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

Author

Dubnov, Shlomo ; Tishby, Naftali

Author_Institution

Anal./Synthesis Team, IRCAM, Paris, France

Volume

5

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3845

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” implemetation is presented. The results show good sound classification statistics and a comparison to spectral matching methods is also discussed

Keywords

acoustic correlation; acoustic filters; acoustic noise; acoustic signal processing; higher order statistics; matched filters; music; pattern classification; signal representation; acoustic signals; decorrelated matched filter; higher order statistical features; machine noises; machine sounds; man made nonperiodic sounds; musical sounds; sound classification method; sound textures; spectral matching; stationary nonmusical sounds; Acoustic noise; Computer science; Decorrelation; Engines; Frequency; Instruments; Jitter; Matched filters; Power harmonic filters; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.604726

Filename

604726