A Statistical Model-Based V/UV Decision under Background Noise Environments

Joon-Hyuk CHANG  Nam Soo KIM  Sanjit K. MITRA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E87-D   No.12   pp.2885-2887
Publication Date: 2004/12/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
Keyword: 
V/UV decision,  statistical model,  Laplacian,  GLLR,  

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Summary: 
In this letter, we propose an approach to incorporate a statistical model for the voiced/unvoiced (V/UV) speech decision under background noise environments. Our approach consists of splitting the input noisy speech into two separate bands and applying a statistical model for each band. We compute and compare the likelihood ratio (LR) for each band based on the statistical model and estimated noise statistics for the V/UV decision. According to the simulation test, the proposed V/UV decision shows a better performance compared with the selectable mode vocoder (SMV) V/UV decision algorithm, particularly in clean and white noise environments.