搜索资源列表
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语音基本间隙检测算法,voice activity detection-basic voice Gap Detection Algorithm, voice activity detection
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活动语音检测,语音开发中的重要算法,尤其是在voip中广泛使用。该算法简单明了。-voice activity detection, voice development of the algorithm, especially in the widely used voip. The algorithm is simple and clear.
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该程序是AMR-WB+声码器中的VAD(Voice Activity Detection)程序.测试时使用8kHz采样率,16bit量化的wav文件.
-AMR-WB Vocoder the VAD (Voice Activity Dete ction) program. test the use of 8 kHz sampling rate and 16bit wav quantify the document.
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vad(语音活动检测)的matlab代码,采用频域的方法计算信噪比。-vad (voice activity detection) Matlab code, using frequency-domain approach to calculate the signal-to-noise ratio.
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用于进行语音端点检测,可以方便的检测语音文件的端点,并用GUI图形显示-used for voice activity detection, to facilitate the detection of voice endpoint documents, and graphics display with GUI
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基于自适应子带频谱熵的稳健性语音端点检测,自己写的,希望对大家有帮助。-based on adaptive sub-band spectrum entropy stability voice activity detection, wrote it myself, and I hope to be helpful.
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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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DSP 语音端点检测资料\\基于DSP实现语音端点检测-DSP voice endpoint detection information \\ DSP-based voice activity detection
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这是一个绝对可以用的voice activity detection 程序。声音文件已经被变成数组存在w数组中。程序会输出1或者0表示当前帧是否有人声。cheers
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语音端点检测Matlab程序,附带计算信噪比的Matlab子程序,文本文档内是常用语音库的下载网址,非常使用-Voice activity detection Matlab program calculated signal to noise ratio with Matlab subroutine, the text is a common voice within the document library to download URL is used
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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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基于客观测试方法针对普通话的AMR 话音激活检测算法性能分析-Mandarin based on objective testing methods for the AMR voice activity detection algorithm performance analysis
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基于短时能量和短时过零率来实现语音端点检测。也称为双门限比较法,是一种传统的
语音端点检测方法。现在已经有研究人员提出若干其他更加高效和有效的检测方法,但
是这个方法不失为一种最简单的方法,可以通过程序来获得语音端点检测的感性认识和
体会。内的程序读取WAV文件,程序附有详细的使用说明和注释,以及若干测试用的语音文件。-Based on the short-term and short-term energy to achieve zero rate of voice activit
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传统的有声无声检测方法只能在相对安静的环境下(<20dB)进行。因此传统方法不能满足噪声环境下的检测要求;另一方面,一直以来,单通道语音增强没有取得突破性进展,一个很重要的原因是没有找到高效的有声无声检测方法。研究了一种有声/无声检测算法是根据信号低频带、高频带短时能量包络的动态变化范围来判别噪声和含噪语音。对每一帧输入信号,通过与预先设定的一系列门限值比较来判断该帧是信号帧还是噪声帧。本设计使用了这种检测方法,选用北京瑞泰创新科技有限公司开发CETECK-VC33-D板,配合自己制作的前
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VAD检测源代码,可作为声控的启停判断,已经过验证,在使用时修改具体的能量阈值-VAD detection of the source code can be used as voice-activated start and stop judging, has been verified when using modified specific energy threshold
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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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Three useful function to use in voice activity detection. Coper Algorithm, which is a simple software to detect voice activity and cuold be used to help in the final decision. A function to interpolate an unknown value. And hamming function to split
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MFCC特征提取算法以及语音端点检测源码-MFCC feature extraction algorithm and voice activity detection source
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短时能量 过零率 语音端点检测 连续语音-Short-term energy Zero crossing rate Voice activity detection
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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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