JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Robust Entropy Based Voice Activity Detection Using Parameter Reconstruction in Noisy Environment |
| 영문제목(English Title) |
Robust Entropy Based Voice Activity Detection Using Parameter Reconstruction in Noisy Environment |
| 저자(Author) |
Hag-Yong Han
Kwang-Seok Lee
Si-Young Koh
Kang-In Hur
|
| 원문수록처(Citation) |
VOL 01 NO. 04 PP. 0205 ~ 0208 (2003. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Voice activity detection is a important problem in the speech recognition and speech communication. This paper introduces new feature parameter which are reconstructed by spectral entropy of information theory for robust voice activity detection in the noise environment, then analyzes and compares it with energy method of voice activity detection and performance. In experiments, we confirmed that spectral entropy and its reconstructed parameter are superior than the energy method for robust voice activity detection in the various noise environment. |
| 키워드(Keyword) |
Noisy Speech
Voice Activity Detection
Entropy
|
| 파일첨부 |
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