Instrument identification in polyphonic music: Feature weighting with mixed sounds, pitch-dependent timbre modeling, and use of musical context

Tetsuro Kitahara*, Masataka Goto, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

*この研究の対応する著者

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

This paper addresses the problem of identifying musical instruments in polyphonic music. Musical instrument identification (MII) is an improtant task in music information retrieval because MII results make it possible to automatically retrieving certain types of music (e.g., piano sonata, string quartet). Only a few studies, however, have dealt with MII in polyphonic music. In MII in polyphonic music, there are three issues: feature variations caused by sound mixtures, the pitch dependency of timbres, and the use of musical context. For the first issue, templates of feature vectors representing timbres are extracted from not only isolated sounds but also sound mixtures. Because some features are not robust in the mixtures, features are weighted according to their robustness by using linear discriminant analysis. For the second issue, we use an F0-dependent multivariate normal distribution, which approximates the pitch dependency as a function of fundamental frequency. For the third issue, when the instrument of each note is identified, the a priori probablity of the note is calculated from the a posteriori probabilities of temporally neighboring notes. Experimental results showed that recognition rates were improved from 60.8% to 85.8% for trio music and from 65.5% to 91.1% for duo music.

本文言語English
ホスト出版物のタイトルISMIR 2005 - 6th International Conference on Music Information Retrieval
ページ558-563
ページ数6
出版ステータスPublished - 2005 12 1
外部発表はい
イベント6th International Conference on Music Information Retrieval, ISMIR 2005 - London, United Kingdom
継続期間: 2005 9 112005 9 15

出版物シリーズ

名前ISMIR 2005 - 6th International Conference on Music Information Retrieval

Conference

Conference6th International Conference on Music Information Retrieval, ISMIR 2005
国/地域United Kingdom
CityLondon
Period05/9/1105/9/15

ASJC Scopus subject areas

  • 音楽
  • 情報システム

フィンガープリント

「Instrument identification in polyphonic music: Feature weighting with mixed sounds, pitch-dependent timbre modeling, and use of musical context」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル