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Frequency-dependent speaker detection using a microphone array

  • In this paper we propose a method to determine the active speaker for each time-frequency point in the noisy signals of a microphone array. This detection is based on a statistical model where the speech signals as well as noise signals are assumed to be multivariate Gaussian random variables in the Fourier domain. Based on this model we derive a maximum-likelihood detector for the active speaker. The decision is based on the a posteriori signal to noise ratio (SNR) of a speaker dependent max-SNR beamformer.

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Metadaten
Author:Jürgen FreudenbergerORCiDGND, Simon GrimmGND
URL:http://pub.dega-akustik.de/DAGA_2016/data/index.html
ISBN:978-3-939296-10-2
Parent Title (English):Fortschritte der Akustik : DAGA 2016, Aachen : 14.-17. März 2016 : 42. Jahrestagung für Akustik, Tagungsband
Publisher:Dt. Gesellschaft für Akustik e.V.
Place of publication:Berlin
Document Type:Conference Proceeding
Language:English
Year of Publication:2016
Release Date:2018/11/23
Tag:Sprachakustik
First Page:940
Last Page:943
Open Access?:Ja
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)