Blind source separation using correlation at neighboring frequencies

Rintarp Sukegawa, Shinya Uchida, Takayuki Nagai, Masaaki Ikehara

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

3 Citations (Scopus)

Abstract

We propose blind source separation using correlation at neighboring frequencies based on DUET. DUET assume that sound sources meet the W-disjoint orthogonal and each source exists in the different position. Using these conditions, the amplitude and phase parameters are estimated to create amplitude-phase histogram from two mixtures. Each peak in the histogram corresponds to each source. However, because there exists acoustic echo in the real environment, the histogram distributes over wide range and we can not classify each source. In the frequency domain, acoustic signals have high correlations at neighboring frequencies. We incorporate this idea to the DUET to separate the sources more exactly. Through the simulation of both DUET and our new method, we compare the separation performance of our new method with that of DUET and confirm the validity of our method.

Original languageEnglish
Title of host publication2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages451-454
Number of pages4
ISBN (Print)0780397339, 9780780397330
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06 - Yonago, Japan
Duration: 2006 Dec 122006 Dec 15

Publication series

Name2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06

Other

Other2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
Country/TerritoryJapan
CityYonago
Period06/12/1206/12/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Software
  • Electrical and Electronic Engineering
  • General Mathematics

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