Robust similarity metrics between audio signals based on asymmetrical spectral envelope matching

Mathieu Lagrange, Roland Badeau, Gaël Richard

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a new type of metric that defines the similarity between musical audio signals is proposed. Based on the spectral flatness criterion, those metrics achieve low computational cost and low sensitivity to acoustical degradations. Validation is performed by studying the ability of the proposed metric to determine whether two audio signals have been played by the same musical instrument. For this task, proposed metrics are shown to overcome metrics based on the comparison of standard spectral features especially when the request and the records of the database are of different acoustical properties.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages405-408
Number of pages4
ISBN (Print)9781424442966
DOIs
Publication statusPublished - 1 Jan 2010
Externally publishedYes
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: 14 Mar 201019 Mar 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period14/03/1019/03/10

Keywords

  • Audio similarity
  • Spectral envelope matching
  • Spectral flatness

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