DocumentCode
1082514
Title
Efficient recursive estimation for speech enhancement in colored noise
Author
Lee, Ki Yong ; Shirai, Katsuhiko
Author_Institution
Changwon Nat. Univ., Kyungnam, South Korea
Volume
3
Issue
7
fYear
1996
fDate
7/1/1996 12:00:00 AM
Firstpage
196
Lastpage
199
Abstract
A recursive estimation to enhance speech additively contaminated by colored noise is proposed. This method is based on the Kalman filter with time-varying modeling of the clean speech signal. Then, a hidden filter model is used to model the clean speech signal. An improvement of approximately 4.3 dB and 3.2 dB in signal-to-noise ratio (SNR) is achieved at 10 dB and 15 dB input SNR, respectively.
Keywords
Kalman filters; filtering theory; noise; recursive estimation; speech enhancement; time-varying filters; 10 dB; 15 dB; Kalman filter; clean speech signal; colored noise; hidden filter model; input SNR; recursive estimation; signal-to-noise ratio; speech enhancement; time-varying modeling; Colored noise; Filters; Hidden Markov models; Mean square error methods; Recursive estimation; Signal to noise ratio; Speech enhancement; State estimation; Stochastic processes; White noise;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.508163
Filename
508163
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