Musical instrument identification based on F0-dependent multivariate normal distribution

Tetsuro Kitahara, Masataka Goto, Hiroshi G. Okuno

研究成果: Conference contribution

32 被引用数 (Scopus)

抄録

The pitch dependency of timbres has not been fully exploited in musical instrument identification. In this paper, we present a method using an F0-dependent multivariate normal distribution of which mean is represented by a function of fundamental frequency (F0). This F0-dependent mean function represents the pitch dependency of each feature, while the F0-normalized covariance represents the non-pitch dependency. Musical instrument sounds are first analyzed by the F0-dependent multivariate normal distribution, and then identified by using the discriminant function based on the Bayes decision rule. Experimental results of identifying 6,247 solo tones of 19 musical instruments by 10-fold cross validation showed that the proposed method improved the recognition rate at individual-instrument level from 75.73% to 79.73%, and the recognition rate at category level from 88.20% to 90.65%.

本文言語English
ホスト出版物のタイトルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ページ421-424
ページ数4
5
出版ステータスPublished - 2003
外部発表はい
イベント2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
継続期間: 2003 4 62003 4 10

Other

Other2003 IEEE International Conference on Accoustics, Speech, and Signal Processing
国/地域Hong Kong
CityHong Kong
Period03/4/603/4/10

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 信号処理
  • 音響学および超音波学

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