The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Laurent Girin sits on this spectrum.
This scientist: 208 publications — 49th percentile
49% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Laurent Girin sits on this spectrum.
This scientist: 32 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Laurent Girin is affiliated with the Grenoble Institute of Technology in France and has conducted extensive research within the fields of computer science, particularly focusing on signal processing and artificial intelligence. Their scholarly output includes a significant emphasis on speech and audio processing, music and audio processing, and speech recognition and synthesis.
The scientist's work frequently appears in a range of publication venues, with a considerable number of contributions to arXiv (Cornell University). They have also published multiple papers in IEEE/ACM Transactions on Audio Speech and Language Processing, as well as in HAL (Le Centre pour la Communication Scientifique Directe), SSRN Electronic Journal, and Zenodo (CERN European Organization for Nuclear Research).
Laurent Girin's main fields and subfields of study encompass:
Their research topics cover a broad spectrum of audio-related technologies, including:
Recent publications by Laurent Girin include a variety of works addressing both theoretical and applied aspects of speech and audio technologies:
The scientist has collaborated regularly with several co-authors, including:
Laurent Girin's research contributions predominantly contribute to developing and improving methods in audio signal processing and machine learning, with frequent engagement in speech-related topics and applications related to generative models and signal enhancement. The body of work reflects interdisciplinary approaches involving cognitive psychology and computer vision in broader contexts.
Pierre-Amaury Grumiaux;Srdan Kitic;Laurent Girin;Alexandre Guérin
Laurent Girin;Simon Leglaive;Xiaoyu Bie;Julien Diard
Laurent Girin;Jean-Luc Schwartz;Gang Feng
B. Rivet;L. Girin;C. Jutten
Antoine Liutkus;Jonathan Pinel;Roland Badeau;Laurent Girin
Mathieu Parvaix;Laurent Girin;Jean-Marc Brossier
Laurent Girin;Simon Leglaive;Xiaoyu Bie;Julien Diard
Florent Bocquelet;Thomas Hueber;Laurent Girin;Christophe Savariaux;Christophe Savariaux
Simon Leglaive;Xavier Alameda-Pineda;Laurent Girin;Radu Horaud
B. Rivet;L. Girin;C. Jutten
Pierre Laffitte;David Sodoyer;Charles Tatkeu;Laurent Girin
D. Sodoyer;B. Rivet;L. Girin;J.-L. Schwartz
Florent Bocquelet;Thomas Hueber;Laurent Girin;Stéphan Chabardès
Simon Leglaive;Laurent Girin;Radu Horaud
M Parvaix;L Girin
Simon Leglaive;Laurent Girin;Radu Horaud
David Sodoyer;Jean-Luc Schwartz;Laurent Girin;Jacob Klinkisch
Xiaoyu Bie;Simon Leglaive;Xavier Alameda-Pineda;Laurent Girin
Dionyssos Kounades-Bastian;Laurent Girin;Xavier Alameda-Pineda;Sharon Gannot
Antoine Deleforge;Radu Horaud;Yoav Y. Schechner;Laurent Girin
Mathieu Parvaix;Laurent Girin
Mostafa Sadeghi;Simon Leglaive;Xavier Alameda-PIneda;Laurent Girin
Mostafa Sadeghi;Simon Leglaive;Xavier Alameda-Pineda;Laurent Girin
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