Hervé Bourlard

8.3k total citations · 2 hit papers
299 papers, 5.6k citations indexed

About

Hervé Bourlard is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hervé Bourlard has authored 299 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 233 papers in Artificial Intelligence, 220 papers in Signal Processing and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hervé Bourlard's work include Speech Recognition and Synthesis (207 papers), Speech and Audio Processing (205 papers) and Music and Audio Processing (122 papers). Hervé Bourlard is often cited by papers focused on Speech Recognition and Synthesis (207 papers), Speech and Audio Processing (205 papers) and Music and Audio Processing (122 papers). Hervé Bourlard collaborates with scholars based in Switzerland, United States and Germany. Hervé Bourlard's co-authors include Nelson Morgan, Alessandro Vinciarelli, Maja Pantić, Philip N. Garner, Mathew Magimai.-Doss, Samy Bengio, Iain McCowan, Afsaneh Asaei, David Imseng and Stéphane Dupont and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and Pattern Recognition.

In The Last Decade

Hervé Bourlard

282 papers receiving 4.8k citations

Hit Papers

Connectionist Speech Recognition: A Hybrid Approach 1993 2026 2004 2015 1993 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hervé Bourlard Switzerland 31 4.0k 3.5k 971 564 309 299 5.6k
Steve Renals United Kingdom 43 6.3k 1.6× 3.8k 1.1× 1.1k 1.1× 811 1.4× 186 0.6× 281 8.0k
James Glass United States 48 7.9k 2.0× 5.0k 1.4× 1.5k 1.5× 773 1.4× 242 0.8× 335 10.0k
Alexandros Potamianos Greece 34 2.4k 0.6× 1.6k 0.5× 727 0.7× 1.0k 1.8× 285 0.9× 169 4.1k
Keiichi Tokuda Japan 43 5.7k 1.4× 4.7k 1.3× 826 0.9× 891 1.6× 126 0.4× 291 6.7k
Kiyohiro Shikano Japan 36 4.9k 1.2× 5.2k 1.5× 975 1.0× 385 0.7× 151 0.5× 417 7.4k
Andreas Stolcke United States 50 10.7k 2.7× 3.6k 1.0× 1.1k 1.1× 1.2k 2.1× 460 1.5× 230 12.0k
Felix Weninger Germany 30 2.2k 0.6× 2.4k 0.7× 658 0.7× 1.5k 2.6× 352 1.1× 100 4.2k
Ron J. Weiss United States 31 3.9k 1.0× 3.8k 1.1× 1.2k 1.3× 328 0.6× 71 0.2× 53 6.2k
Tatsuya Kawahara Japan 29 3.3k 0.8× 1.7k 0.5× 454 0.5× 525 0.9× 455 1.5× 410 4.4k
Mathew Magimai.-Doss Switzerland 25 2.2k 0.6× 1.9k 0.5× 727 0.7× 360 0.6× 59 0.2× 180 3.8k

Countries citing papers authored by Hervé Bourlard

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Bourlard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Bourlard

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Bourlard. A scholar is included among the top collaborators of Hervé Bourlard 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 Hervé Bourlard. Hervé Bourlard 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.
Ram, Dhananjay, Afsaneh Asaei, & Hervé Bourlard. (2018). Sparse Subspace Modeling for Query by Example Spoken Term Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(6). 1130–1143. 9 indexed citations
2.
Bourlard, Hervé. (2018). Evolution of Neural Network Architectures for Speech Recognition.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1767. 1 indexed citations
3.
Kodrasi, Ina & Hervé Bourlard. (2018). Statistical Modeling of Speech Spectral Coefficients in Patients with Parkinson's Disease.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 6 indexed citations
4.
Asaei, Afsaneh, et al.. (2016). Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7 indexed citations
5.
Asaei, Afsaneh, et al.. (2015). Sparse modeling of neural network posterior probabilities for exemplar-based speech recognition. Speech Communication. 76. 230–244. 1 indexed citations
6.
Bourlard, Hervé, Nikolaos Pappas, Andréi Popescu-Belis, et al.. (2013). Processing and Linking Audio Events in Large Multimedia Archives: The EU inEvent Project. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3–8. 7 indexed citations
7.
Motlíček, Petr, et al.. (2011). Just-in-time multimodal association and fusion from home entertainment. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 5 indexed citations
8.
Popescu-Belis, Andréi, et al.. (2008). Machine Learning for Multimodal Interaction : 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007 : revised selected papers. Springer eBooks. 1 indexed citations
9.
Bengio, Samy, et al.. (2005). Machine Learning for Multimodal Interaction (vol. # 3361) : First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers. Springer eBooks. 2 indexed citations
10.
Tyagi, Vivek & Hervé Bourlard. (2003). On Multi-scale Fourier Transform Analysis of Speech Signals. Multidisciplinary Respiratory Medicine. 10(1). 27–27. 4 indexed citations
11.
Weber, Katrin, Samy Bengio, & Hervé Bourlard. (2001). HMM2- Extraction of Formant Features and their Use for Robust ASR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 607–610. 21 indexed citations
12.
Weber, Katrin, Samy Bengio, & Hervé Bourlard. (2001). Increasing Speech Recognition Noise Robustness with HMM2. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
13.
Chen, Datong & Hervé Bourlard. (2001). Video OCR for Sport Video Annotation and Retrieval. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 57–62. 3 indexed citations
14.
Bourlard, Hervé, Samy Bengio, & Katrin Weber. (2000). New Approaches Towards Robust and Adaptive Speech Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 13. 751–757. 4 indexed citations
15.
Bourlard, Hervé & Nelson Morgan. (1998). Speech recognition: pattern matching. MIT Press eBooks. 913–918. 2 indexed citations
16.
Bourlard, Hervé, et al.. (1997). SWISSCOM ``AVIS'' PROJECT (No. 392) Advanced Vocal Interfaces Services. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 122(3). 145–50. 1 indexed citations
17.
Konig, Yochai, Hervé Bourlard, & Nelson Morgan. (1995). REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition. Neural Information Processing Systems. 8. 388–394. 30 indexed citations
18.
Bourlard, Hervé & Nelson Morgan. (1993). Connectionist Speech Recognition: A Hybrid Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 806 indexed citations breakdown →
19.
Renals, Steve, Nelson Morgan, Hervé Bourlard, Horacio Franco, & Michael Cohen. (1991). Connectionist Optimisation of Tied Mixture Hidden Markov Models. Neural Information Processing Systems. 4. 167–174. 1 indexed citations
20.
Bourlard, Hervé & C. Wellekens. (1988). Links Between Markov Models and Multilayer Perceptrons. Neural Information Processing Systems. 1. 502–510. 26 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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