Sound source separation via computational auditory scene analysis-enhanced beamforming

Laura Drake, Aggelos K Katsaggelos, Janet C. Rutledge, Jun Zhangl

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

2 Scopus citations

Abstract

This paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures.The efficacy of this approach is demonstrated by experimental results.

Original languageEnglish (US)
Title of host publication2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
PublisherIEEE Computer Society
Pages259-263
Number of pages5
Volume2002-January
ISBN (Electronic)0780375513
DOIs
StatePublished - Jan 1 2002
EventIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States
Duration: Aug 4 2002Aug 6 2002

Other

OtherIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
CountryUnited States
CityRosslyn
Period8/4/028/6/02

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Drake, L., Katsaggelos, A. K., Rutledge, J. C., & Zhangl, J. (2002). Sound source separation via computational auditory scene analysis-enhanced beamforming. In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002 (Vol. 2002-January, pp. 259-263). [1191040] IEEE Computer Society. https://doi.org/10.1109/SAM.2002.1191040