Title
Adaptive binaural noise reduction based on matched-filter equalization and post-filtering
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.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6639072
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
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,Binaural cue preservation,Binaural noise reduction,Matched filter array
Noise reduction,Impulse response,Equalization (audio),Pattern recognition,Computer science,Filter (signal processing),Speech recognition,Adaptive filter,Artificial intelligence,Matched filter,Binaural recording,Microphone
Conference
ISSN
Citations 
PageRank 
1520-6149
3
0.39
References 
Authors
15
3
Name
Order
Citations
PageRank
Masoumeh Azarpour1112.90
Gerald Enzner228031.78
Rainer Martin3102991.14