Paper Info
Title
A noise-estimation algorithm for highly non-stationary environments
Abstract
A noise-estimation algorithm is proposed for highly non-stationary noise environments. The noise estimate is updated by averaging the noisy speech power spectrum using time and frequency dependent smoothing factors, which are adjusted based on signal-presence probability in individual frequency bins. Signal presence is determined by computing the ratio of the noisy speech power spectrum to its local minimum, which is updated continuously by averaging past values of the noisy speech power spectra with a look-ahead factor. The local minimum estimation algorithm adapts very quickly to highly non-stationary noise environments. This was confirmed with formal listening tests which indicated that the proposed noise-estimation algorithm when integrated in speech enhancement was preferred over other noise-estimation algorithms.
Year
DOI
Venue
2006
10.1016/j.specom.2005.08.005
Speech Communication
Keywords
Field
DocType
Speech enhancement,Noise estimation,Non-stationary noise
Noise reduction,Speech enhancement,Speech processing,Non stationary noise,Pattern recognition,Computer science,Algorithm,Speech recognition,Smoothing,Spectral density,Artificial intelligence
Journal
Volume
Issue
ISSN
48
2
0167-6393
Citations 
PageRank 
References 
129
6.14
22
Authors
2
Search Limit
100129
Name
Order
Citations
PageRank
Sundarrajan Rangachari11366.97
Philipos C. Loizou299171.00