DocumentCode :
177702
Title :
On the noisereduction performance of the MVDR beamformer innoisy and reverberant environments
Author :
Chao Pan ; Jingdong Chen ; Benesty, Jacob
Author_Institution :
Northwestern Polytech. Univ., Xi´an, China
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
815
Lastpage :
819
Abstract :
The minimum variance distortionless response (MVDR) beam-former has been widely studied for extraction of desired speech signals in noisy acoustic environments. The performance of this beam-former, however, depends on many factors such as the array geometry, the source incidence angle, the noise field characteristics, the reverberation conditions, etc. In this paper, we study the performance of the MVDR beamformer in different noise and reverberation conditions with a linear microphone array. Using the gain in signal-to-noise ratio (SNR) as the performance metric, we show that the optimal performance of the MVDR beamformer generally occurs when the source is in the endfire directions in different types of noise, which indicates that, as long as a linear array is used, we should configure it in such a way that the endfire direction is pointed to the desired source. Simulations in reverberant environments also verified this result, though the performance difference between end-fire and broadside directions reduces as the degree of reverberation increases.
Keywords :
acoustic signal processing; array signal processing; microphone arrays; reverberation; MVDR beamformer; SNR; array geometry; linear microphone array; minimum variance distortionless response beamformer; noise field characteristics; noise reduction; noisy acoustic environments; reverberant environments; reverberation conditions; signal-to-noise ratio; source incidence angle; speech signal; Arrays; Gain; Microphones; Reverberation; Signal to noise ratio; Speech; Beamforming; microphone arrays; minimum variance distortionless response (MVDR) beamformer; noise reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853710
Filename :
6853710
Link To Document :
بازگشت