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
fDate :
5/1/2000 12:00:00 AM
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;
Journal_Title :
Signal Processing Letters, IEEE
