A Speech Endpoint Detection Algorithm Based on Wavelet Transforms

摘要：

　　This paper highlights the sub-band average energy variance(SBAEV)approach to perform the endpoint detection process,which involves the segmentation of speech signals from non-speech signals.The SBAEV models have been proposed to perform endpoint detections of isolated digit utterances spoken in the Language.Experiment results obtained from this method are acoustically verified,visually checked and compared to the conventional method of endpoint detection.It was found that the endpoint detection accuracy using the SBAEV approach is very high and encouraging.

关键词： endpoint detection wavelet transforms sub-band average energy variance

作者: Cao Yali La Dongsheng Jia Shuo Niu Xuefen

作者单位: Northeastern University at Qinhuangdao,066004

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 3010-3012

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）