Abstract : We propose an automated composing system for
sub-melodies focusing especially on pitch and rhythm. We constructed the
system using a Hidden Markov Model (HMM). In a composing experiment, we
obtained various melodies depending on the song set used for learning,
and the results suggest that this system can learn the features of song
sets that are selected while considering music genres, music culture, or
nuances of composers.
https://hal.inria.fr/hal-01055614
Contributeur : Hal Ifip
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Soumis le : mercredi 13 août 2014 - 14:30:52
Dernière modification le : mercredi 16 août 2017 - 17:33:09
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 23:57:38
Ryosuke Yamanishi, Keisuke Akita, Shohei Kato. Automated Composing System for Sub-melody Using
HMM: A Support System for Composing Music. Hyun Seung Yang; Rainer Malaka; Junichi Hoshino; Jung Hyun Han. 9th International Conference on Entertainment Computing (ICEC), Sep 2010, Seoul, South Korea. Springer, Lecture Notes in Computer Science, LNCS-6243, pp.425-427, 2010, Entertainment Computing - ICEC 2010. 〈10.1007/978-3-642-15399-0_49〉. 〈hal-01055614〉
