Simon Leglaive
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
Papers in
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- Speech and Audio Processing 31
- Music and Audio Processing 22
- Blind Source Separation Techniques 9
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- Speech Recognition and Synthesis 17
- Co-authors
- Laurent Girin (15 shared papers)Xavier Alameda-Pineda (14 shared papers)Radu Horaud (5 shared papers)Xiaoyu Bie (5 shared papers)Roland Badeau (11 shared papers)Thomas Hueber (4 shared papers)Julien Diard (2 shared papers)Romain Hennequin (1 shared paper)
In The Last Decade
Simon Leglaive
37 papers receiving 665 citations
Peers
Comparison fields: 5 of 89
- Signal Processing 443
- Artificial Intelligence 299
- Computer Vision and Pattern Recognition 137
- Computational Mechanics 110
- Computational Mathematics 3
Countries citing papers authored by Simon Leglaive
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
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-authors
The 23 scholars most cited alongside Simon Leglaive, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 124 | |
| 2 | 2015 | 68 | |
| 3 | 2020 | 65 | |
| 4 | 2020 | 57 | |
| 5 | 2021 | 55 | |
| 6 | 2019 | 53 | |
| 7 | 2022 | 49 | |
| 8 | 2019 | 33 | |
| 9 | 2023 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2016 | 14 | |
| 12 | 2023 | 14 | |
| 13 | Notes on the use of variational autoencoders for speech and audio spectrogram modeling | 2019 | 11 |
| 14 | 2024 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2023 | 6 |
About Simon Leglaive
Simon Leglaive is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 37 papers that have together received 697 indexed citations. Recurring topics across this work include Speech and Audio Processing (31 papers), Music and Audio Processing (22 papers), Speech Recognition and Synthesis (17 papers), Blind Source Separation Techniques (9 papers), Advanced Adaptive Filtering Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Emotion and Mood Recognition (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Signal Processing (443 citations), Artificial Intelligence (299 citations), Computer Vision and Pattern Recognition (137 citations), Computational Mechanics (110 citations) and Computational Mathematics (3 citations). Simon Leglaive has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include Laurent Girin, Xavier Alameda-Pineda, Radu Horaud, Xiaoyu Bie, Roland Badeau, Thomas Hueber, Julien Diard, Romain Hennequin, Gaël Richard and Renaud Séguier. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Neural Networks, Computer Speech & Language, Speech Communication and IEEE Signal Processing Letters.
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.