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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 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Wednesday, August 13, 2014 - 2:30:52 PM Last modification on : Wednesday, August 16, 2017 - 5:33:09 PM Long-term archiving on: : Wednesday, November 26, 2014 - 11:57:38 PM
Ryosuke yamanishi, Keisuke Akita, Shohei Kato. Automated Composing System for Sub-melody Using
HMM: A Support System for Composing Music. 9th International Conference on Entertainment Computing (ICEC), Sep 2010, Seoul, South Korea. pp.425-427, ⟨10.1007/978-3-642-15399-0_49⟩. ⟨hal-01055614⟩