Drum extraction from polyphonic music based on a spectro-temporal model of percussive sounds

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

Abstract

In this paper, we present a new algorithm for removing drums from a polyphonic audio signal. The aim of this algorithm is to discard time/frequency bins which present a percussive magnitude evolution, according to a pre-defined parametric model. Special care is taken to reduce the irrelevant removal of frequency modulated signal such as the ones produced by the singing voice. Performance evaluation is carried out using objective measures commonly used by the community. Compared with four state-of-the-art algorithms, the proposed algorithm shows competitive performances at a low computational cost.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages381-384
Number of pages4
DOIs
Publication statusPublished - 18 Aug 2011
Externally publishedYes
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Publication series

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

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • drum extraction
  • music information retrieval
  • source separation

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