대한음성학회:학술대회논문집 (Proceedings of the KSPS conference)
- 대한음성학회 2005년도 추계 학술대회 발표논문집
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- Pages.59-62
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- 2005
음성의 주기성과 QSNR을 이용한 잡음환경에서의 음성검출 알고리즘
Voice Activity Detection Algorithm Using Speech Periodicity and QSNR in Noisy Environment
- Jeong, Ju-Hyun (Dept. of Electronics Engineering, Pusan National University) ;
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Song, Hwa-Jeon
(Dept. of Electronics Engineering, Pusan National University) ;
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Kim, Hyung-Soon
(Dept. of Electronics Engineering, Pusan National University)
- 발행 : 2005.11.17
초록
Voice activity detection (VAD) is important in many areas of speech processing technology. Speech/nonspeech discrimination in noisy environments is a difficult task because the feature parameters used for the VAD are sensitive to the surrounding environments. Thus the VAD performance is severely degraded at low signal-to-noise ratios (SNRs). In this paper, a new VAD algorithm is proposed based on the degree of voicing and Quantile SNR (QSNR). These two feature parameters are more robust than other features such as energy and spectral entropy in noisy environments. The effectiveness of proposed algorithm is evaluated under the diverse noisy environments in the Aurora2 DB. According to out experiment, the proposed VAD outperforms the ETSI Advanced Frontend VAD.
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