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噪声环境下语音多子带端点检测方法
引用本文:林兴华,肖熙.噪声环境下语音多子带端点检测方法[J].电声技术,2011,35(9):34-37.
作者姓名:林兴华  肖熙
作者单位:清华大学电子工程系,北京,100084
摘    要:为了克服传统端点检测算法在有噪环境下的不足,提出了一种新的语音多子带端点检测算法,它能根据子带背景噪声大小动态设置门限.实验结果表明,所提出的算法较传统的检测方法有更好的检测性能.

关 键 词:语音信号处理  端点检测  语谱图  子带

Sub-bands Endpoints Detection of Noisy Speech
LIN Xinghua,XIAO Xi.Sub-bands Endpoints Detection of Noisy Speech[J].Audio Engineering,2011,35(9):34-37.
Authors:LIN Xinghua  XIAO Xi
Affiliation:(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)
Abstract:In order to overcome the shortcoming of the traditional speech endpoints detection algorithm in noisy environment, a new multiple sub-bands speech endpoints detection algorithm is proposed in this paper, which can dynamically adjust the threshold according to sub-bands background noise. Experimental results show that the proposed method has good detection performance compared with the other baseline algorithms.
Keywords:speech signal processing  endpoint detection  spectrograph  sub-band
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