Multimodal speech separation

Rivet, B and Chambers, J (2010) Multimodal speech separation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5933 L. pp. 1-11.

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Abstract

The work of Bernstein and Benoît has confirmed that it is advantageous to use multiple senses, for example to employ both audio and visual modalities, in speech perception. As a consequence, looking at the speaker's face can be useful to better hear a speech signal in a noisy environment and to extract it from competing sources, as originally identified by Cherry, who posed the so-called "Cocktail Party" problem. To exploit the intrinsic coherence between audition and vision within a machine, the method of blind source separation (BSS) is particularly attractive. © 2010 Springer-Verlag.

Item Type:	Article
Authors :	Name Email ORCID Rivet, B UNSPECIFIED UNSPECIFIED Chambers, J j.a.chambers@surrey.ac.uk UNSPECIFIED
Date :	30 April 2010
Identification Number :	https://doi.org/10.1007/978-3-642-11509-7_1
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:25
Last Modified :	17 May 2017 13:25
URI:	http://epubs.surrey.ac.uk/id/eprint/839155

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