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dtw
- dtw文件是运用DTW算法实现安静环境下语音识别的。其中vad.m是端点检测程序；lpc.m是计算LPC参数的程序；lpc21lpcc.m是计算LPCC参数的程序；mfcc.m是计算MFCC参数的程序；dtw.m是实现经典DTW算法的程序；dtw2.m是实现高效DTW算法的程序，testdtw.m是最终测试程序，其中可以通过改变其中的特征参数名选择不同的特征参数。-dtw file DTW algorithm is to use speech recognition in quiet envir
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程，以及相关技术。 端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取：LPCC和MFCC 参数模板存储：HMM和N_Gram 识别阶段：DWT 各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologie
kannumfcc1
- MATLAB对语音进行处理，用MFCC提取语音特征过程-MATLAB, voice processing, voice with the MFCC feature extraction process
Assignment2
- 国外高校老师编写的语音信号特征提取程序，非常实用初学者研究- [E, V, A, P] = analysis(x, N, U, M) extracts vocoder parameters E, V, A, and P from the speech signal x on a frame by frame basis. N is the analysis frame length, U is the update length, and M is the order of the
chapter1
- matlab神经网络 bp神经网络的数据分类-语音特征信号分类-matlab neural network of bp neural network - voice feature signal classification
FPGADSPBuilder
- 用c语言编写的语音特征参数的程序，该语音特征参数为mfcc参数，主要用于说话人识别-Written by c parameters of the process of speech, the speech feature parameter is mfcc parameters, mainly used for speaker recognition
Code_MATLAB_Statistical_Analysis
- 这是张德丰《MATLAB概率与数理统计分析》随书源码(M文件)。代码包括的内容有：概率分布计算及统计特征、数字特征计算、统计图绘制(盒状图、散度图等)、点估计和区间估计、假设检验、方差分析、曲线拟合、回归分析、因素分析、聚类分析、正交实验设计分析、多元方差分析、判别分析、隐马尔可夫模型建模与参数估计和在语音识别中的应用。-This is Zhang Defeng " MATLAB Analysis of probability and mathematical statistics,&
jizhongyuyintezhengcanshu
- 关于语音特征参数提取的研究生论文，希望对各位学者有很大的帮助，本人受益匪浅-Speech feature extraction on the graduate thesis, and I hope you scholars of great help, I benefited
shenHL98-endpoint
- 关于语音特征参数还有端点检测的研究生论文，希望对各位学者有很大的帮助，本人受益匪浅-There on the speech endpoint detection parameters graduate thesis, I hope you scholars of great help, I have benefited
yuyinxinhaotezhengcanshutiqu
- 语音特征参数的提取过程，是研究生论文，里面提到的新方法很有用处，希望能帮助你们-Speech feature extraction process, a graduate student paper, which mentioned the new method is very useful, I hope you can help
case1
- BP神经网络的数据分类-语音特征信号分类-BP Neural Network for Data Classification- Classification of speech feature signals
matlab_speechrecog
- 语音识别特征提取程序，对语音分析很有帮助-Speech recognition feature extraction procedures, helpful speech analysis
bp
- BP神经网络在语音特征信号分类中的应用 供大家学习-BP neural network in speech signal classification of features for everyone to learn
HMM
- 本文件是关于BP神经网络的语音特征信号分类的实现。-This document is about the BP neural network of phonetic features the realization of signal classification.
voice
- 在分析语音特征提取方法基础上提出一种改进组合算法,并采用HMM 声学模型和Viterbi 算法进行模式训练和识别.-Speech feature extraction method in the analysis based on the combination of an improved algorithm, and using HMM acoustic model and the Viterbi algorithm for model training and recognition.
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
mfcc
- 语音识别的梅尔特征提取算法，matlab 含注释-Mel speech recognition feature extraction algorithm, matlab with comments
speakerrecognition
- 本程序是基于matlab的语者识别系统。采用mfcc算法进行提取语音特征，用gmm算法进行匹配。-This procedure is based on a speaker recognition system matlab. Mfcc algorithm using speech feature extraction, matching algorithms using gmm.
mfcc
- Mfcc 提取语音特征参数 可以分辨出不同情感-Mfcc speech feature extraction can distinguish between different emotions
The-research-of-anti-niose-speech
- 论文首先介绍了传统的语音特征参数MFCC，它是基于人耳听觉 特性设计的一种特征参数，在静音环境下能得到较高的识别率，但在 信噪比较低时识别率急剧下降，不利于实用化。本文通过对MFCC算 法的分析和研究，发现其中的FFT和DCT在整个时频空间使用固定的 。分析窗，这不符合语音信号特性，而小波变换具有多分辨率特性，更 符合人耳的听觉特性。因此，本文将小波变换和MFCC算法相结合， 提出了三种新的语音识别特-Speech recognition has wide use in