Jérôme Farinas

591 total citations
36 papers, 343 citations indexed

About

Jérôme Farinas is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Jérôme Farinas has authored 36 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Signal Processing and 12 papers in Physiology. Recurrent topics in Jérôme Farinas's work include Speech Recognition and Synthesis (20 papers), Voice and Speech Disorders (12 papers) and Music and Audio Processing (10 papers). Jérôme Farinas is often cited by papers focused on Speech Recognition and Synthesis (20 papers), Voice and Speech Disorders (12 papers) and Music and Audio Processing (10 papers). Jérôme Farinas collaborates with scholars based in France, United Kingdom and Norway. Jérôme Farinas's co-authors include François Pellegrino, Jean-Luc Rouas, Régine Andre-Obrecht, Julien Pinquier, Thomas Pellegrini, Bruno Cargnelutti, David Reby, Lionel Fontan, Virginie Woisard and Isabelle Ferrané and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research and Head & Neck.

In The Last Decade

Jérôme Farinas

33 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Farinas France 11 202 155 82 50 48 36 343
Yannick Jadoul Italy 5 114 0.6× 101 0.7× 104 1.3× 57 1.1× 67 1.4× 17 338
Marwa Saleh Egypt 10 91 0.5× 74 0.5× 129 1.6× 177 3.5× 29 0.6× 25 357
Wolfram Seidner Germany 8 74 0.4× 54 0.3× 109 1.3× 243 4.9× 56 1.2× 13 332
Jean-Sylvain Liénard France 7 84 0.4× 95 0.6× 175 2.1× 42 0.8× 63 1.3× 12 280
Patrick Mergell Germany 8 262 1.3× 157 1.0× 247 3.0× 385 7.7× 95 2.0× 11 553
Kåre Sjölander Sweden 5 316 1.6× 226 1.5× 180 2.2× 26 0.5× 20 0.4× 10 466
Youyi Lu United Kingdom 6 108 0.5× 239 1.5× 201 2.5× 21 0.4× 38 0.8× 6 418
Byunggon Yang South Korea 6 182 0.9× 80 0.5× 247 3.0× 28 0.6× 32 0.7× 33 329
Wim A. van Dommelen Norway 10 131 0.6× 129 0.8× 276 3.4× 20 0.4× 48 1.0× 27 386
Shinji Maeda France 14 307 1.5× 216 1.4× 457 5.6× 142 2.8× 56 1.2× 48 674

Countries citing papers authored by Jérôme Farinas

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Farinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Farinas

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Farinas. A scholar is included among the top collaborators of Jérôme Farinas 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 Jérôme Farinas. Jérôme Farinas 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.
Bredin, Hervé, Thomas Pellegrini, Farah Benamara, et al.. (2024). IRIT-MFU Multi-modal systems for emotion classification for Odyssey 2024 challenge. SPIRE - Sciences Po Institutional REpository. 296–302. 1 indexed citations
2.
Farinas, Jérôme, et al.. (2024). SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers. Frontiers in Artificial Intelligence. 7. 1359094–1359094.
3.
Pinquier, Julien, et al.. (2022). Development of a holistic communication score (HoCoS) in patients treated for oral or oropharyngeal cancer: Preliminary validation. International Journal of Language & Communication Disorders. 58(1). 39–51. 3 indexed citations
4.
Farinas, Jérôme, et al.. (2022). Deep neural networks for automatic speech processing: a survey from large corpora to limited data. EURASIP Journal on Audio Speech and Music Processing. 2022(1). 13 indexed citations
5.
6.
Farinas, Jérôme, et al.. (2021). Paramètres perceptifs expliquant la sévérité du trouble de parole mesurée automatiquement en cancérologie ORL. HAL (Le Centre pour la Communication Scientifique Directe). 286. 1–13. 1 indexed citations
7.
Woisard, Virginie, Corinne Fredouille, Jérôme Farinas, et al.. (2021). Construction of an automatic score for the evaluation of speech disorders among patients treated for a cancer of the oral cavity or the oropharynx: The Carcinologic Speech Severity Index. Head & Neck. 44(1). 71–88. 6 indexed citations
8.
Farinas, Jérôme, et al.. (2020). The (head and neck) carcinologic handicap index: validation of a modular type questionnaire and its ability to prioritise patients’ needs. European Archives of Oto-Rhino-Laryngology. 278(4). 1159–1169. 2 indexed citations
9.
Pellegrini, Thomas, et al.. (2019). The Airbus Air Traffic Control Speech Recognition 2018 Challenge: Towards ATC Automatic Transcription and Call Sign Detection. arXiv (Cornell University). 2993–2997. 34 indexed citations
10.
Farinas, Jérôme, et al.. (2019). Validation of the French Versions of the Speech Handicap Index and the Phonation Handicap Index in Patients Treated for Cancer of the Oral Cavity or Oropharynx. Folia Phoniatrica et Logopaedica. 72(6). 464–477. 8 indexed citations
11.
Farinas, Jérôme, et al.. (2019). Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review. Head & Neck. 42(1). 111–130. 19 indexed citations
12.
Fontan, Lionel, et al.. (2014). Comparaison de mesures perceptives et automatiques de l'intelligibilité : application à de la parole simulant la presbyacousie. Open Archive Toulouse Archive Ouverte (University of Toulouse). 2 indexed citations
13.
Pellegrini, Thomas, et al.. (2014). The goodness of pronunciation algorithm applied to disordered speech. HAL (Le Centre pour la Communication Scientifique Directe). 1463–1467. 4 indexed citations
14.
Andre-Obrecht, Régine, et al.. (2008). Unsupervised signal segmentation based on temporal spectral clustering. European Signal Processing Conference. 1–5. 1 indexed citations
15.
Pellegrino, François, Jérôme Farinas, & Jean-Luc Rouas. (2004). Automatic estimation of speaking rate in multilingual spontaneous speech. SPIRE - Sciences Po Institutional REpository. 517–520. 21 indexed citations
16.
Farinas, Jérôme, Dominique Fohr, Irina Illina, et al.. (2003). Audio Indexing on the Web: a Preliminary Study of Some Audio Descriptors. 3 indexed citations
17.
Rouas, Jean-Luc, Jérôme Farinas, François Pellegrino, & Régine Andre-Obrecht. (2003). Modeling prosody for language identification on read and spontaneous speech. 11. I–753. 2 indexed citations
18.
Rouas, Jean-Luc, et al.. (2003). Modeling prosody for language identification on read and spontaneous speech. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. I–40. 9 indexed citations
19.
Pellegrino, François, et al.. (2002). Can automatically extracted rhythmic units discriminate among languages?. 563–566. 4 indexed citations
20.
Farinas, Jérôme & François Pellegrino. (2001). Automatic rhythm modeling for language identification. 2539–2542. 18 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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