Speech Endpoint Detection with Low SNR Based on HHTSM

摘要：

The article presents a detection method on HilbertHuang Transform Spectral Matrix (HHTSM) for improving speech endpoint detection accuracy in low signal-tonoise ratios (SNR). The method analyses signal timefrequency-energy distribution with Hilbert-Huang Transform (HHT), and constructs HHTSM by frames. The frame 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.

关键词： Signal Processing HHTSM HHT Signal Detection Low SNR

作者: LIU Bai-sen Zhang Ye Zhang Wu-lin

作者单位: dept. of Information Engineering Harbin Institute of Technology Harbin, China dept. of Electronic En dept. of Information Engineering Harbin Institute of Technology Harbin, China Information and Communication Engineering College Harbin Engineering University Harbin, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 1839-1842

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）