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mfcc
- MFCC已经广泛地应用在语音识别领域。由于Mel频率与Hz频率之间非线性的对应关系，使得MFCC随着频率的提高，其计算精度随之下降。因此，在应用中常常只使用低频MFCC，而丢弃中高频MFCC。这个程序是求MFCC 的-MFCC has been widely used in speech recognition. Mel frequency Hz as a nonlinear correspondence relationship between the frequency, such as t
mel-pca
- MFCC特征提取实例 MFCC特征提取实例 -Examples MFCC feature extraction
mfcc--lunwen
- mfcc的mel特征参数提取，步骤详细。-The mel mfcc feature extraction, the steps detailed.
dtw
- 用matlab实现特定人的单个词识别，采用dtw算法，主要用到了语音端点检测、语音分帧、梅尔倒谱系数等，文件中含有0-9个输入模版语音，作为参考模版信号。-Using matlab to achieve a specific person single word recognition, using dtw algorithm, mainly used in the voice activity detection, voice sub-frame, Mel Cepstral, etc., do
aa
- 从一段语音中提取其梅尔倒谱，很好用，简单易懂-Extract it from a voice Mel cepstrum, useful, easy to understand
melbankm
- 应用于语音识别，通过设置参数实通过mel滤波器组得到标准倒谱系数-Used in speech recognition, by setting parameters through the mel filter bank to get the real standard cepstral
YY_RTS
- maya渲三屏工具,maya2009测试成功！！mel直接拖入maya窗品即可运行.-maya rendering three-screen tools, maya2009 test is successful! ! mel goods directly dragged into the window to run maya
mfcc
- 这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。-This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.
melcepst
- 计算Mel倒谱系数的matlab程序，非常经典的一个程序。-MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
melbankm
- 这个函数也要被melcepst函数调用，用来进行计算Mel倒谱系数。这个函数的作用是构造mel滤波器组。-This function must be called melcepst function is used to calculate Mel cepstral coefficients. The role of this function is to construct mel filter bank.
speaker-recognition
- mfcc用于求取训练样本的特征值，其需要melbankm和enframe两个程序。 enframe用于将语音分帧，melbankm用于产生mel三角滤波器组，vqlbg用于获取说话人码书，disteu程序用于计算两个矩阵间的距离，-mfcc strike eigenvalues for the training sample, which requires melbankm and enframe two procedures. enframe for the v
MFCC-Matlab-Code
- MFCC Function for Mel cepstra coefficients in Matlab
Gammashirp-filter
- In this paper, we figure out the use of appended jitter and shimmer speech features for closed set text independent speaker identification system. Jitter and shimmer features are extracted from the fundamental frequency contour and added to basel
MATLAB
- 梅尔频率倒谱(Mel-Frequency Cepstrum)是一段声音的短时功率谱，基于频率的非线性梅尔刻度(mel scale)的对数能量频谱的线性预先变换- the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonline
ydwmfcc
- This a source code for acoustic feature extraction. The mel-cepstral feature is extracted from the audio signal used for speech recognition.-This is a source code for acoustic feature extraction. The mel-cepstral feature is extracted from the audio s
mfcc
- matlab版本，提取语音梅尔频谱倒谱系数（MFCC）特征-Matlab version, Mel frequency cepstrum coefficient（MFCC） feature extraction of speech
melfb
- This a source code to find mel frequency ceptrum coefficients-This is a source code to find mel frequency ceptrum coefficients
Judge2_mfcc
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-on logarithm frequency scale, under the 1000 hz, the perception of the human ear and
fenlie2_mian
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-on logarithm frequency scale, under the 1000 hz, the perception of the human ear and
melfb
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-on logarithm frequency scale, under the 1000 hz, the perception of the human ear and