Title :
Adaptive binaural noise reduction based on matched-filter equalization and post-filtering
Author :
Azarpour, Masoumeh ; Enzner, Gerald ; Martin, Rashad
Author_Institution :
Inst. of Commun. Acoust., Ruhr-Univ. Bochum, Bochum, Germany
Abstract :
In this paper a binaural noise reduction system based on the adaptive matched filter array (MFA) and post-filtering is presented. The binaural MFA filter is formed using the interaural impulse response between left and right microphone signal which is estimated by means of the NLMS algorithm. The residual noise reduction by three post-filter types is then compared and evaluated according to objective and subjective measures. Furthermore, the performance of the algorithm for preserving binaural cues is discussed.
Keywords :
adaptive filters; least mean squares methods; matched filters; NLMS algorithm; adaptive binaural noise reduction; adaptive matched filter array; binaural MFA filter; binaural cues; interaural impulse response; matched-filter equalization; microphone signal; post-filtering; residual noise reduction; Ear; Microphones; Noise reduction; Signal processing algorithms; Signal to noise ratio; Speech; Binaural cue preservation; Binaural noise reduction; Matched filter array;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6639072