Mickaël Rouvier

823 total citations
32 papers, 232 citations indexed

About

Mickaël Rouvier is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mickaël Rouvier has authored 32 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mickaël Rouvier's work include Music and Audio Processing (18 papers), Speech Recognition and Synthesis (18 papers) and Speech and Audio Processing (15 papers). Mickaël Rouvier is often cited by papers focused on Music and Audio Processing (18 papers), Speech Recognition and Synthesis (18 papers) and Speech and Audio Processing (15 papers). Mickaël Rouvier collaborates with scholars based in France, Switzerland and Canada. Mickaël Rouvier's co-authors include Sylvain Meignier, Benoît Favre, Pierre-Michel Bousquet, Paul du Gay, Téva Merlin, Elie Khoury, Georges Linarès, Driss Matrouf, Yannick Estève and Yingbo Li and has published in prestigious journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing and EURASIP Journal on Audio Speech and Music Processing.

In The Last Decade

Mickaël Rouvier

30 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mickaël Rouvier France 8 172 136 68 9 9 32 232
M. Mahajan United States 8 220 1.3× 83 0.6× 29 0.4× 7 0.8× 14 1.6× 12 246
Marijn Huijbregts Netherlands 11 230 1.3× 210 1.5× 42 0.6× 4 0.4× 7 0.8× 23 278
Pavel Ircing Czechia 9 215 1.3× 52 0.4× 83 1.2× 11 1.2× 5 0.6× 41 295
Pierre Jourlin United Kingdom 10 226 1.3× 202 1.5× 100 1.5× 7 0.8× 21 2.3× 19 313
Steve Lowe United States 8 217 1.3× 94 0.7× 36 0.5× 5 0.6× 31 3.4× 11 237
S.F. Chen United States 6 276 1.6× 71 0.5× 25 0.4× 2 0.2× 8 0.9× 8 304
Rosa González Hautamäki Finland 9 276 1.6× 278 2.0× 40 0.6× 5 0.6× 22 2.4× 15 323
Guillaume Gravier France 7 73 0.4× 77 0.6× 84 1.2× 8 0.9× 5 0.6× 16 154
Adrià Giménez Spain 11 209 1.2× 63 0.5× 102 1.5× 4 0.4× 8 0.9× 23 272
Danish Pruthi United States 6 214 1.2× 43 0.3× 29 0.4× 16 1.8× 17 1.9× 12 231

Countries citing papers authored by Mickaël Rouvier

Since Specialization
Citations

This map shows the geographic impact of Mickaël Rouvier'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 Mickaël Rouvier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mickaël Rouvier more than expected).

Fields of papers citing papers by Mickaël Rouvier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mickaël Rouvier. 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 Mickaël Rouvier. The network helps show where Mickaël Rouvier may publish in the future.

Co-authorship network of co-authors of Mickaël Rouvier

This figure shows the co-authorship network connecting the top 25 collaborators of Mickaël Rouvier. A scholar is included among the top collaborators of Mickaël Rouvier 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 Mickaël Rouvier. Mickaël Rouvier 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.
Wang, Xin, Erica Cooper, Junichi Yamagishi, et al.. (2024). Synvox2: Towards A Privacy-Friendly Voxceleb2 Dataset. SPIRE - Sciences Po Institutional REpository. 11421–11425. 2 indexed citations
2.
Rouvier, Mickaël, et al.. (2024). ASVspoof 5 Challenge: advanced ResNet architectures for robust voice spoofing detection. 163–169. 1 indexed citations
3.
Dufour, Richard, et al.. (2023). DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
4.
Bousquet, Pierre-Michel & Mickaël Rouvier. (2023). Jeffreys Divergence-Based Regularization of Neural Network Output Distribution Applied to Speaker Recognition. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
5.
Dufour, Richard, et al.. (2023). DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains. 16207–16221. 9 indexed citations
6.
Rouvier, Mickaël & Pierre-Michel Bousquet. (2021). Studying Squeeze-and-Excitation Used in CNN for Speaker Verification. arXiv (Cornell University). 1110–1115. 4 indexed citations
7.
Rouvier, Mickaël, et al.. (2021). Study On the Temporal Pooling Used In Deep Neural Networks For Speaker Verification. 2021 29th European Signal Processing Conference (EUSIPCO). 501–505. 2 indexed citations
8.
Rouvier, Mickaël & Benoît Favre. (2016). SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis. 26 indexed citations
9.
Favre, Benoît, et al.. (2016). Multimodal embedding fusion for robust speaker role recognition in video broadcast. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Charlet, Delphine, MinYoung Kim, Benoît Favre, et al.. (2015). PERCOLATTE : A Multimodal Person Discovery System in TV Broadcast for the Medieval 2015 Evaluation Campaign.. MediaEval. 1 indexed citations
11.
Rouvier, Mickaël & Benoît Favre. (2014). Speaker adaptation of DNN-based ASR with i-vectors: does it actually adapt models to speakers?. 3007–3011. 2 indexed citations
12.
Béchet, Frédéric, Delphine Charlet, Géraldine Damnati, et al.. (2014). Multimodal understanding for person recognition in video broadcasts. 607–611. 7 indexed citations
13.
Rouvier, Mickaël, et al.. (2013). An open-source state-of-the-art toolbox for broadcast news diarization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1477–1481. 77 indexed citations
14.
Bougares, Fethi, Mickaël Rouvier, Yannick Estève, & Georges Linarès. (2012). Low latency combination of parallelized single-pass LVCSR systems. 1031–1034. 1 indexed citations
15.
Rouvier, Mickaël, et al.. (2012). I-vectors and ILP clustering adapted to cross-show speaker diarization. 2174–2177. 15 indexed citations
16.
Rouvier, Mickaël, et al.. (2011). Factor analysis based session variability compensation for Automatic Speech Recognition. 141–145. 2 indexed citations
17.
Rouvier, Mickaël, et al.. (2010). Système du LIA pour a campagne DEFT'10 : datation et localisation d'articles de presse francophones. HAL (Le Centre pour la Communication Scientifique Directe).
18.
Matrouf, Driss, et al.. (2010). Modeling nuisance variabilities with factor analysis for GMM-based audio pattern classification. Computer Speech & Language. 25(3). 481–498. 1 indexed citations
19.
Rouvier, Mickaël, Georges Linarès, & Benjamin Lecouteux. (2010). Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech. EURASIP Journal on Audio Speech and Music Processing. 2010. 1–9. 2 indexed citations
20.
Rouvier, Mickaël, Georges Linarès, & Driss Matrouf. (2009). Robust audio-based classification of video genre. 1159–1162. 3 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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