%0 Conference Proceedings
%T Automated Composing System for Sub-melody Using HMM: A Support System for Composing Music
%+ Dept. of Computer Science and Engineering, Graduate School of Engineering
%A Yamanishi, Ryosuke
%A Akita, Keisuke
%A Kato, Shohei
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 9th International Conference on Entertainment Computing (ICEC)
%C Seoul, South Korea
%Y Hyun Seung Yang; Rainer Malaka; Junichi Hoshino; Jung Hyun Han
%I Springer
%3 Entertainment Computing - ICEC 2010
%V LNCS-6243
%P 425-427
%8 2010-09-08
%D 2010
%R 10.1007/978-3-642-15399-0_49
%K automated composing
%K HMM
%K machine learning
%K music
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01055614/document
%2 https://inria.hal.science/hal-01055614/file/Paper18.pdf
%L hal-01055614
%U https://inria.hal.science/hal-01055614
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6243
%~ IFIP-ICEC
%~ IFIP-2010