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

被引：0
|
作者：
Yamanishi, Ryosuke [1 ]
Akita, Keisuke [1 ]
Kato, Shohei [1 ]
机构：
[1] Nagoya Inst Technol, Dept Comp Sci & Engn, Grad Sch Engn, Showa Ku, Nagoya, Aichi 4668555, Japan
来源：
ENTERTAINMENT COMPUTING - ICEC 2010 | 2010年 / 6243卷
关键词：
automated composing; HMM; machine learning; music;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 call learn the features of song sets that are selected while considering music genres, music culture, or nuances of composers.
引用
收藏
页码：425 / 427
页数：3
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