Binaural detection of speech sources in complex acoustic scenes

Tobias May, Steven Van De Par, Armin Kohlrausch

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Abstract

In this paper we present a novel system that is able to simultaneously localize and detect a predefined number of speech sources in complex acoustic scenes based on binaural signals. The system operates in two steps: First, the acoustic scene is analyzed by a binaural front-end that detects relevant sound source activity. Second, a speech detection module selects source positions from a set of candidate positions that are most likely speech. The proposed method is evaluated in simulated multi-source scenarios consisting of two speech sources, three interfering noise sources and reverberation. © 2011 IEEE.
Original languageEnglish
Title of host publication2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
PublisherIEEE
Publication date2011
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - Oldenburg, Germany
Duration: 16 Oct 201119 Oct 2011

Conference

Conference2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
CountryGermany
CityOldenburg
Period16/10/201119/10/2011

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