计算机与数字工程2011，Vol.39Issue(4)：1-4,4.
基于小波包的语音谱熵端点检测方法研究
Method Research of Speech Spectral Entropy Endpoint Detection Based on Wavelet Packet
摘要
Abstract
Endpoint detection is an important link in the speech recognition process, therefore, improving the effectiveness of Endpoint detection is an important subject in speech recognition field. In order to increase the accuracy of speech endpoint detection in background noise, a method research of spectral entropy endpoint detection based on wavelet packet is proposed. This method transforms speech signal with wavelet packet, each frame signal is decomposed into multiple sub-bands,on this basis sub-band energy of each frame signal is calculated, spectral entropy of each frame signal is computed through sub-band energy proportion, finally new threshold is determined. Simulation experiment shows that this method is more effective and more superior than traditional methods, which could comparative accuratly detect speech signal.关键词
小波包/谱熵/端点检测/短时能量/过零率Key words
wavelet packet/ spectral entropy/ endpoint detection/ short energy/ cross zero ratio分类
信息技术与安全科学引用本文复制引用
王钟斐,王彪,李建文..基于小波包的语音谱熵端点检测方法研究[J].计算机与数字工程,2011,39(4):1-4,4.基金项目
国家自然科学基金项目(编号:60672001) （编号:60672001）
陕西省教育厅专项基金(编号:05JC03)资助. （编号:05JC03）
