A Statistical Model-Based V/UV Decision under Background Noise Environments(Speech and Hearing)
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概要
- 論文の詳細を見る
In this letter, we propose an approach to incorporate a statistical model for the voiced/unvoiced (V/UV) speech decision under back-ground 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.
- 社団法人電子情報通信学会の論文
- 2004-12-01
著者
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CHANG Joon-Hyuk
Department of Electronic Engineering, Inha University
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Mitra S
Department Of Electrical And Computer Engineering University Of California At Santa Barbara
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Chang Joon-hyuk
Department Of Electrical And Computer Engineering University Of California At Santa Barbara
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KIM Nam
Institute for Laser Science, Univ.of Electro-Communications
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Mitra Sanjit
Department Of Electrical And Computer Engineering University Of California
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Kim Nam
Institute Of New Media And Communications School Of Electrical Engineering And Computer Science Seou
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Kim Nam
Institute For Clinical Research College Of Medicine Pochon Cha University
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