H. Bourlard

5.2k total citations · 1 hit paper
65 papers, 3.2k citations indexed

About

H. Bourlard is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, H. Bourlard has authored 65 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 53 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in H. Bourlard's work include Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (45 papers) and Music and Audio Processing (26 papers). H. Bourlard is often cited by papers focused on Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (45 papers) and Music and Audio Processing (26 papers). H. Bourlard collaborates with scholars based in Switzerland, United States and Belgium. H. Bourlard's co-authors include Y. Kamp, N. Morgan, Iain McCowan, C. Wellekens, Stéphane Dupont, Hemant Misra, Shajith Ikbal, Steve Renals, Datong Chen and Hynek Heřmanský and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Magazine and Biological Cybernetics.

In The Last Decade

H. Bourlard

64 papers receiving 2.8k citations

Hit Papers

Auto-association by multilayer perceptrons and singular v... 1988 2026 2000 2013 1988 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
H. Bourlard Switzerland 26 2.1k 1.8k 695 248 160 65 3.2k
B.-H. Juang United States 27 3.0k 1.4× 2.5k 1.4× 969 1.4× 198 0.8× 138 0.9× 64 4.2k
Françoise Beaufays United States 21 2.1k 1.0× 1.2k 0.7× 481 0.7× 164 0.7× 144 0.9× 65 3.5k
Bhuvana Ramabhadran United States 34 4.4k 2.1× 2.7k 1.5× 938 1.3× 134 0.5× 135 0.8× 220 5.6k
Joe Frankel United Kingdom 18 1.3k 0.6× 1.1k 0.6× 571 0.8× 184 0.7× 142 0.9× 38 2.5k
Eng Siong Chng Singapore 33 3.2k 1.5× 3.2k 1.8× 768 1.1× 267 1.1× 170 1.1× 323 4.7k
Roberto Togneri Australia 25 1.1k 0.5× 1.3k 0.7× 1.5k 2.2× 536 2.2× 76 0.5× 176 3.2k
Özgür Çetin United States 12 919 0.4× 780 0.4× 549 0.8× 192 0.8× 120 0.8× 27 2.0k
Alexander Waibel United States 21 2.2k 1.1× 1.4k 0.8× 852 1.2× 56 0.2× 159 1.0× 95 3.3k
Michael L. Seltzer United States 29 3.2k 1.5× 3.0k 1.7× 585 0.8× 435 1.8× 227 1.4× 99 4.4k
Frank Seide China 24 3.5k 1.6× 2.1k 1.2× 765 1.1× 126 0.5× 81 0.5× 95 4.3k

Countries citing papers authored by H. Bourlard

Since Specialization
Citations

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

Fields of papers citing papers by H. Bourlard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Bourlard

This figure shows the co-authorship network connecting the top 25 collaborators of H. Bourlard. A scholar is included among the top collaborators of H. 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 H. Bourlard. H. 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.
Bourlard, H., et al.. (2006). Using Pitch as Prior Knowledge in Template-Based Speech Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. I–445. 3 indexed citations
2.
BenZeghiba, Mohamed Faouzi & H. Bourlard. (2004). Confidence measures in multiple pronunciations modeling for speaker verification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. I–389. 1 indexed citations
3.
Ikbal, Shajith, Hemant Misra, H. Bourlard, & Hynek Heřmanský. (2004). Phase autocorrelation (PAC) features in entropy based multi-stream for robust speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. I–205. 6 indexed citations
4.
Tyagi, Vivek, Iain McCowan, Hemant Misra, & H. Bourlard. (2004). Mel-cepstrum modulation spectrum (MCMS) features for robust ASR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 399–404. 40 indexed citations
5.
McCowan, Iain, Samy Bengio, Daniel Gática-Pérez, et al.. (2004). Modeling human interaction in meetings. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 4. IV–748. 84 indexed citations
6.
Bourlard, H. & C. Wellekens. (2003). Speech dynamics and recurrent neural networks. International Conference on Acoustics, Speech, and Signal Processing. 33–36. 7 indexed citations
7.
Magimai.-Doss, Mathew, et al.. (2003). Mixed Bayesian networks with auxiliary variables for automatic speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4. 293–296. 4 indexed citations
8.
Chen, Datong, et al.. (2003). Text segmentation and recognition in complex background based on Markov random field. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4. 227–230. 20 indexed citations
9.
Ikbal, Shajith, Hemant Misra, & H. Bourlard. (2003). Phase autocorrelation (PAC) derived robust speech features. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–133. 40 indexed citations
10.
Escofet, Jaume, et al.. (2003). Dynamic Bayesian network based speech recognition with pitch and energy as auxiliary variables. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4. 637–646. 9 indexed citations
11.
Konig, Yochai, H. Bourlard, & N. Morgan. (2002). REMAP-experiments with speech recognition. 6. 3350–3353. 3 indexed citations
12.
Bourlard, H., et al.. (2002). Adaptive ML-weighting in multi-band recombination of Gaussian mixture ASR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 257–260. 6 indexed citations
13.
Bilmes, Jeffrey A., N. Morgan, Su-Lin Wu, & H. Bourlard. (2002). Stochastic perceptual speech models with durational dependence. 3. 1301–1304. 8 indexed citations
14.
Renals, Steve, N. Morgan, & H. Bourlard. (2002). Probability estimation by feed-forward networks in continuous speech recognition. 2. 309–318. 5 indexed citations
15.
Chen, Datong, Kim Shearer, & H. Bourlard. (2002). Text enhancement with asymmetric filter for video OCR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 192–197. 45 indexed citations
16.
Bourlard, H., Yochai Konig, & N. Morgan. (1996). A training algorithm for statistical sequence recognition with applications to transition-based speech recognition. IEEE Signal Processing Letters. 3(7). 203–205. 7 indexed citations
17.
Bourlard, H. & N. Morgan. (1993). Continuous speech recognition by connectionist statistical methods. IEEE Transactions on Neural Networks. 4(6). 893–909. 63 indexed citations
18.
Morgan, N. & H. Bourlard. (1989). Generalization and Parameter Estimation in Feedforward Nets: Some Experiments. Neural Information Processing Systems. 2. 630–637. 153 indexed citations
19.
Bourlard, H. & C. Wellekens. (1989). Speech pattern discrimination and multilayer perceptrons. Computer Speech & Language. 3(1). 1–19. 55 indexed citations
20.
Bourlard, H. & Y. Kamp. (1988). Auto-association by multilayer perceptrons and singular value decomposition. Biological Cybernetics. 59(4-5). 291–294. 833 indexed citations breakdown →

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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