首页 | 本学科首页   官方微博 | 高级检索  
     

一种改进的基于谱熵的语音端点检测技术
引用本文:武传艳,范影乐,庞全.一种改进的基于谱熵的语音端点检测技术[J].计算机工程与应用,2006,42(1):56-57,88.
作者姓名:武传艳  范影乐  庞全
作者单位:杭州电子科技大学自动化研究所,杭州,310018
基金项目:中国科学院资助项目;浙江省自然科学基金;浙江省教育科研项目
摘    要:论文提出了基于时频谱减增强和谱熵的语音端点检测算法。算法对带噪语音在频域利用谱减法去除宽带加性噪声,在时域去除由谱减带来的残差噪声从而对语音进行了增强。对增强后的语音利用谱熵特征进行端点检测。实验结果表明,此算法快速有效,具有较强的抗噪能力,特别适合低信噪比的语音端点检测。

关 键 词:谱熵  谱减法  语音端点检测
文章编号:1002-8331-(2006)01-0056-02

An Improved Speech Endpoint Detection Based on Spectral Entropy
Wu Chuanyan,Fan Yingle,Pang Quan.An Improved Speech Endpoint Detection Based on Spectral Entropy[J].Computer Engineering and Applications,2006,42(1):56-57,88.
Authors:Wu Chuanyan  Fan Yingle  Pang Quan
Affiliation:Automation Institute, Hangzhou Dianzi University, Hangzhou 310018
Abstract:In this paper,an improved method of speech endpoint detection based on time-frequency enhancement and spectral entropy is proposed.Under lower SNR,conventional methods can't perform well in endpoint detection.In this paper,the noise speech is enhanced using spectral subtraction method in spectral domain to remove the additive noises.In time domain,a weighting function built by short-time energy and zero-cross-rate is used to remove the music noise produced by the spectral subtraction.Entropy based method is used to detect the endpoints.Experiment results show that it outperforms the entropy based without enhancement endpoint detection under lower SNR.
Keywords:spectral entropy  spectral subtraction  speech endpoint detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号