计算机工程2016，Vol.42Issue(12)：268-271,4.DOI:10.3969/j.issn.1000-3428.2016.12.045
基于多尺度样本熵与阈值的语音端点检测
Speech Endpoint Detection Based on Multi-scale Sample Entropy and Threshold
王波 1于凤芹1
作者信息
- 1. 江南大学 物联网工程学院,江苏 无锡 214122
- 折叠
摘要
Abstract
In order to overcome the defect that sample entropy can be falsely detected due to its sensitivity to the suddenly changing noise,this paper proposes a speech endpoint detection algorithm.This algorithm does the multi-scale transform for the speech signal in the time domain.The sample entropy and threshold of different scales can be calculated.The number of the sample entropy which is greater than the threshold of corresponding scale is counted and compared with the number of total scale to realize speech endpoint detection.Experimental results show that this algorithm can eliminate the mutation noise sensitivity of the sample entropy,and the detection accuracy is well improved in the low Signal Noise Ratio(SNR)conditions,compared with approximate entropy and sample entropy detection algorithms.关键词
多尺度样本熵/多尺度变换/语音端点检测/阈值/近似熵Key words
multi-scale sample entropy/multi-scale transform/speech endpoint detection/threshold/approximate entropy分类
信息技术与安全科学引用本文复制引用
王波,于凤芹..基于多尺度样本熵与阈值的语音端点检测[J].计算机工程,2016,42(12):268-271,4.
