Automated Composing System for Sub-melody Using HMM: A Support System for Composing Music

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.
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Communication dans un congrès
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〉
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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〉

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