Blind source separation of 3-D located many speech signals

Ryo Mukai*, Hiroshi Sawada, Shoko Araki, Shoji Makino

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

This paper presents a prototype system for Blind Source Separation (BSS) of many speech signals and describes the techniques used in the system. Our system uses 8 microphones located at the vertexes of a 4cm × 4cm × 4cm cube and has the ability to separate signals distributed in three-dimensional space. The mixed signals observed by the microphone array are processed by Independent Component Analysis (ICA) in the frequency domain and separated into a given number of signals (up to 8). We carried out experiments in an ordinary office and obtained more than 20 dB of SIR improvement.

Original languageEnglish
Title of host publication2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Pages9-12
Number of pages4
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - New Paltz, NY, United States
Duration: 2005 Oct 162005 Oct 19

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Conference

Conference2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Country/TerritoryUnited States
CityNew Paltz, NY
Period05/10/1605/10/19

ASJC Scopus subject areas

  • Signal Processing

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