Improved Global Soft Decision Using Smoothed Global Likelihood Ratio for Speech Enhancement

Joon-Hyuk CHANG
Dong Seok JEONG
Nam Soo KIM
Sangki KANG

Publication
IEICE TRANSACTIONS on Communications   Vol.E90-B    No.8    pp.2186-2189
Publication Date: 2007/08/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e90-b.8.2186
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Multimedia Systems for Communications
Keyword: 
global soft decision,  SGLR,  GSAP,  MOS,  

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Summary: 
In this letter, we propose an improved global soft decision for noisy speech enhancement. From an investigation of statistical model-based speech enhancement, it is discovered that a global soft decision has a fundamental drawback at the speech tail regions of speech signals. For that reason, we propose a new solution based on a smoothed likelihood ratio for the global soft decision. Performances of the proposed method are evaluated by subjective tests under various environments and show better results compared with the our previous work.