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端点检测(短时能量,短时平均幅度,短时过零率),short-term spectrum,spectrogram,End point detection
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语音信号的端点检测分析,有短时能量分析,短时过零率分析,和终点检测-Endpoint detection of speech signal, a short-term energy analysis, short-term rate of zero, and the end point detection
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声音文件的过零检测。是一个非常有用的程序,在所有的声音文件处理中都可能用到。实际上是检测voice signal 的start-point和end-point-Sound files of zero-crossing detection. Is a very useful procedure, in all the sound files are likely to be used to deal with. Voice signal is actually detecting the star
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This function is remove the unvoice section from the voice. Which is end point detection by using rabiner algorithm.
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End Point Detection algorithm using Variable frame rate
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End Point Detection algorithm
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End POint detection algorithm using Energy-ZCR
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简单的基于门限值的语音端点检测。先将数字化的语音信号封装成帧,利用最大的帧幅值乘以一个比例因子得到门限值-Simple threshold-based voice end point detection. First,framing the digital voice signal , then using the maximum amplitude to multiply a frame scale factor to get threshold
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this a speech recognition code based on vector qunatisation wid end point detection.-this is a speech recognition code based on vector qunatisation wid end point detection.
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端点检测是指用数字处理技术来找出语音信号中的各种段落(如音素、音节、词素、词等)的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样,将其分帧并计算短时能量和过零率参数,然后进行端点检测。这种工作方式被称为离线处理方法 ,无法实现语音信号的实时处理,对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件,在MATLAB环境下将其嵌入到figure窗口中,以GUI程序的方式使用,实现语音信号端点检测的实时处
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信号的端点检测,语音端点检测就是指从包含语音的一段信号中确定出语音的起始点和结束点。 正确的端点检测对于语音识别和语音编码系统都有重要的意义。-Signal endpoint detection, voice activity detection means from the voice of a signal containing a voice to determine the starting point and end point. The right endpoint detectio
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end point detection or silence removal i.e to remove voiced or unvoiced speech
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