Analysis of sound textures in musical and machine sounds by means of higher order statistical features

Shlomo Dubnov, Naftali Tishby

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

In this paper we describe a sound classification method, which seems to be applicable to a broad domain of stationary, non-musical sounds, such as machine noises and other man made non periodic sounds. The method is based on matching higher order spectra (HOS) of the acoustic signals and it generalizes our earlier results on classification of sustained musical sounds by higher order moments. An efficient `decorrelated matched filter' implementation is presented. The results show good sound classification statistics and a comparison to spectral matching methods is also discussed.

Original languageEnglish
Pages (from-to)3845-3848
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
StatePublished - 1 Jan 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger
Duration: 21 Apr 199724 Apr 1997

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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