Dai Qijun1,Ｂian Zhengzhong1,Chen Yanpu2,Zhang Jieqiu3
(1.School of Life Science and Technology,Xi'an Jiaotong Univercity 710049,China;
2.Xi'an Communication College; 3.Airforce Engineering University)
Abstract:An improved speech/silence detector is developed by combining a noise parameter estimation method based on short time stationarity of speech signal with a statistical model based speech/silence detection method. The effect of decision threshold value and flatness factor on the detection performance has been studied. The proposed method can estimate noise parameter in all the frames, so the detection can be more exact. Test shows that the proposed method is robust and the detection performance holds good results even if the background noise is a slowly time varying non-stationary process. For diverse applications, the decision threshold value should be optimized with the flatness factor.
Keywords:speech signal;noise parameter;likelihood ratio;speech/silence detector