Scholar
Florent Jacquemard
Google Scholar ID: bF2v6BYAAAAJ
Inria
Citations & Impact
Citations
573
H-index
8
i10-index
5
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published papers: On the computation of Montgeau-Sankoff edit-distance measuring melodic similarity in 'Information & Computation' journal; at WoRMS’22 on Automated Transcription of Electronic Drumkits; involved in international collaborative projects like the Japan national Kakenhi project and French national CollabScore project.
Research Experience
- Research scientist at Inria, member of the Vertigo team, on leave at the Cedric lab, CNAM, Paris. Involved in several research projects such as Grammar Generative Models for Music Notation Processing and Digital Music Score Distances.
Background
- With a background in formal language theory and formal methods for systems and software verification, his current research project focuses on the processing of symbolic music data, collaborating with specialists in Digital Music Score Databases and Computational Musicology.
Miscellany
- No personal interests mentioned
Co-authors