Claude Barras

1.4k total citations
32 papers, 519 citations indexed

About

Claude Barras is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Claude Barras has authored 32 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Claude Barras's work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). Claude Barras is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). Claude Barras collaborates with scholars based in France and Germany. Claude Barras's co-authors include Zhibiao Wu, Edouard Geoffrois, Mark Liberman, Hervé Bredin, Jean‐Luc Gauvain, Xuan Zhu, Sylvain Meignier, Lori Lamel, Jean-Sylvain Liénard and Hervé Bredin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Signal Processing Letters.

In The Last Decade

Claude Barras

29 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claude Barras France 11 409 244 71 58 46 32 519
Edouard Geoffrois France 9 422 1.0× 170 0.7× 102 1.4× 115 2.0× 57 1.2× 17 551
Susanne Burger United States 16 444 1.1× 207 0.8× 140 2.0× 151 2.6× 46 1.0× 49 657
Hanae Koiso Japan 10 548 1.3× 99 0.4× 196 2.8× 36 0.6× 184 4.0× 22 704
Richard Winski Türkiye 4 232 0.6× 67 0.3× 77 1.1× 22 0.4× 33 0.7× 7 302
Rodolfo Delmonte Italy 11 462 1.1× 38 0.2× 106 1.5× 33 0.6× 69 1.5× 144 541
Chiu-yu Tseng Taiwan 14 547 1.3× 209 0.9× 366 5.2× 61 1.1× 61 1.3× 78 698
Dmitriy Genzel United States 9 380 0.9× 73 0.3× 38 0.5× 75 1.3× 46 1.0× 14 483
Jonathan Allen United States 7 267 0.7× 96 0.4× 151 2.1× 25 0.4× 31 0.7× 13 380
Christine H. Nakatani United States 11 487 1.2× 63 0.3× 213 3.0× 26 0.4× 98 2.1× 25 611
Wayne A. Lea United States 7 365 0.9× 167 0.7× 163 2.3× 29 0.5× 21 0.5× 30 477

Countries citing papers authored by Claude Barras

Since Specialization
Citations

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

Fields of papers citing papers by Claude Barras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude Barras

This figure shows the co-authorship network connecting the top 25 collaborators of Claude Barras. A scholar is included among the top collaborators of Claude Barras 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 Claude Barras. Claude Barras 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.
Barras, Claude, et al.. (2023). Survey on Narrative Structure: from Linguistic Theories to Automatic Extraction Approaches. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
2.
Barras, Claude, et al.. (2023). Multilingual Models with Language Embeddings for Low-resource Speech Recognition. SPIRE - Sciences Po Institutional REpository. 83–87. 1 indexed citations
3.
4.
Bredin, Hervé, et al.. (2018). Neural Speech Turn Segmentation and Affinity Propagation for Speaker Diarization. HAL (Le Centre pour la Communication Scientifique Directe). 16 indexed citations
5.
Bredin, Hervé, et al.. (2017). Speaker Change Detection in Broadcast TV Using Bidirectional Long Short-Term Memory Networks. SPIRE - Sciences Po Institutional REpository. 3827–3831. 42 indexed citations
6.
Bredin, Hervé, et al.. (2017). Multimodal person discovery in broadcast TV: lessons learned from MediaEval 2015. Multimedia Tools and Applications. 76(21). 22547–22567. 3 indexed citations
7.
Vapnarsky, Valentina, et al.. (2015). Analysing rhythm in ritual discourse in yucatec maya using automatic speech alignment. SPIRE - Sciences Po Institutional REpository. 344–348.
8.
Sarkar, Achintya Kumar, et al.. (2014). Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification. IEEE Signal Processing Letters. 21(9). 1040–1044. 19 indexed citations
9.
Roy, Anindya, et al.. (2014). Lexical speaker identification in TV shows. Multimedia Tools and Applications. 74(4). 1377–1396. 3 indexed citations
10.
Bredin, Hervé, et al.. (2014). Person instance graphs for mono-, cross- and multi-modal person recognition in multimedia data: application to speaker identification in TV broadcast. International Journal of Multimedia Information Retrieval. 3(3). 161–175. 11 indexed citations
11.
Bredin, Hervé, Guillaume Fortier, Makarand Tapaswi, et al.. (2013). QCompere @ REPERE 2013. SPIRE - Sciences Po Institutional REpository. 49–54. 3 indexed citations
12.
Barras, Claude, et al.. (2012). Cochlear implant-like processing of speech signal for speaker verification.. Conference of the International Speech Communication Association. 17–21. 2 indexed citations
13.
Barras, Claude, et al.. (2011). Comparing multi-stage approaches for cross-show speaker diarization. HAL (Le Centre pour la Communication Scientifique Directe). 1053–1056. 20 indexed citations
14.
Leung, Cheung-Chi, et al.. (2008). Comparing prosodic models for speaker recognition. SPIRE - Sciences Po Institutional REpository. 1945–1948. 7 indexed citations
15.
Luo, Jun, et al.. (2008). Parallelized factor analysis and feature normalization for automatic speaker verification. SPIRE - Sciences Po Institutional REpository. 1409–1412.
16.
Zhu, Xuan, Claude Barras, Lori Lamel, & Jean‐Luc Gauvain. (2007). Multi-stage Speaker Diarization for Conference and Lecture Meetings.. HAL (Le Centre pour la Communication Scientifique Directe). 533–542. 3 indexed citations
17.
Barras, Claude, Gilles Adda, Martine Adda‐Decker, et al.. (2004). Automatic Audio and Manual Transcripts Alignment, Time-code Transfer and Selection of Exact Transcripts. Language Resources and Evaluation. 2 indexed citations
18.
Barras, Claude, Alexandre Allauzen, Lori Lamel, & Jean‐Luc Gauvain. (2002). Transcribing audio-video archives. IEEE International Conference on Acoustics Speech and Signal Processing. I–13. 9 indexed citations
19.
Gauvain, Jean‐Luc, et al.. (2001). Processing broadcast audio for information access. 2–9. 1 indexed citations
20.
Barras, Claude, Edouard Geoffrois, Zhibiao Wu, & Mark Liberman. (1998). Transcriber: a free tool for segmenting, labeling and transcribing speech. Language Resources and Evaluation. 1373–1376. 41 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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