Category-level identification of non-registered musical instrument sounds

Tetsuro Kitahara*, Masataka Goto, Hiroshi G. Okuno

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


This paper describes a method that identifies sounds of non-registered musical instruments (i.e., musical instruments that are not contained in the training data) at a category level. Although the problem of how to deal with non-registered musical instruments is essential in musical instrument identification, it has not been dealt with in previous studies. Our method solves this problem by distinguishing between registered and non-registered instruments and identifying the category name of the non-registered instruments. When a given sound is registered, its instrument name, e.g. violin, is identified. Even if it is not registered, its category name, e.g. strings, can be identified. The important issue in achieving such identification is to adopt a musical instrument hierarchy reflecting the acoustical similarity. We present a method for acquiring such a hierarchy from a musical instrument sound database. Experimental results show that around 77% of non-registered instrument sounds, on average, were correctly identified at the category level.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 2004
Externally publishedYes
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: 2004 May 172004 May 21


OtherProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing
CityMontreal, Que

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics


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