搜索资源列表
svlib_pc
- 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
SpeakerIdentificationPaper
- 说话人识别方法及其系统的应用开发研究.毕业设计论文,详细.本文对说话人识别方法应用作了较深入系统的研究。采用的方法分别是矢量量化(VQ)识别方法、隐马尔可夫模型(HMM)识别方法、高斯混合模型(GMM)识别方法。
hmm-1.03.tar.gz
- 语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。, In speech recognition classical HMM algorithm, including has the sequence, the test and the parameter training, compiles by the C language.
HMM
- 简单明了的HMM-GMM-KEAMS调用接口，C环境使用。-Simple HMM-GMM-KEAMS Call Interface, C environments.
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
model
- 利用matlab语言进行模型建立，包括GMM、HMM 等-set up models with matlab language ,the models contain GMM and HMM
m
- 基于HMM或者GMM模型的说话人识别系统的实现及改进-Speaker recognition system based on HMM or GMM model and improvement
HMM_GMM
- 一个有效的，可以直接运行的HMM—GMM代码，而且带有语音数据。不存在任何障碍，值得初学者下载的浅显易懂的例子。-An effective, the HMM-GMM code that can be run directly, and with the voice data. There are no obstacles, beginners should download easy to understand examples.
hmm
- 自己认真修改的程序代码，并且通过测试可以运行的！对HMM-GMM的初学者有用。-Own serious modify the program code, and the test can be run. HMM-GMM useful for beginners.
yuzhonshibiematlab
- 语种识别matlab程序，里面包括gmm，hmm模型的训练和测试-Language recognition matlab program, which includes training and testing gmm, hmm model,,,,,,
master2
- 基于GMM-HMM的语音识别程序,自带训练和测试数据，使用的是MATLAB。-GMM-HMM-based speech recognition program, comes with the training and test data, using MATLAB.
hde code
- hde code for speech recognification using the HMM and GMM
speaker-recognition-master
- example of speech processing to execute
em
- em算法介绍:EM算法有很多的应用，最广泛的就是GMM混合高斯模型、聚类、HMM等等(This is the EM algorithm using JAVA, easy to understand, easy to use and helpful for understanding the EM algorithm)
HMM-GMM
- 使用高斯混合模型和隐马尔科夫模型进行建模(Modeling using Gauss mixture model and hidden Markov model)
GMM-HMM-master
- GMM HMM()
HMM1
- 在VC6.0平台上进行编写的，包括隐马尔科夫模型（HMM）和混合高斯模型（GMM）在内的用于模板训练的算法。(The algorithm for template training is written on VC6.0 platform, including hidden Markov model (HMM) and mixed Gauss model (GMM).)
mfcc
- 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.)