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Description: This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
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Author: 站长 |
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Description: matlab下实现的用于语音识别的一些算法，包括hmm参数提取，viterbi识别算法，mfcc参数提取算法，端点检测算法等，对于做语音识别的来说都是很有用的-under Matlab for the voice recognition algorithm, including hmm parameter extraction, Recognition Viterbi algorithm, mfcc parameter extraction algorithm, endpoint detection algorithm. voice recognition for doing the run are very helpful!
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Size: 537600 |
Author: 张兵 |
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Description:
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Size: 1024 |
Author: wxy |
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Description: 《matlab扩展编程》光盘资料.关于端点检测，录音，参数提取，HMM,LPC,MFCC,DYW等一些源代码-err
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Size: 139264 |
Author: feifei |
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Description: 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion.
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Author: wh |
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Description: 本 文 对 说话人识别技术作了较深入系统的研究。提出将不同的特征参数进行信
息互补组合，以整合出能够较全面反映说话人个人信息的新参数向量，并以此特征
参数进行文本相关的说话人识别系统设计。
文 章 同 时对说话人识别中的噪声问题进行比较研究，根据MFcC这一参数本身
的噪声鲁棒性特点，对其提取算法进行研究，引入依据嗓声强度而比例加权的思想，
得出抗噪声性能更好的加权MFCC特征参数。
文 中 根 据上述参数，分别采用基于动态时间规整(DTW)和隐马尔可夫模型
(HMM)的识别方法，对不同的说话人进行语音采集和识别，实验证明，本文中提
取的特征参数有很好的应用性能表现。-In thi sth eiss，the传sc峨hofspeakcrreco即itiontc比nologyislhoorughlydicsussed.
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Author: 李靖 |
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Description: 一种声纹识别代码 基于MFCC HMM 很不错-an daima of voice intercertion
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Size: 39936 |
Author: 王阳 |
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Description: 连续隐马尔可夫识别程序。
包含的模块，可以比较完整地进行语言识别。
主要模块：
Test.m
Train.m
viterbi.m
baum.m
pdf.m
recog.m
mixture.m
mfcc.m
-speech recognize using HMM
include 11 matlab fuction:
Test.m
Train.m
viterbi.m
baum.m
pdf.m
recog.m
mixture.m
mfcc.m
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Author: JF |
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Description: hmm 智能语音 识别 合成 mfcc vq-hmm
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Author: deepin |
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Description: 语音识别 处理 合成 hmm 马尔科夫模型-hmm mfcc
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Size: 4775936 |
Author: deepin |
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Description: 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；train.m是训练程序；main.m是训练程序的脚本文件；recog.m是识别程序。-hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures.
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Author: 于军 |
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Description: 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 technologies. Endpoint Detection: Based on the average short-term energy and zero crossing rate short-term endpoint detection Cepstrum-based endpoint detection feature extraction: LPCC and MFCC parameter template is stored: HMM and N_Gram recognition phase: DWT-related technologies offer the various stages of described in detail, is absolutely a good thing!
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Author: 断剑 |
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Description: 用matlab仿真0到9十个数字的语音识别
1、对语音的WAV文件和LAB文件进行处理，产生十个文件，每个文件对应于一个数字，存贮着该数字的波形文件。（shujuzhengli.m）
2、分别利用上面十个文件训练出十个HMM模板，具体方法是：首先将语音的波形文件分帧，以128个点为一帧，帧移为64，每一帧通过mfcc.m计算出13个系数，随着波形的长度不同，一个语音文件可以计算得到13*N个系数，截取13*15的矩阵（mfcc系数）用作训练数据。一般一个HMM模板用20组mfcc系数训练，得到初始状态分布、状态转移矩阵、高斯正态分布的均值和方差以及混合矩阵，这就是该语音的特征，存贮下来，识别的时候使用。（trainmfcc.m）
3、识别过程：识别的前面部分与训练相似，都是要计算得到mfcc系数，不同在于，识别时，将计算得到的mfcc 参数分别代入训练得到的HMM模板求出概率，比较出最大概率者，则该模板对应的数字就是识别的数字。(shibiesb.m)
4、用大量语音文件做测试，结果正确率为90 以上。-Speech Recogonition: Mumber 0-9
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Author: Fatso Ding |
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Description: key word recognition using mfcc
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Size: 142336 |
Author: kumar |
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Description: 基于MFCC参数和HMM的低空目标声识别方法研究 ，隐马尔科夫研究语音识别检测敌机-HMM-based MFCC parameters and low-altitude target identification method of sound, speech recognition, hidden Markov detection of enemy aircraft
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Size: 264192 |
Author: awdawd |
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Description: HMM基于mfcc特征的语音识别,包括DTW算法演示、mfcc参数计算、端点检测等-HMM-based speech recognition feature mfcc
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Size: 37888 |
Author: 程窦华 |
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Description: 基于HMM的语音识别系统,对二十个训练样本采集MFCC系数分析，求最小距离。-HMM- based Speech Recognition System
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Size: 13901824 |
Author: 许文涛 |
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Description: 以MFCC作为特征参数，利用HMM算法进行语音识别(Speech recognition using HMM algorithm)
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Size: 26624 |
Author: 充满魅力人 |
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Description: 通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)
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Size: 293888 |
Author: 范敏 |
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Description: CHMM语音识别程序，十个字的识别。隐式马尔科夫模型。(CHMM Speech Recognition Program, Recognition of Ten Characters)
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Size: 677888 |
Author: 努力努力小曼 |
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