Single-channel audio sources separation via optimum mask filter

Mahdi Fallah, Meysam Asgari

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

Abstract

In many single-channel audio separation techniques, expressing a given audio mixture in terms of its underlying signals is often introduced as a challenging topic. Opposed to commonly used GMM based approaches, introducing a new mask filter for DFT mixtures, in this paper a VQ-based single channel audio separation approach is proposed. Compared with previously proposed methods including MIXMAX mask filter it is demonstrated that proposed mask filter improves separation performance in terms of SNR and MOS criterion. It is observed that the experimental results agree with the given mathematical.

Original languageEnglish (US)
Title of host publication11th International Conference on Computer Modelling and Simulation, UKSim 2009
Pages228-232
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event11th International Conference on Computer Modelling and Simulation, UKSim 2009 - Cambridge, United Kingdom
Duration: Mar 25 2009Mar 27 2009

Publication series

Name11th International Conference on Computer Modelling and Simulation, UKSim 2009

Conference

Conference11th International Conference on Computer Modelling and Simulation, UKSim 2009
CountryUnited Kingdom
CityCambridge
Period3/25/093/27/09

Keywords

  • Component
  • MIXMAX
  • Optimum mask filter
  • Single channel audio separation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Modeling and Simulation

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