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语音端点检测是语音识别中至关重要的技术。无论军用还是民用，语音端点检测都有着广泛的应用。在低信噪比的环境中进行精确的端点检测比较困难，尤其是在无声段或者发音前后-voice activity detection is critical speech recognition technologies. Whether military or civilian, voice endpoint detection have broad application. Low signal-to-noise
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语音端点检测，VC+matlab混合编程，这个文件是包含语音端点检测的代码,用的是时频参数算法,Speech Endpoint Detection, VC+ Matlab mixed programming, this document is contained in voice activity detection of code, using a time-frequency parameters algorithm
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为提高语音端点检测(VAD)在较低信噪比(10 dB)下的准确率,提出一种基于短时分形维数的改进算法。结合语音信号的特点,对2种常用的语音信号分形维数计算方法进行了比较和选择,同时采用动态跟随门限值实现语音端点的自适应检测。试验结果表明:对于信噪比6~10 dB的带噪语音,此方法可以实现整段语音的检测,而且具有一定的噪声鲁棒性,系统运行期间能够自适应调整门限值以适应环境噪声的变化,提高了VAD算法的准确率。这个是源码matlab。-In order to improve voice activi
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语音参数短时能量，短时过零率，短时平均幅度，语音端点检测，fft变换与反变换-Voice parameters of short-time energy, short-time zero-crossing rate, short-term average rate, voice activity detection, fft transform and inverse transform
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清华大学关于语音端点检测的论文 清华大学关于语音端点检测的论文-Tsinghua University, on Speech Endpoint Detection Tsinghua University dissertation on the voice activity detection paper on Speech Endpoint Detection Tsinghua papers
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有关语音端点检测的论文，有连续语音的，觉得挺好的，看看有好处-Voice activity detection of the paper, there are continuous speech, and feel good and look good
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语音端点检测，以及基于短时能量的语音增强的减谱法，matlab文件。-Voice activity detection, as well as short-term energy-based speech enhancement by spectral method, matlab file.
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Voice enabled applications over the Internet are
rapidly gaining popularity. Reducing the total bandwidth require-
ment can make a non-trivial difference for the subscribers having
low speed connectivity. Voice Activity Detection algorithms for
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语音端点检测程序，利用倒谱方法对语音信号进行端点检测，效果不错-Voice activity detection procedure, and use of the speech signal cepstrum method for endpoint detection, good results
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双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测。-double door ,speech endpoint detection
two games adjust itself
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用于语音端点检测，可以将连续语音分割为孤立词。-For voice activity detection, continuous speech can be split into isolated words.
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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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基于matlab的语音端点检测的程序，用于检测语音端点并在波形图中作出标记-Matlab speech endpoint detection based on the procedures used to detect voice activity and make a mark in the waveform
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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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An Automatic Gain Controller (AGC) for speech signals embedded in additive noise requires Voice Activity
Detection (VAD) to avoid noise amplification, a peak level detector for computing gain, and a gain
controller for adjusting gain. This paper
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voice activity detection algorithm for continuous speech
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voice activity detection for isolated speech
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In this paper we present a robust voice activity detection
algorithm which enables further bit rate reduction for practical
speech communication systems. -In this paper we present a robust voice activity detection
algorithm which e
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语音端点检测程序 基于matlab 程序安全可用 测试通过-Speech endpoint detection program is based on the test the matlab application security available through
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Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These
parameters must often be estimated from noisy observations since speech signals are
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