搜索资源列表
ma_by
- The Matlab functions and scr ipts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to
melcepst
- 求mel频率倒谱系数的matlab程序-for mel frequency cepstrum coefficients of Matlab procedures
MFCCtiqumatlab
- 语音处理中的美尔倒谱参数提取,matlab程序实现,该参数是语音处理中常用的到的参数,希望有帮助-speech processing of America Fall cepstrum parameter extraction, Matlab program. The speech processing parameters are commonly used parameters to the hope that the help
test-two
- 对录音信号集 中的某一语音,利用MATLAB设计一美尔倒谱算法,并实现。-Focused on the recording of a voice signal, using MATLAB to design a Mel cepstrum algorithms, and implementation.
lab5
- matlab code for FFT&cepstrum
mfcc
- 语音识别mfcc美尔倒谱系数全过程的matlab程序,运行测试能出结果,希望对你们有用,实在没点数才把自己压箱底的东西拿出来,-Speech Recognition mfcc Mel cepstrum whole process of matlab program, run test can the result, I hope helpful for you, there is really no point only then their things out of bottom press
chapter5_1
- 倒谱的matlab实现,先用cool edit 软件录制歌曲-the relization of cepstrum of Matlab
gingfaoyou
- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Time series data analysis Mellin transform tool, Three-phase photovoltaic inverter and network simulation.
sn158
- Is a good learning materials to learn PCA feature extraction, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Minimum mean square error (MMSE) algorithm.
jengganlan
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The entire training process BP neural network.
fdtbs
- Including the generalized cross-correlation function GCC time delay estimation, University of numerical analysis algorithms, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
mk115
- A noise auxiliary data analysis method, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
matlab
- 语音信号的短时分析,主要包括:分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等(The short-time analysis of speech signal mainly includes: frame, short-time energy, short time average amplitude, short-time zero crossing rate, short-time autocorrelation functio
YCL
- 对信号进行梅尔倒谱系数特征采集之前的预处理,包括分帧加窗、基于短时能量的双门限判别、除噪、预加重等(The preprocessing of Mel cepstrum coefficients before the signal is carried out, including frame windowing, double threshold discrimination based on short-time energy, denoising and pre emphasis)
107551700第三次作业
- 根据短时傅里叶变换原理,计算并显示该语音段的短时幅度谱和功率谱;根据语谱图显示原理,编程实现该语音段语谱图的计算和显示,并尽量多地分析出语谱图包含的语音特征信息,用MATLAB提供的倒谱计算函数,显示该语音段的复倒谱和倒谱(According to the principle of short-term Fourier transform, the short range spectrum and power spectrum of the speech segment are calculat
MFCC0
- 关于语音特征的提取,MFCC梅尔倒谱系数,挺有效的。。。。(Speech feature extraction, MFCC Mel cepstrum coefficient)
Cepstrum
- matlab code for scattering and calculation
语音聚类示例
- 实验示例是基于语音中的mfcc,语音倒谱特征来进行聚类,先利用训练样本来计算训练样本聚类中心(用到了lbg算法),之后再进行分类。 注意:使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clus
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)