Paper Info
Title
Noise reduction using reliable a posteriori Signal-to-Noise Ratio features
Abstract
This paper addresses the problem of single microphone speech enhancement in noisy environments. State of the art short-time noise reduction techniques are most often expressed as a spectral gain depending on Signal-to-Noise Ratio (SNR). The well-known decision-directed approach drastically limits the level of musical noise but the estimated a priori SNR is biased since it depends on the speech spectrum estimated in the previous frame. The consequence of this bias is an annoying reverberation effect. We propose a method, called Reliable Features Selection Noise Reduction (RFSNR) technique, capable of classifying the a posteriori SNR estimates into two categories: the reliable features leading to speech components and the unreliable ones corresponding to musical noise only. Then it is possible to directly enhance speech using these reliable components thus obtaining an unbiased estimator.
Year
Venue
Keywords
2006
Florence
microphones,reverberation,speech enhancement,microphone speech enhancement,musical noise,reliable features selection noise reduction,reverberation effect,short-time noise reduction,signal-to-noise ratio
Field
DocType
ISSN
Noise,Speech enhancement,Value noise,Colors of noise,Background noise,Noise measurement,Computer science,Salt-and-pepper noise,Speech recognition,Gradient noise
Conference
2219-5491
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
C. Plapous1653.56
Claude Marro2506.40
Pascal Scalart3925283.73