DocumentCode
1330590
Title
Spectral enhancement based on global soft decision
Author
Kim, Nam Soo ; Chang, Joon-Hyuk
Author_Institution
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume
7
Issue
5
fYear
2000
fDate
5/1/2000 12:00:00 AM
Firstpage
108
Lastpage
110
Abstract
In this letter, we propose a novel speech enhancement technique based on global soft decision. The proposed approach provides a unified framework for such procedures as speech absence probability (SAP) computation, spectral gain modification, and noise spectrum estimation using the same statistical model assumption. Performances of the proposed enhancement algorithm are evaluated by subjective tests under various environments and show better results compared with the IS-127 standard enhancement method.
Keywords
parameter estimation; probability; spectral analysis; speech enhancement; global soft decision; noise spectrum estimation; spectral enhancement; spectral gain modification; speech absence probability computation; speech enhancement technique; statistical model; subjective quality tests; Frequency; Gaussian distribution; Gaussian noise; Noise robustness; Performance evaluation; Probability; Spectral analysis; Speech enhancement; Testing; Working environment noise;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.841154
Filename
841154
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