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A Statistical Model-Based V/UV Decision under Background Noise Environments
Joon-Hyuk CHANG Nam Soo KIM Sanjit K. MITRA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/12/01
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
V/UV decision, statistical model, Laplacian, GLLR,
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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.