搜索资源列表
newvq
- this a speech recognition code based on vector qunatisation wid end point detection.-this is a speech recognition code based on vector qunatisation wid end point detection.
speechR
- 基于matlab的语音识别 用matlab仿真0到9十个数字的语音识别-speech recognition based on matlab
MATLAB
- 描述了语音识别系统的基本框架以及用MATLAB实现语音识别技术-Describes the speech recognition system as well as the basic framework for the realization of speech recognition technology MATLAB
22
- 关于语音识别中语料库的建立与整理，以及分析统计-Speech Recognition Corpus on the establishment and finishing, as well as the analysis of statistical
Speechreg
- Basic speech recognition system
New-Folder
- Speech recognition matlab code
dpfast
- speech recognition matlab code. m file
speech_recognition
- speech recognition MAtlab source code
voicebox
- speech recognition MAtlab source code
Speech_DTW
- this is a matlab code for computing DTW(dynamic time warping) for speech processing applications.
project
- DESIGNING OF A SPEAKER RECOGNITION IN MATLAB
voice
- speech recognition in matlab which will validate the speech
myVAD
- This another source code for speech recognition.. this is the voice active detection using energy detection-This is another source code for speech recognition.. this is the voice active detection using energy detection
vq
- 基于VQ的语音识别程序，我用了，很好用，希望帮帮大家！-VQ-based speech recognition program I used, very good use, you want to Bang Bang!
SpeechRecognition
- speech recognition matlab code some tones are given algorithem also written
SpeechRecognition
- hmm算法实现的语音识别程序压缩包，内涵多个文件。-Speech Recognition
Whisper
- 毕业设计源码！关于语音情感识别的！希望对大家有用！-Graduation source! Emotion recognition of speech! Hope to be useful!
speakerrecognition
- 提取mfcc和lpcc等参数用于语音识别-Extraction mfcc and lpcc parameters for speech recognition
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
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Baum-Welch算法；inithmm.m是初始化参数；trai