Paper Info
Title
Binaural noise PSD estimation for binaural speech enhancement
Abstract
In this paper we propose a novel binaural algorithm to estimate the power spectral density (PSD) of the background noise at the left and right ear separately. Inspired by equalization-cancelation considered in binaural hearing, the target speech is canceled at both left and right ears by means of the FLMS (fast least-mean square) algorithm. Assuming the ideal equalization, the output error of the blocking filter is a biased estimation of noise PSD. The estimated noise PSD is further corrected by exploiting the estimated left and right interaural transfer functions and the coherence model of the noise field. In addition to noise power estimation assessment, the estimated noise PSD is integrated in a binaural speech enhancement framework in order to evaluate the overall noise reduction performance.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854971
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
estimation theory,filtering theory,least mean squares methods,speech enhancement,FLMS algorithm,background noise,binaural hearing,binaural noise PSD estimation,binaural speech enhancement,blocking filter output error,coherence model,equalization-cancelation,fast least-mean square algorithm,left interaural transfer function estimation,power spectral density estimation,right interaural transfer function estimation,Binaural speech processing,Blocking Filter,Noise PSD estimation
Speech enhancement,Noise reduction,Background noise,Noise power,Equalization (audio),Computer science,Speech recognition,Spectral density,Sound localization,Binaural recording
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.36
References 
Authors
17
3
Name
Order
Citations
PageRank
Masoumeh Azarpour1112.90
Gerald Enzner228031.78
Rainer Martin3102991.14