Irina Illina
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Co-authors
- Dominique FohrEmmanuel VincentDenis JouvetRomain SerizelSlim EssidJean-Paul HatonYifan GongGeorges Linarès
- Topics
- Speech Recognition and Synthesis (49 papers)Speech and Audio Processing (36 papers)Music and Audio Processing (27 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Irina Illina
56 papers receiving 285 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 259
- Signal Processing 205
- Experimental and Cognitive Psychology 41
- Computer Vision and Pattern Recognition 35
- Computational Mechanics 29
Countries citing papers authored by Irina Illina
This map shows the geographic impact of Irina Illina'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 Irina Illina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Illina more than expected).
Fields of papers citing papers by Irina Illina
This network shows the impact of papers produced by Irina Illina. 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 Irina Illina. The network helps show where Irina Illina may publish in the future.
Co-authorship network of co-authors of Irina Illina
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Illina. A scholar is included among the top collaborators of Irina Illina 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 Irina Illina. Irina Illina 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 | Improving Hate Speech Detection with Self-Attention Mechanism and Multi-Task Learning | 0 |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | Study of Entity-Topic Models for OOV Proper Name Retrieval | 1 |
| 10 | Continuous Word Representation using Neural Networks for Proper Name Retrieval from Diachronic Documents | 1 |
| 11 | 7 | |
| 12 | Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only | 1 |
| 13 | Multiple Pronunciation Generation using Grapheme-to-Phoneme Conversion based on Conditional Random Fields | 1 |
| 14 | 1 | |
| 15 | 28 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 2 |
About Irina Illina
Irina Illina is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 63 papers that have together received 325 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (49 papers), Speech and Audio Processing (36 papers) and Music and Audio Processing (27 papers). The work is most often cited by research in Signal Processing (205 citations), Artificial Intelligence (259 citations) and Experimental and Cognitive Psychology (41 citations). Irina Illina has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Dominique Fohr, Emmanuel Vincent, Denis Jouvet, Romain Serizel, Slim Essid, Jean-Paul Haton, Yifan Gong, Georges Linarès, Yifan Gong and Jean‐Paul Haton. Their work appears in journals such as IEEE Signal Processing Letters, Speech Communication and Computer Speech & Language.
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.