Speech Endpoint Detection in Noisy Environment Using Bark Wavelet Transform

摘要：

This paper proposes an effective speech endpoint detection method on the basis of the modified Bark wavelet transform. A new detection parameter is constructed by introducing a scale parameter into the nonlinear mapping, and combining the singularity information of the Bark wavelet transform coefficients in different sub-bands. Besides, appropriate threshold selecting rules are tested through simulation. According to the simulation results, this method outperforms the traditional methods based on short-time energy and cepstrum distance in noisy environment.

关键词： speech endpoint detection bark wavelet transform/ scale parameter parameter extraction component

作者: Chenxiao Yin Ying Guo Bin Cai Bo Zhang

作者单位: Telecommunication Engineering Institute Air Force Engineering University Xian, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 68-71

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）