, 2025)

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. - Simon Leglaive; Matthieu Fraticelli; Hend Elghazaly; Léonie Borne; Mostafa Sadeghi; Scott Wisdom; Manuel Pariente; John R. Hershey; Daniel Pressnitzer; Jon P. Barker (Comput. Speech Lang., 2025)

A vector quantized masked autoencoder for audiovisual speech emotion recognition. - Samir Sadok; Simon Leglaive; Renaud Séguier (Comput. Vis. Image Underst., 2025)