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Collaborative blind source separation using location informed spatial microphones

Journal Article


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Abstract


  • This letter presents a new Collaborative Blind Source Separation (CBSS) technique that uses a pair of location informed coincident microphone arrays to jointly separate simultaneous speech sources based on time-frequency source localization estimates from each microphone recording. While existing BSS approaches are based on localization estimates of sparse time-frequency components, the proposed approach can also recover non-sparse (overlapping) time-frequency components. The proposed method has been evaluated using up to three simultaneous speech sources under both anechoic and reverberant conditions. Results from objective and subjective measures of the perceptual quality of the separated speech show that the proposed approach significantly outperforms existing BSS approaches. © 1994-2012 IEEE.

Publication Date


  • 2013

Citation


  • X. Zheng, C. Ritz & J. Xi, "Collaborative blind source separation using location informed spatial microphones," IEEE Signal Processing Letters, vol. 20, (1) pp. 83-86, 2013.

Scopus Eid


  • 2-s2.0-84870864531

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2242&context=eispapers&unstamped=1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1233

Number Of Pages


  • 3

Start Page


  • 83

End Page


  • 86

Volume


  • 20

Issue


  • 1

Abstract


  • This letter presents a new Collaborative Blind Source Separation (CBSS) technique that uses a pair of location informed coincident microphone arrays to jointly separate simultaneous speech sources based on time-frequency source localization estimates from each microphone recording. While existing BSS approaches are based on localization estimates of sparse time-frequency components, the proposed approach can also recover non-sparse (overlapping) time-frequency components. The proposed method has been evaluated using up to three simultaneous speech sources under both anechoic and reverberant conditions. Results from objective and subjective measures of the perceptual quality of the separated speech show that the proposed approach significantly outperforms existing BSS approaches. © 1994-2012 IEEE.

Publication Date


  • 2013

Citation


  • X. Zheng, C. Ritz & J. Xi, "Collaborative blind source separation using location informed spatial microphones," IEEE Signal Processing Letters, vol. 20, (1) pp. 83-86, 2013.

Scopus Eid


  • 2-s2.0-84870864531

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2242&context=eispapers&unstamped=1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1233

Number Of Pages


  • 3

Start Page


  • 83

End Page


  • 86

Volume


  • 20

Issue


  • 1