现代电子技术Issue(21)：67-69,3.
基于MFCC相似度和谱熵的端点检测算法
Endpoint detection algorithm based on MFCC similarity and spectrum entropy
邓瑞 1肖纯智 1高勇1
作者信息
- 1. 四川大学 电子信息学院，四川 成都 610065
- 折叠
摘要
Abstract
In order to improve the accuracy of Voice Activity Detection (VAD) in the low signal-to-noise ratio environ-ment,an algorithm based on Mel frequency cepstrum coefficient(MFCC)similarity and spectrum entropy is proposed. The MF-CC is extracted from each speech frame,and the first ten frames of sound signal are taken as the background noises,then the MFCC correlation coefficient distance of each frame of the voice and noise is calculated,the comprehensive judgment is made in combination with the MFCC similarity distance and spectrum entropy. The experiment result shows that the new algorithm can improve the accuracy of the detection under low SNR environments compared with spectrum entropy method.关键词
语音信号处理/端点检测/Mel频率倒谱参数/相关系数/谱熵Key words
speech signal processing/endpoint detection/Mel frequency cepstrum coefficient(MFCC)/correlation coeffi-cient/spectrum entropy分类
信息技术与安全科学引用本文复制引用
邓瑞,肖纯智,高勇..基于MFCC相似度和谱熵的端点检测算法[J].现代电子技术,2013,(21):67-69,3.
