Speech Endpoint Detection with Low SNR Based on HHTSM

摘要：

　　Speech endpoint detection is difficult in low SNR environment.The article presents a detection method based on Hilbert-Huang Transform Spectral Matrix (HHTSM) for improving speech endpoint detection accuracy in low signal-to noise ratios (SNR).The method analyses signal time-frequency energy distribution with Hilbert-Huang Transform (HHT), and constructs HHTSM by frames.The flame size is chosen by energy focus character.The speech and noise energy distribution can be distinguished by HHTSM in low SNR.By estimating noise energy distribution, it sets threshold automatically.The result indicates that the method can detect speech endpoint effectively in the negative SNR.So the method based on HHTSM is effective.

关键词： Signal Processing HHTSM HHT Signal Detection Low SNR

作者: Liu Baisen Zhang Ye Zhang Wulin

作者单位: dept.of Electronic Engineering,Heilongjiang Institute of Technology,Harbin,China;dept.of Information dept.of Information Engineering,Harbin Institute of Technology,Harbin,China dept.of Information Engineering,Harbin Institute of Technology,Harbin,China;Information and Communic

会议类型: 国际会议

会议名称: 2013 IEEE 11th International Conference on Electronic Measurement & Instruments(第十一届IEEE国际电子测量与仪器学术会议)

会议地点: 哈尔滨

会议语种:英文

页码: 116-119

在线出版日期: 2013-08-16（万方平台首次上网日期，不代表论文的发表时间）