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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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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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algorithm for Voice Activity Detection
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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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the standard AMR1 voice activity detection
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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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VIS H.323 Library符合下列标准
ITU-T H.323 V3
音频codec(支持静音检测)
g.723.1 6.4kbps发送,6.4/5.3kbps接收
g.729a 8kbps发送,8kbps接收(仅在单一模式下可用)
-VIS H.323 Library meet the following criteria ITU-T H.323 V3 audio codec (supports Voice Activity Detection) g.723.
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这个是基于多带谱熵的能量语音检测,这种处理的效果很好,比传统的谱熵检测效果还明显!-This is based on multi-bands Entropy energy voice activity detection, such an approach worked well, than the traditional spectral entropy test the results were obvious!
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这个是多带谱语音检测,多带谱不仅具有谱熵的有点,还具有能量分析的有点,所以检测的效果很好!-This is a multi-band spectra of voice activity detection, multi-spectral bands not only has a bit of entropy, also has a bit of energy analysis, so the effect of a very good test!
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voice activity detection and dynamique time warping in real time DSP simulink
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语音端点检测,门限法包括短时能量、过零率-Voice activity detection, threshold laws, including the short-term energy, zero crossing rate, etc.
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is a project about voice activity detection is more theoretichal things-is a project about voice activity detection is more theoretichal things
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包含语音端点检测、基本语音处理算法MFCC、LPCC等,具有较高参考价值-Including voice activity detection, basic voice processing algorithms MFCC, LPCC, etc., with high reference value
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在BCB平台上的语音端点检测程序,直接调用函数即可实现检测 而且标注清晰
返回的数据 为重新组合的语音!-In the BCB platform of voice activity detection program, call the function can be realized directly detect and mark a clear return to the data re-combination of voice!
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基于高阶统计方法改进的自适应多速率话音激活检测算法-Improved statistical methods based on high order adaptive multi-rate voice activity detection algorithm
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一种用于3G 系统中复杂背景噪声环境下的话音激活检测算法-One for 3G systems under complex background noise environment, voice activity detection algorithm
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