搜索资源列表
LPCToolbox
- Matlab下语音信号的线性预测编码算法，单独建一个工作目录就可使用-under Matlab voice signal linear predictive coding algorithm, built a separate working directory may be used
asr
- 语音信号自动识别，有matlab交户界面，有dtw，vq，hmm三种算法供选择。-voice signal automatic identification, and families pay Matlab interface, dtw, Argentina, Brazil and Mexico. hmm three algorithms available.
baum
- 在语音识别的hmm模型中使用matlab对语音信号进行训练的把baum源代码-in Speech Recognition hmm use Matlab model of voice signals training source put BAUM
netlab3.3
- 用MATLAB来实现语音信号处理HMM的一些函数的源程序。-MATLAB to voice signal processing functions HMM some of the source.
lpcrr2am
- 用MATLAB来实现声音信号处理的函数程序的源代码。-MATLAB to achieve voice signal processing function of a program's source code.
midi2frq
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
readcnx
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
writehtk
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
rsfft
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
语音信号处理实验教程（MATLAB源代码）
- 语音信号处理实验教程（MATLAB源代码）(Speech signal processing experiment course (MATLAB source code))
short_energy
- 语音信号的短时能量求取MATLAB代码，语音信号分析的基础教程(MATLAB code for short time energy of speech signal and a basic course for speech signal analysis)
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)
colea
- 用于对语音信号处理的matlab程序，可用于语谱图分析，共振峰分析等。(The matlab program for speech signal processing can be used for spectrogram analysis, formant analysis and so on.)
笫3章程序
- matlab语音信号分析与合成，第二版的第三章全部程序(Matlab speech signal analysis and synthesis, second edition of the third chapter of all procedures.)
voicebox
- 语音信号处理识别分析以及去噪语音信号处理的代码文件(Speech signal processing, recognition, analysis and de noise speech signal processing code files)
vad
- 可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the frame into a window and use the zero crossing rate and short time energy to detect speech endpoints.)
audio_tezheng
- 语音信号的时域、频域与倒谱域分析。 1.分析一帧清音和浊音的自相关函数和倒谱系数 2.用Matlab画出该段语音的时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率 3.选择一帧无声、清音和浊音的语音，用Matlab画出它们的对数幅度谱(Time domain, frequency domain and cepstrum domain analysis of speech signals. 1. Analyze the autocorrelation function and c
基于MFCC的GMM的语音识别
- 基于MFCC的GMM的语音识别，先是通过MFCC提取语音信号的特征向量，然后用GMM进行分类识别(Voice recognition of GMM based on MFCC.First, the feature vectors of speech signals are extracted through MFCC, and then classified by GMM.)
新建文件夹
- 生成语音信号，DTMF信号，每一位数字对应有个高频一个低频两者相加合成为一个语音信号(Generating Speech Signal, DTMF)
mfcc
- matlab实现MFCC的提取 输入语音离散信号和采样频率 输出13维静态MFCC(extraction of MFCC Input speech discrete signal and sampling frequency Output 13 dimensional static MFCC)