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In this paper we propose a method for voice
activity detection (VAD) in a speech signal recorded in the
presence of noise. The so-called endpoint detection (EPD),
i.e., detection of voice activity (speech) boundaries is very
difficult if the
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语音端点检测的各种论文，包括MFCC、过零率、短时能量、小波以及谱熵等方法，对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
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基于matlab的语音端点检测代码，研究参数短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
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基于matlab的语音端点检测方案设计，主要关于短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
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语音信号处理的一些函数，包括短时谱、自相关、短时能量、过零率等-Some functions of speech signal processing, including short-term spectrum, autocorrelation, short-term energy, zero-crossing rate, etc.
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