Sylvain Meignier

2.8k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

Sylvain Meignier is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sylvain Meignier has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 27 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sylvain Meignier's work include Speech Recognition and Synthesis (35 papers), Music and Audio Processing (23 papers) and Speech and Audio Processing (21 papers). Sylvain Meignier is often cited by papers focused on Speech Recognition and Synthesis (35 papers), Music and Audio Processing (23 papers) and Speech and Audio Processing (21 papers). Sylvain Meignier collaborates with scholars based in France, United States and Switzerland. Sylvain Meignier's co-authors include Jean-François Bonastre, Téva Merlin, Corinne Fredouille, Ivan Magrin‐Chagnolleau, Frédéric Bimbot, Douglas A. Reynolds, Guillaume Gravier, Javier Ortega-García, Dijana Petrovska‐Delacrétaz and Xuan Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Sylvain Meignier

39 papers receiving 994 citations

Hit Papers

A Tutorial on Text-Independent Speaker Verification 2004 2026 2011 2018 2004 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Meignier France 14 949 871 183 45 36 39 1.1k
Téva Merlin France 7 573 0.6× 548 0.6× 118 0.6× 42 0.9× 26 0.7× 16 706
Dijana Petrovska‐Delacrétaz France 11 469 0.5× 601 0.7× 219 1.2× 159 3.5× 31 0.9× 42 765
Michael Pucher Austria 12 409 0.4× 407 0.5× 87 0.5× 43 1.0× 65 1.8× 40 576
Hagai Aronowitz Israel 16 612 0.6× 610 0.7× 200 1.1× 27 0.6× 96 2.7× 51 837
Yanzhang He United States 15 829 0.9× 574 0.7× 71 0.4× 30 0.7× 20 0.6× 42 936
Suyoun Kim United States 12 1.1k 1.2× 804 0.9× 103 0.6× 15 0.3× 48 1.3× 24 1.3k
Sachin Kajarekar United States 20 1.3k 1.3× 1.2k 1.4× 119 0.7× 28 0.6× 84 2.3× 52 1.4k
Longbiao Wang China 16 603 0.6× 623 0.7× 89 0.5× 15 0.3× 139 3.9× 62 771
František Grézl Czechia 20 1.5k 1.6× 1.3k 1.4× 127 0.7× 22 0.5× 74 2.1× 48 1.6k
Zhengqi Wen China 18 706 0.7× 600 0.7× 180 1.0× 11 0.2× 174 4.8× 102 983

Countries citing papers authored by Sylvain Meignier

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Meignier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Meignier

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Meignier. A scholar is included among the top collaborators of Sylvain Meignier 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 Sylvain Meignier. Sylvain Meignier 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.
Barrault, Loïc, et al.. (2022). Active Correction for Incremental Speaker Diarization of a Collection with Human in the Loop. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
2.
Barrault, Loïc, et al.. (2022). Active Correction for Incremental Speaker Diarization of a Collection with Human in the Loop. Applied Sciences. 12(4). 1782–1782. 2 indexed citations
3.
Tahon, Marie, et al.. (2022). Overlapped speech and gender detection with WavLM pre-trained features. Interspeech 2022. 5010–5014. 7 indexed citations
4.
Larcher, Anthony, Ambuj Mehrish, Marie Tahon, et al.. (2021). Speaker Embeddings for Diarization of Broadcast Data In The Allies Challenge. ARCA (Università Ca' Foscari Venezia). 5799–5803. 1 indexed citations
5.
Camelin, Nathalie, et al.. (2021). End2End Acoustic to Semantic Transduction. arXiv (Cornell University). 7448–7452. 3 indexed citations
6.
Doukhan, David, et al.. (2018). Computer-assisted Speaker Diarization: How to Evaluate Human Corrections.. Language Resources and Evaluation. 1 indexed citations
7.
Larcher, Anthony, et al.. (2018). S4D: Speaker Diarization Toolkit in Python. 1368–1372. 7 indexed citations
8.
Lee, Kong Aik, Haizhou Li, Li Deng, et al.. (2016). The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. SPIRE - Sciences Po Institutional REpository. 3211–3215. 17 indexed citations
9.
Meignier, Sylvain, et al.. (2014). Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization. 187–193. 6 indexed citations
10.
Meignier, Sylvain, et al.. (2014). Is incremental cross-show speaker diarization efficient for processing large volumes of data?. 587–591. 1 indexed citations
11.
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
12.
Laurent, Antoine, Téva Merlin, & Sylvain Meignier. (2008). Combined systems for automatic phonetic transcription of proper nouns. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
13.
Estève, Yannick, et al.. (2007). Extracting true speaker identities from transcriptions. 2601–2604. 11 indexed citations
14.
Deléglise, Paul, Yannick Estève, Sylvain Meignier, & Téva Merlin. (2005). The LIUM speech transcription system: a CMU Sphinx III-based system for French broadcast news. 1653–1656. 32 indexed citations
15.
Bimbot, Frédéric, Jean-François Bonastre, Corinne Fredouille, et al.. (2004). A Tutorial on Text-Independent Speaker Verification. SHILAP Revista de lepidopterología. 28 indexed citations
16.
Besacier, Laurent, Aladdin Ariyaeeinia, John S. Mason, et al.. (2004). Voice Biometrics over the Internet in the Framework of COST Action 275. EURASIP Journal on Advances in Signal Processing. 2004(4). 9 indexed citations
17.
Moraru, Daniel, Sylvain Meignier, Corinne Fredouille, Laurent Besacier, & Jean-François Bonastre. (2004). The ELISA consortium approaches in broadcast news speaker segmentation during the NIST 2003 rich transcription evaluation. 1. I–373. 33 indexed citations
18.
Bimbot, Frédéric, Jean-François Bonastre, Corinne Fredouille, et al.. (2004). A Tutorial on Text-Independent Speaker Verification. EURASIP Journal on Advances in Signal Processing. 2004(4). 467 indexed citations breakdown →
19.
Besacier, Laurent, Pedro Mayorga, Jean-François Bonastre, Corinne Fredouille, & Sylvain Meignier. (2003). Overview of compression and packet loss effects in speech biometrics. IEE Proceedings - Vision Image and Signal Processing. 150(6). 372–372. 11 indexed citations
20.
Meignier, Sylvain, Jean-François Bonastre, & Ivan Magrin‐Chagnolleau. (2002). Speaker utterances tying among speaker segmented audio documents using hierarchical classification: towards speaker indexing of audio databases. 577–580. 11 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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