Thomas Pellegrini
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Geology
- Co-authors
- Isabel TrancosoLori LamelJérôme FarinasAlberto AbadHugo MeinedoÉtienne LabbéNicolas MelladoLoïc Barthe
- Topics
- Speech Recognition and Synthesis (25 papers)Speech and Audio Processing (21 papers)Music and Audio Processing (17 papers)
- Journals
- The Journal of the Acoustical Society of AmericaACM Transactions on GraphicsIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- FrancePortugalUnited States
In The Last Decade
Thomas Pellegrini
48 papers receiving 323 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 240
- Signal Processing 159
- Experimental and Cognitive Psychology 58
- Computer Vision and Pattern Recognition 54
- Geology 22
Countries citing papers authored by Thomas Pellegrini
This map shows the geographic impact of Thomas Pellegrini'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 Thomas Pellegrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pellegrini more than expected).
Fields of papers citing papers by Thomas Pellegrini
This network shows the impact of papers produced by Thomas Pellegrini. 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 Thomas Pellegrini. The network helps show where Thomas Pellegrini may publish in the future.
Co-authorship network of co-authors of Thomas Pellegrini
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Pellegrini. A scholar is included among the top collaborators of Thomas Pellegrini 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 Thomas Pellegrini. Thomas Pellegrini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 34 | |
| 9 | Towards phonetic interpretability in deep learning applied to voice comparison | 4 |
| 10 | Deep learning and voice comparison: phonetically-motivated vs. automatically-learned features | 1 |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | Developments of "Lëtzebuergesch" Resources for Automatic Speech Processing and Linguistic Studies. | 2 |
| 20 | Experimental detection of vowel pronunciation variants in Amharic | 7 |
About Thomas Pellegrini
Thomas Pellegrini is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology, having authored 49 papers that have together received 370 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (159 citations), Artificial Intelligence (240 citations) and Experimental and Cognitive Psychology (58 citations). Thomas Pellegrini has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Isabel Trancoso, Lori Lamel, Jérôme Farinas, Alberto Abad, Hugo Meinedo, Étienne Labbé, Nicolas Mellado, Loïc Barthe, Mathias Paulin and Timothée Masquelier. Their work appears in journals such as The Journal of the Acoustical Society of America, ACM Transactions on Graphics and IEEE Transactions on Audio Speech and Language 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.