Paul Deléglise
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
- Co-authors
- Yannick EstèveAnthony RousseauAlexandrina RogozanSylvain MeignierTéva MerlinAntoine LaurentFrédéric BimbotFethi Bougares
- Topics
- Speech Recognition and Synthesis (25 papers)Natural Language Processing Techniques (16 papers)Speech and Audio Processing (14 papers)
- Journals
- Speech CommunicationComputer Speech & LanguageEURASIP Journal on Advances in Signal Processing
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Paul Deléglise
33 papers receiving 459 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 439
- Signal Processing 302
- Computer Vision and Pattern Recognition 110
- Experimental and Cognitive Psychology 26
- Cognitive Neuroscience 17
Countries citing papers authored by Paul Deléglise
This map shows the geographic impact of Paul Deléglise'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 Paul Deléglise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Deléglise more than expected).
Fields of papers citing papers by Paul Deléglise
This network shows the impact of papers produced by Paul Deléglise. 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 Paul Deléglise. The network helps show where Paul Deléglise may publish in the future.
Co-authorship network of co-authors of Paul Deléglise
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Deléglise. A scholar is included among the top collaborators of Paul Deléglise 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 Paul Deléglise. Paul Deléglise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 8 | |
| 3 | Enhancing the TED-LIUM corpus with selected data for language modeling and more TED talks | 130 |
| 4 | 6 | |
| 5 | TED-LIUM: an automatic speech recognition dedicated corpus | 126 |
| 6 | LIUM’s systems for the IWSLT 2011 Speech Translation Tasks | 26 |
| 7 | 3 | |
| 8 | 2 | |
| 9 | LIUM's Statistical Machine Translation Systems for IWSLT 2009 | 1 |
| 10 | 11 | |
| 11 | 32 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | Hybrid Hidden Markow model / neural network models for speechreading. | 1 |
| 17 | Adaptive Fusion of Acoustic and Visual Sources for Automatic Speech Recognition, December 98 | 1 |
| 18 | Adaptive Determination of Audio and Visual Weights for Automatic Speech Recognition | 19 |
| 19 | 3 | |
| 20 | 19 |
About Paul Deléglise
Paul Deléglise is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 558 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (25 papers), Natural Language Processing Techniques (16 papers) and Speech and Audio Processing (14 papers). The work is most often cited by research in Signal Processing (302 citations), Artificial Intelligence (439 citations) and Computer Vision and Pattern Recognition (110 citations). Paul Deléglise has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Yannick Estève, Anthony Rousseau, Alexandrina Rogozan, Sylvain Meignier, Téva Merlin, Antoine Laurent, Frédéric Bimbot, Fethi Bougares, Richard Dufour and Holger Schwenk. Their work appears in journals such as Speech Communication, Computer Speech & Language and EURASIP Journal on Advances in Signal Processing.
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.