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gmfcc
- 语音识别的特征参数提取算法——Mel倒谱参数提取（MFCC）可以作为语音识别特征参数。-Speech recognition feature extraction algorithm- Mel cepstrum extraction (MFCC) feature parameters as speech recognition.
VQ-pattern-recognition
- VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．-VQ pattern recognition algorithms and experimental sound. Ab
voice
- 采用增减特征分量的方法研究了MFCC 各维倒谱分量对说话人识别和语音识别的贡献-Changes in characteristics of components using the method of the MFCC cepstrum of each dimensional component of the speaker recognition and speech recognition of the contribution
SR3
- 利用倒谱法对语音信号进行处理，其中语音信号可从本地上获取-Using cepstrum of speech signal processing, in which the speech signal can be obtained from the local
SRandRec
- 该源码为语音识别实验平台，算法为DTW+梅尔倒谱系数，并且包含录音函数，方便大家在此平台进行语音识别算法研究。-The source test platform for speech recognition, the algorithm for the DTW+ Mel cepstrum, and includes recording function, we facilitate a voice in this platform Recognition Algorithm.
chapter5_1
- 倒谱的matlab实现,先用cool edit 软件录制歌曲-the relization of cepstrum of Matlab
speech-recognition
- 语音识别系统，包括预处理，汉明窗，梅尔频率倒谱率，离散余弦变换，前置滤波器组，对数能量，滤波器组，基本的滤波器组，dtw-speech recognition system，including Pretreatment, Hamming window, Mel frequency cepstrum rate, discrete cosine transform, pre-filter, log energy, filter, basic filter，dtw
hmqing256
- 读取语音信号 对语音信号进行分帧 加窗 傅立叶变换 并且实现倒谱-Read the speech signal of the voice signal framing windowed Fourier transform and the realization of cepstrum
juxingchuang
- 读取语音信号 对语音信号进行分帧 加矩形窗 傅立叶变换 并且实现倒谱-Read the speech signal of the voice signal framing plus Fourier transform rectangular window and realize cepstrum
disizu
- 实现信号的频谱分析，倒谱分析，FFT分析，白噪声序列分析-For signal spectrum analysis, cepstrum analysis, FFT analysis, white noise sequence analysis
MFCC-
- 展示了MFCC倒谱参数在语音识别和 声调识别中的作用-Shows the MFCC cepstrum parameters in speech recognition and tone recognition of the role
Cepstrumimprove
- 关于基音周期的提取，倒谱法的改进，利用预测余量-On the pitch period extraction, improved cepstrum method, the use of margin forecast
pitchdetect
- 在语音的倒谱中，将语音的短时谱经过变换后，在倒谱中用于基音检测。-For pitch detection.
cepst
- 本程序组提供了用倒谱方法来提取语音信号的基音-This program group provides a way to extract using cepstrum pitch of speech signals
CFDerb
- 复倒谱域滤波去除信号混响成分。利用复倒谱域变换与复倒谱滤波的方式去除单通道语音信号中的混响成分，提高语音质量。-Complex cepstrum domain filtering to remove the reverberation signal component. Using complex cepstrum and complex cepstrum domain transform filter Wave way to remove single-channel voice sign
LPC-speech
- 对加窗后的语音帧计算lpc系数.用倒谱的方法求频谱 加海明窗的原始语音帧LPC倒谱.-Calculate lpc coefficients of the windowed speech frames. Cepstrum and spectrum the Jia Haiming window of the original speech frame LPC cepstrum.
cepstrum
- 实现读入一段语音，并求出这段语音的倒谱，绘出波形图。-Realize read in a speech, and work out a speech cepstrum, draw waveform figure.
pitchdetect
- 利用求语音信号倒谱的方法，对语音信号进行基音检测，并绘制出波形图。-Use for speech signal spectrum method of fall, the speech signal pitch detection, and rendering the waveform figure.
frequency-domain
- 语音信号的频域分析，包括短时谱，倒谱，LPC谱的程序，以及端点检测的程序-Voice signals in the frequency domain analysis, including short-time spectrum, cepstrum, LPC spectrum procedures, as well as the endpoint detection procedures
matlab-code
- 信号处理，数据录入，傅里叶变换，计算频谱及倒谱！-Signal processing, computing the spectrum and cepstrum