DocumentCode
131376
Title
Wideband DOA estimation based on multi-channel speech presence probabilities
Author
Parchami, Mostafa ; Wei-Ping Zhu
Author_Institution
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
fYear
2014
fDate
22-25 June 2014
Firstpage
397
Lastpage
400
Abstract
This work proposes a novel scheme for the direction-of-arrival (DOA) estimation of speech signals by employing speech presence probabilities in the frequency domain. We first obtain an initial estimate of the signal´s DOA by conventional beamforming and then use it to compensate for the relative delay across the microphone array signals. The resulting signals are utilized to establish estimates of the speech presence probabilities which are applied on the frequency focusing methods to implement the wideband MUSIC approach in order to determine the final DOA estimate. Simulation results illustrate considerable performance improvement in terms of DOA estimation error in circumstances where the speech signal and background noise have different spectral content. The proposed method is extensively useful in low SNR scenarios and is robust against the choice of the frequency focusing method.
Keywords
array signal processing; direction-of-arrival estimation; frequency-domain analysis; microphone arrays; spectral analysis; speech enhancement; background noise; beamforming; frequency domain; frequency focusing method; low SNR scenario; microphone array signal; multichannel speech presence probability; spectral content; speech signal enhancement; wideband DOA estimation error; wideband MUSIC approach; wideband direction-of-arrival estimation; Direction-of-arrival estimation; Estimation; Focusing; Multiple signal classification; Signal to noise ratio; Speech; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International
Conference_Location
Trois-Rivieres, QC
Type
conf
DOI
10.1109/NEWCAS.2014.6934066
Filename
6934066
Link To Document