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Comparison between the statistical cues in BSS techniques and Binaural cues in CASA approaches for reverberant speech separation

Alinaghi, A, Jackson, PJB and Wang, W (2013) Comparison between the statistical cues in BSS techniques and Binaural cues in CASA approaches for reverberant speech separation IET Conference Publications, 2013 (619 CP).

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Abstract

Reverberant speech source separation has been of great interest for over a decade, leading to two major approaches. One of them is based on statistical properties of the signals and mixing process known as blind source separation (BSS). The other approach named as computational auditory scene analysis (CASA) is inspired by human auditory system and exploits monaural and binaural cues. In this paper these two approaches are studied and compared in more depth.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Alinaghi, AUNSPECIFIEDUNSPECIFIED
Jackson, PJBUNSPECIFIEDUNSPECIFIED
Wang, WUNSPECIFIEDUNSPECIFIED
Date : 1 December 2013
Identification Number : 10.1049/cp.2013.2076
Additional Information : This paper is a postprint of a paper submitted to and accepted for publication in IET Conference Publications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
Depositing User : Symplectic Elements
Date Deposited : 09 Sep 2014 09:34
Last Modified : 16 Sep 2014 01:33
URI: http://epubs.surrey.ac.uk/id/eprint/805885

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