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Computational musicology

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Bernard Bel has a doctorate in computer science with background in electronics. A co-founder of the International Society for Traditional Arts Research (ISTAR), he has been involved in a study of North Indian melodic and rhythmic systems. In 1981 he built an accurate real-time Melodic Movement Analyser (MMA) allowing automatic transcription and analysis of raga music.

He joined GRTC in 1986. At present he is working on language inference techniques for the simulation of traditional and contemporary drum improvisation. Bernard Bel is a founder member of the International Association for Knowledge Technology in the Arts (IAKTA) and is currently teaching computational musicology at the Department of Music, Provence University.

Bernard Vecchione is a professor of Musicology in the Department of Music, Aix-en-Provence University, which he directed from 1985 to 1988. At present he is directing the Centre de Recherche en Sciences de la Musique à l'Université de Provence (CRSM) which he founded in 1987. He has been interested in the problem of cognitive and computer sciences in musicology, working as a co-organizer of the two conferences La Musique et les Sciences Cognitives (Paris: IRCAM, 1988) and Musique et Assistance Informatique (Marseille: La Vieille Charité, 1990). He is now attempting to link these disciplines with semiotics and historical musical anthropology.

The final manuscript in this issue, written by Henkjan Honing, was not originally submitted as part of this special issue. It has been included by the editor, since it is similar in nature to the other articles.

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Bel, B., Vecchione, B. Computational musicology. Comput Hum 27, 1–5 (1993). https://doi.org/10.1007/BF01830711

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