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Simon Leglaive — most-cited papers & profile · Speech Audio
← authors
·
overview
Simon Leglaive
18
papers ·
15
citations ·
15
h-index
Centre National de la Recherche Scientifique · Institut d'Électronique et des Technologies du numéRique · CentraleSupélec
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Most-cited papers
AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder
2025 · 8 citations
A vector quantized masked autoencoder for audiovisual speech emotion recognition
2023 · 5 citations
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
2023 · 1 citations
Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization
2018
A variance modeling framework based on variational autoencoders for speech enhancement
2019
Speech enhancement with variational autoencoders and alpha-stable distributions
2019
Audio-noise Power Spectral Density Estimation Using Long Short-term Memory
2019
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders
2019
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
2021
Learning and controlling the source-filter representation of speech with a variational autoencoder
2022
Speech Modeling with a Hierarchical Transformer Dynamical VAE
2023
A vector quantized masked autoencoder for speech emotion recognition
2023
Unsupervised speech enhancement with deep dynamical generative speech and noise models
2023
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement
2023
Top co-authors
Laurent Girin
· 10
Xavier Alameda-Pineda
· 8
Samir Sadok
· 5
Renaud S\'eguier
· 4
Mostafa Sadeghi
· 3
Radu Horaud
· 3
Xiaoyu Bie
· 3
Daniel Pressnitzer
· 2
John R. Hershey
· 2
Laurent Girin and Radu Horaud
· 2
L\'eonie Borne
· 2
Manuel Pariente
· 2
Topics
Speech Enhancement
Audio Understanding
Speech Recognition
Text-to-Speech
Multimodal Audio
Speaker Analysis
Audio Generation
Music Generation