Musical instrument recognizer "instrogram" and its application to music retrieval based on instrumentation similarity

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

Instrumentation is an important cue in retrieving musical content. Conventional methods for instrument recognition performing notewise require accurate estimation of the onset time and fundamental frequency (F0) for each note, which is not easy in polyphonic music. This paper presents a non-notewise method for instrument recognition in polyphonic musical audio signals. Instead of such note-wise estimation, our method calculates the temporal trajectory of instrument existence probabilities for every F0 and visualizes it as a spectrogram-like graphical representation, called an instrogram. This method can avoid the influence by errors of onset detection and F0 estimation because it does not use them. We also present methods for MPEG-7-based instrument annotation and music information retrieval based on the similarity between instrograms. Experimental results with realistic music show the average accuracy of 76.2% for the instrument annotation and that the instrogram-based similarity measure represents the actual instrumentation similarity better than an MFCC-based one.

本文言語English
ホスト出版物のタイトルISM 2006 - 8th IEEE International Symposium on Multimedia
ページ265-272
ページ数8
DOI
出版ステータスPublished - 2006 12 1
外部発表はい
イベントISM 2006 - 8th IEEE International Symposium on Multimedia - San Diego, CA, United States
継続期間: 2006 12 112006 12 13

出版物シリーズ

名前ISM 2006 - 8th IEEE International Symposium on Multimedia

Conference

ConferenceISM 2006 - 8th IEEE International Symposium on Multimedia
国/地域United States
CitySan Diego, CA
Period06/12/1106/12/13

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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