Title
Speech enhancement based on a log-spectral amplitude estimator and a postfilter derived from clean speech codebook
Abstract
In this paper, we propose a single channel speech enhancement system where a postfilter, which is derived from a clean speech codebook, is applied after a log-spectral amplitude estimator. The primary motivation of this approach is to include prior knowledge about clean source signals to improve speech enhancement results. The codebook, which is trained from clean speech database, serves as clean speech spectral constraints on the enhanced speech. By using the prior clean source information, the proposed method can effectively remove the residual noise presented in traditional speech enhancement algorithms while leaving the speech information intact. Experimental results of the proposed speech enhancement system show improvement in residual noise reduction.
Year
Venue
Keywords
2010
Aalborg
filters,speech enhancement,clean source signals,clean speech codebook,clean speech spectral constraints,log-spectral amplitude estimator,postfilter,estimation,noise measurement,speech,signal to noise ratio
Field
DocType
ISSN
Speech enhancement,Speech processing,Speech coding,Noise measurement,Voice activity detection,Computer science,Signal-to-noise ratio,Speech recognition,Linear predictive coding,Codebook
Conference
2219-5491
Citations 
PageRank 
References 
1
0.36
7
Authors
3
Name
Order
Citations
PageRank
Jason Wung1164.45
Biing-Hwang Juang23388699.72
Bowon Lee315420.99