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35973510VAD-DTW-HMM
基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)
- 2017-12-14 20:49:03下载
- 积分：1
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Cepstrum
这是语音信号处理中求倒谱的程序,我自己编的,很简单,实现了一段序列求倒谱的功能(This is the voice signal processing for cepstrum procedures, I developed, is very simple. achieve a sequence for the functional cepstrum)
- 2006-10-11 20:12:24下载
- 积分：1
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dawabazecoincidental
说明： C / winform_ multiple forms transfer data operations between each othe
- 2019-05-09 10:15:02下载
- 积分：1
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psola
psola算法的设计与实现，经过调试已经可以运行(psola Algorithm Design and Implementation, after debugging has to run)
- 2007-10-16 11:42:05下载
- 积分：1
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语音信号降噪之小波分解法
语音信号处理--降噪方法之小波分解法 MATLAB例程(Speech Signal Processing--A MATLAB Routine of Wavelet Decomposition Method for Noise Reduction)
- 2020-07-04 19:00:01下载
- 积分：1
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AFD1-AFD2
光伏孤岛检测经典移相法，移频法，还有被动识别法的仿真(PV islanding detection classical phase shift method, the shift frequency, as well as passive identification method simulation)
- 2013-03-21 10:43:18下载
- 积分：1
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GMM_SID
用于说话人识别（声纹识别）中训练过程和识别过程的高斯混合模型程序(GMM model for the training process or test process of speaker identification)
- 2012-08-16 11:39:59下载
- 积分：1
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speech
语音自动识别技术，采用C++编程，可以给做语音识别的提供参考(Automatic speech recognition technology, using C++ programming, you can do to provide a reference for Speech Recognition)
- 2009-10-15 22:20:29下载
- 积分：1
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tibaoluo
基于倒谱短时部分反映了语音的声道特性，先用汉明窗取一帧语音，然后经变换得到语音倒谱，将倒谱短时部分取出，进行正交反变换后将得到声道的对数谱，即得到语音频谱的包络。将频谱包络和频谱画在一张图上，有很好的对比效果。获取的包络效果十分好。(Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, and speech cepstrum obtained by converting the cepstrum short segment out inverse orthogonal transform to obtain channel will of the spectrum, i.e. to obtain the envelope of the speech spectrum. The spectral envelope and spectral painted on a chart, there is a good contrast. Get the envelope effect is very good.)
- 2013-11-01 14:13:17下载
- 积分：1
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LPCC
线性预测倒谱系数（Linear Prediction Cepstrum Coefficient,LPCC）是线性预测系数（Linear Prediction Coefficient,LPC）在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设，利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)
- 2018-04-18 16:27:27下载
- 积分：1
