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A Single Channel Voice Activity Detection for Noisy Environments Using Wavelet Packet Decomposition and Teager Energy

웨이블렛 패킷 변환과 Teager 에너지를 이용한 잡음 환경에서의 단일 채널 음성 판별

Boneung Koo1*
구 본응1*
1경기대학교 전자공학과
*교신저자. *Corresponding Author. 
31 March 2014. pp. 139-145
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Abstract

In this paper, a feature parameter is obtained by applying the Teager energy to the WPD(Wavelet Packet Decomposition) coefficients. The threshold value is obtained based on means and standard deviations of nonspeech frames. Experimental results by using TIMIT speech and NOISEX-92 noise databases show that the proposed algorithm is superior to the typical VAD algorithm. The ROC(Receiver Operating Characteristics) curves are used to compare performance of VAD’s for SNR values of ranging from 10 to -10 dB.

Keywords
Voice activity detection
Speech pause detection
Teager energy
Wavelet packet decomposition
Noise-robustness
Single channel

본 논문에서는 WPD (Wavelet Packet Decomposition) 계수에 Teager 에너지를 적용한 특징 계수를 임계값 알고리듬에 적용하여 잡음에 강인한 VAD 알고리듬을 제안하였다. 임계값은 비음성 구간의 평균과 표준편차를 추산하여 설정하였다. TIMIT 음성과 NOISEX 잡음 데이터베이스를 사용한 실험 결과, 제안된 알고리듬이 기존의 대표적인 비교 대상 알고리듬보다 우수함을 보였다. 정확도는 SNR 10 dB부터 -10 dB까지 ROC (Receiver Operating Characteristics) 곡선을 사용하여 비교하였다.

키워드
음성 탐지
비음성 탐지
Teager 에너지
웨이블렛 패킷 변환
잡음 강인성
단일 채널
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 33
  • No :2
  • Pages :139-145
  • Received Date : 2013-12-06
  • Accepted Date : 2014-01-24
  • DOI :https://doi.org/10.7776/ASK.2014.33.2.139
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