搜索资源列表
mfcc
- 用MATLAB语言实现MFCC特征参数提取-Using MATLAB language MFCC feature extraction
mfcc2
- mfcc 语音识别的很好用的一个工具，可以帮助快速提取特征参数~-mfcc good use of voice recognition as a tool to help quickly extract feature parameters ~
recognition
- 语音识别的端点检测工具,包括预处理，预加重，mfcc，端点检测。-Endpoint detection of speech recognition tools, including pretreatment, pre-emphasis, mfcc, endpoint detection.
mfcc
- A matlab code to extract MFCC features, with several options
mfcc
- MFCC algorithm for calculating mel frequenc cepstral coefficients.
mfcc
- 提取音频的mfcc特征值 是一个matlab函数 直接调用即可-Extract audio mfcc characteristic value is a matlab function can be called directly
shuohuarenshibie-MATLAB-duandianjiance-yujiazhong-
- 说话人识别代码,端点检测,预加重,MFCC..采用的模型是神经网络~-Speaker identification code, endpoint detection, pre-emphasis, MFCC .. neural network model is adopted ~
speakerrecognition
- 说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别-Speaker identification procedures, using MFCC extraction, and the establishment of GMM model to identify
Version7.1.5
- automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
DTW_LBG
- MFCC的基础算法。 有很详细的代码。 注意阅读，提取自己需要的。测试过，可以用，欢迎新手学习。-MFCC based algorithm. A very detailed code. Note reading, extracting their own needs. Tested, can welcome newcomers to learn.
mfcc
- mfcc函数，用于在语音识别中提取MFCC参数特征-mfcc function, for the extraction of MFCC in speech recognition feature parameters
mfcc
- mfcc clacul ,extarction des cararcteristique de fichier audio
MFCC
- 介绍语音识别中特征参数mfcc的改进算法，对于语音识别和语音合成有更好的效率-Introduction of speech recognition feature parameters mfcc improved algorithm for speech recognition and speech synthesis for better efficiency
LPCC_MFCC_VAD
- MFCC特征提取算法以及语音端点检测源码-MFCC feature extraction algorithm and voice activity detection source
speech_recognition_by_MFCC
- 语音识别有说话者识别和语义识别等，文章中是用MFCC实现的语义识别中的阿拉伯数字0-9的识别，以及结果。-Speech recognition with speaker recognition and semantic recognition, the article is realized with MFCC recognition of the Arabic numerals 0-9 semantic identification,
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 spe
dtw0
- dtw0文件是运用DTW算法实现噪声环境下语音识别的。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。-dtw0 file DTW algorithm is to use s
hmm
- hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Bau
mfcc
- mfcc header file rot speaker recogntion implementation
imm3851
- This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segment