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fenxing
- 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
detection
- 基于倒谱，分形，和谱熵的语音端点检测程序，三个文件夹内对应三种程序-Cepstrum-based, fractal, and spectral entropy of speech endpoint detection procedures, the three folders corresponding to the three procedures
fenxing
- 语音端点检测小程序，利用分形方法对语音信号进行端点检测-Speech endpoint detection of small programs, using fractal method for endpoint detection of speech signals
endpoint_detection
- 噪声环境下的端点检测在语音信号分析和识别中占有重要地位。文中将分形理论中的分形记盒维数应用到端点检测算法中，采用了基于分形记盒维数与短时能零比相结合的端点检测算法，以分形记盒维数为主要判决条件，并在判决门限的设定上采用了自适应机制。-Noise environment endpoint detection in speech signal analysis and identification play an important role. Wen will be fractal theory
fexingzaiyuyinzhongdeyingyong
- 几篇分形理论在语音信号处理中应用的文献，主要应用于去噪和断点检测-Several fractal theory applications in speech signal processing literature, mainly used in denoising and break detection
fenxingwaiwen
- 几篇分形的外文文献，来自IEEE，其中介绍分形在语音处理上的应用，有设计到分形维数轨迹的构造-Several fractal foreign literature, from the IEEE, which describes the fractal applications in speech processing, there are design to track the fractal dimension of the structure
yuyinshibie
- 语音识别的文献总汇，包括非线性，混沌和分形-The speech recognition literature club, including nonlinear, chaos and fractal