Academic partnership
WASABI
The WASABI ANR project, started in January 2017, aims at the construction of a 2 million song knowledge base that combines metadata collected from music databases on the Web, metadata resulting from the analysis of song lyrics, and metadata resulting from the audio analysis.

The built database will then be used for the development of semantic applications with high added value and an interactive WebAudio application1. It is a 42-month project founded by the French National Agency for Research (ANR contract ANR-16-CE23-0017-01).

1 WebAudio is a new W3C standard API that brings computer music to the Web Browser.

Publications

WASABI: a Two Million Song Database Project with Audio and Cultural Metadata plus WebAudio enhanced Client Applications
G. Meseguer-Brocal, G. Peeters, G. Pellerin, M. Buffa, E. Cabrio, C. Faron Zucker, A. Giboin, I. Mirbel, R. Hennequin, M. Moussallam, F. Piccoli, T. Fillon
WAC - 2017
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The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata about 2 Million Popular Commercially Released Songs
M. Buffa, E. Cabrio, M. Fell, F. Gandon, A. Giboin, R. Hennequin, F. Michel, J. Pauwels, G. Pellerin, M. Tikat, M. Winckler
ESWC - 2021
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External links

Project website ANR website