资源列表
voice-box-GMM
- 语音处理GMM相关算法,1.计算概率密度并画出高斯混合模型，2.计算边际，条件混合高斯密度,3估计两个GMM模型的Kullback-Leibler divergence。-GMM relating to speech processing algorithms.1,to calculate probability densities from or plot a Gaussian mixture model.2,marginal and conditional Gaussian mixture
yuyinjipin
- 加入3点或5点中值平滑处理后再绘制上述基频曲线与未平滑曲线比较，观测完整一段话音的基频包络变化情况-Add to 3:00 or 5:00 in the value of the smoothing then draw the base frequency curve is not a smooth curve compared with the observed period of complete voice baseband envelope changes
yuyinxuebo
- 利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中-Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the funda
eina-0.8.0
- 非常好的多媒体播放器，功能很强大，代码很精简，可以直接使用-A very good multimedia player, features a very powerful, the code is very simple, can be used directly
cepstrum-and-pitch-tracking
- 倒谱分析和基音检测，包含源代码和测试语音-Cepstrum and pitch tracking
the-basic-analysis-of-speech
- 语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过-time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager
c_fir_ppt
- C语言写得FIR滤波器代码，简单实用，是学习滤波器设计的好材料，附带PPT滤波器设计说明-C language written FIR filter code, simple and practical, is a good learning materials of filter design, with PPT filter design
pass
- 简单语音处理，包括高通、低通、带通以及带阻滤波器的滤波。对语音处理有基本的认识-Simple speech processing, including high-pass, low-pass, band-pass and band-stop filter filtering. For a basic understanding of speech processing
fir
- 对语音信号进行滤波，得到清晰度提高的信号。通带频率600Hz；截止频率Fc为1200Hz；通带衰减为1dB，阻带衰减为30dB。使用的窗函数类型为Hanning 窗。-design of fir filter,get the original voice without noise
iir
- 语音信号的iir滤波器设计,从带有噪音的信号中提取原始声音.目前，MP3播放器一般功率放大器的工作频率范围就是这个范围。但是大部分有用的和可理解的信息的频率在200到3500Hz之间。所以我们可以在这个范围间滤波，达到使声音可理解的要求。现将数字滤波器的设计指标设为通带截止频率fb=600HZ,阻带频率fc=1200HZ,通带波纹Ap=1dB，阻带波纹As=40dB,要求确定H(z)。-design of the iir filter, get the original voice withou
Synthetic Speech Detector Example
- Detects synthetic speech based on interframe difference of log likelihood of claimed speaker s GMM.
PNCC2012KimStern
- PNCC paper, Kim, Stern, Machine Learnin.