NDLI: Sequential Organization of Speech in Reverberant Environments by Integrating Monaural Grouping and Binaural Localization

Content Provider	IEEE Xplore Digital Library
Author	Woodruff, J. DeLiang Wang
Copyright Year	2006
Abstract	Existing binaural approaches to speech segregation place an exclusive burden on cues related to the location of sound sources in space. These approaches can achieve excellent performance in anechoic conditions but degrade rapidly in realistic environments where room reverberation corrupts localization cues. In this paper, we propose to integrate monaural and binaural processing to achieve segregation and localization of voiced speech in reverberant environments. The proposed approach builds on monaural analysis for simultaneous organization, and combines it with a novel method for generation of location-based cues in a probabilistic framework that jointly achieves localization and sequential organization. We compare localization performance to two existing methods, sequential organization performance to a model-based system that uses only monaural cues, and segregation performance to an exclusively binaural system. Results suggest that the proposed framework allows for improved source localization and robust segregation of voiced speech in environments with considerable reverberation.
Sponsorship	IEEE Signal Processing Society
Starting Page	1856
Ending Page	1866
Page Count	11
File Size	1219900
File Format	PDF
ISSN	15587916
Volume Number	18
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reverberation Robustness Speech analysis Time frequency analysis Degradation Image analysis Computer science Filtering Array signal processing Speech processing sound localization Binaural speech segregation computational auditory scene analysis monaural grouping sequential organization
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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