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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
语音识别中求Mel倒谱系数的matlab程序
- 这是一个在语音识别中求Mel倒谱系数的matlab程序。 这个程序里面还需要用到几个其他的函数，都在VoiceBox工具箱里面，可以到网上下载,Calculate the mel cepstrum of a signal，The program also needs to be used in several other functions, in VoiceBox toolbox, can to download
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.
detection
- 基于倒谱，分形，和谱熵的语音端点检测程序，三个文件夹内对应三种程序-Cepstrum-based, fractal, and spectral entropy of speech endpoint detection procedures, the three folders corresponding to the three procedures
MATLAB-Mel
- MATLAB下使用Mel倒谱特征进行说话人识别源代码-MATLAB using Mel Cepstrum for Speaker Recognition Source Code
formant_pitch_cepstrum
- 利用倒谱求出语音信号频谱包络和基音频率。-Cepstrum was calculated for the spectrum envelope of speech signal and the pitch frequency.
cepstrum
- 求出语音信号的倒谱以便于进一步对语音信号作进一步的分析处理，分析信号的特性。-Derived Cepstral voice signal in order to facilitate further speech signal processing for further analysis, analysis of signal characteristics.
mel
- 自己编写的求mel三角滤波器系数的程序，比matlab自带程序容易理解，帮助大家理解mel三角滤波器-I have written for triangular mel filter coefficients procedures, than matlab own procedures easy to understand and help us to understand the triangular mel filter
vq
- 使用lpcc参数的vq算法，vq为主函数，lpcc是提取线性倒谱系数-The use of the VQ algorithm lpcc parameters, vq-based function, lpcc is the extraction of linear cepstrum coefficients
cepstrum
- matlab数字语音分析模块(已调试）： 倒谱、复倒谱、对数谱、自相波形等。-matlab digital voice analysis module (has debug): cepstrum, complex cepstrum of the spectrum, such as self waveform.
mfcc
- 本文件包含语音识别语音识别中一些算法，加框处理的算法，以及进行mfcc和倒谱的算法，用matlab算法实现。另外还包含一个音频文件。-This document contains the speech recognition in a number of speech recognition algorithms, the algorithm deal with framing, as well as cepstrum mfcc and the algorithm implementation
lpcc
- 本源码为语音识别中lpcc（线性预测倒谱系数）的计算方法。经试验，可用。为方便大家理解，关键语句和函数后面都加上了注释。-The source code for speech recognition in lpcc (Linear Prediction Cepstrum Coefficient) is calculated. After testing, can be used. To facilitate the understanding of everyone, the key behin
Cepstrum
- 对语音信号进行倒谱分析，产生信号图形和倒谱图形-Voice signals on cepstral analysis, signal graphics and graphics cepstrum
dpfx
- 利用matlab实现语音信号的倒谱分析,通过观察仿真，可以看出倒谱函数的频谱特性。-Matlab voice signal cepstrum analysis, simulation, can be seen by observing the spectral properties of the function cepstrum.
JLDATA
- 摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。-Abstract: This thesis
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
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
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)