Simon Leglaive

968 total citations
20 papers, 352 citations indexed

About

Simon Leglaive is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Simon Leglaive has authored 20 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 13 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Simon Leglaive's work include Speech and Audio Processing (17 papers), Music and Audio Processing (14 papers) and Speech Recognition and Synthesis (12 papers). Simon Leglaive is often cited by papers focused on Speech and Audio Processing (17 papers), Music and Audio Processing (14 papers) and Speech Recognition and Synthesis (12 papers). Simon Leglaive collaborates with scholars based in France, Belgium and United States. Simon Leglaive's co-authors include Laurent Girin, Xavier Alameda-Pineda, Xiaoyu Bie, Radu Horaud, Thomas Hueber, Julien Diard, Mostafa Sadeghi, Renaud Séguier, Roland Badeau and Gaël Richard and has published in prestigious journals such as Neural Networks, IEEE Signal Processing Letters and Computer Vision and Image Understanding.

In The Last Decade

Simon Leglaive

19 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simon Leglaive France 8 185 163 66 43 32 20 352
Zhanlei Yang China 10 122 0.7× 185 1.1× 62 0.9× 17 0.4× 16 0.5× 23 329
Cássia Valentini Botinhão United Kingdom 4 118 0.6× 114 0.7× 65 1.0× 35 0.8× 34 1.1× 8 318
Pavel Golik Germany 11 296 1.6× 399 2.4× 81 1.2× 15 0.3× 24 0.8× 19 545
R. Coelho Brazil 10 235 1.3× 111 0.7× 64 1.0× 47 1.1× 26 0.8× 32 331
Tetsuji Ogawa Japan 13 309 1.7× 352 2.2× 112 1.7× 52 1.2× 27 0.8× 98 581
Dongchao Yang China 9 145 0.8× 133 0.8× 108 1.6× 15 0.3× 16 0.5× 32 322
A.C. Lindgren United States 8 163 0.9× 140 0.9× 26 0.4× 10 0.2× 35 1.1× 8 302
D. Govind India 13 264 1.4× 283 1.7× 76 1.2× 17 0.4× 19 0.6× 56 449
Xiaoyu Bie France 5 68 0.4× 102 0.6× 61 0.9× 21 0.5× 12 0.4× 6 222
K. K. Chin United Kingdom 10 426 2.3× 423 2.6× 34 0.5× 71 1.7× 35 1.1× 26 569

Countries citing papers authored by Simon Leglaive

Since Specialization
Citations

This map shows the geographic impact of Simon Leglaive's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Leglaive with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Leglaive more than expected).

Fields of papers citing papers by Simon Leglaive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Leglaive. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Leglaive. The network helps show where Simon Leglaive may publish in the future.

Co-authorship network of co-authors of Simon Leglaive

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Leglaive. A scholar is included among the top collaborators of Simon Leglaive based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Leglaive. Simon Leglaive is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leglaive, Simon, et al.. (2025). A vector quantized masked autoencoder for audiovisual speech emotion recognition. Computer Vision and Image Understanding. 257. 104362–104362. 1 indexed citations
2.
Leglaive, Simon, et al.. (2025). AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder. arXiv (Cornell University). 1–5. 1 indexed citations
3.
Leglaive, Simon, et al.. (2025). MEGA: Masked Generative Autoencoder for Human Mesh Recovery. 5366–5378.
4.
Leglaive, Simon, et al.. (2024). A multimodal dynamical variational autoencoder for audiovisual speech representation learning. Neural Networks. 172. 106120–106120. 6 indexed citations
5.
Leglaive, Simon, Mostafa Sadeghi, Scott Wisdom, et al.. (2024). Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. Computer Speech & Language. 89. 101685–101685. 4 indexed citations
6.
Leglaive, Simon, et al.. (2024). Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion. SPIRE - Sciences Po Institutional REpository. 10636–10640. 6 indexed citations
7.
Leglaive, Simon, et al.. (2023). Learning and controlling the source-filter representation of speech with a variational autoencoder. Speech Communication. 148. 53–65. 6 indexed citations
8.
Lin, Xiaoyu, Xiaoyu Bie, Simon Leglaive, Laurent Girin, & Xavier Alameda-Pineda. (2023). Speech Modeling with a Hierarchical Transformer Dynamical VAE. HAL (Le Centre pour la Communication Scientifique Directe). 1–5. 1 indexed citations
9.
Leglaive, Simon, et al.. (2023). A Vector Quantized Masked Autoencoder for Speech Emotion Recognition. 1–5. 16 indexed citations
10.
Lin, Xiaoyu, Simon Leglaive, Laurent Girin, & Xavier Alameda-Pineda. (2023). Unsupervised speech enhancement with deep dynamical generative speech and noise models. arXiv (Cornell University). 5102–5106. 3 indexed citations
11.
Bie, Xiaoyu, Simon Leglaive, Xavier Alameda-Pineda, & Laurent Girin. (2022). Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2993–3007. 42 indexed citations
12.
13.
Girin, Laurent, Simon Leglaive, Xiaoyu Bie, et al.. (2021). Dynamical Variational Autoencoders: A Comprehensive Review. arXiv (Cornell University). 15(1-2). 1–175. 96 indexed citations
14.
Bie, Xiaoyu, Laurent Girin, Simon Leglaive, Thomas Hueber, & Xavier Alameda-Pineda. (2021). A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling. HAL (Le Centre pour la Communication Scientifique Directe). 46–50. 4 indexed citations
15.
Girin, Laurent, Simon Leglaive, Xiaoyu Bie, et al.. (2021). Dynamical Variational Autoencoders: A Comprehensive Review. 41 indexed citations
16.
Sadeghi, Mostafa, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, & Radu Horaud. (2020). Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1788–1800. 43 indexed citations
17.
Leglaive, Simon, Xavier Alameda-Pineda, Laurent Girin, & Radu Horaud. (2020). A Recurrent Variational Autoencoder for Speech Enhancement. HAL (Le Centre pour la Communication Scientifique Directe). 371–375. 59 indexed citations
18.
Li, Xiaofei, Simon Leglaive, Laurent Girin, & Radu Horaud. (2019). Audio-Noise Power Spectral Density Estimation Using Long Short-Term Memory. IEEE Signal Processing Letters. 26(6). 918–922. 7 indexed citations
19.
Leglaive, Simon, Roland Badeau, & Gaël Richard. (2018). Student's t Source and Mixing Models for Multichannel Audio Source Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(6). 1154–1168. 6 indexed citations
20.
Leglaive, Simon, Roland Badeau, & Gaël Richard. (2016). Multichannel Audio Source Separation With Probabilistic Reverberation Priors. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(12). 2453–2465. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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