搜索资源列表
Hmm
- Hidden Markov Model Toolbox
cdhmm
- 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.
viterbi
- 实现hmm基本算法。此代码实现基本的viterbi算法。有学习功能-The matlab code implements Viterbi algorith to realize HMM s learning.
Part-1
- hmm code algoritm viterbi SpeechRecognition
matlab
- 了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；通过matlab分析和三个基本算法分析读研和就业问题：forward算法、Viterbi算法和Baum-Welch算法-Understand the concept of Hidden Markov Model HMM, composition and problems to be solved matlab analysis by three basic algorithms: forward algorithm, Viterbi alg
matlab-experiment
- 了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；掌握三个基本算法：forward算法、Viterbi算法和Baum-Welch算法，并利用matlab进行实验分析一道具体问题-Understand the concept of Hidden Markov Model HMM, composition and problems to be solved mastered three basic algorithms: forward algorithm, Viterbi algorithm
viterbi-algorithm
- 用Viterbi算法来解码隐马尔科夫模型(HMM)的状态变量。其中，mainfile_Vit.m是主函数，Viterbi_algorithm.m是调用的Viterbi算法函数。-Viterbi algorithm for decoding the hidden states of the Hidden Markov Model(HMM). In this folder, "mainfile_Vit.m" file is the main function, and "Viterbi_algori
voice-recognition
- 实现基于MFCC和HMM及Viterbi的语音识别系统，识别率可达到80 以上-MFCC and HMM-based speech recognition systems and Viterbi recognition rate can reach 80
hmm
- 解决隐马尔科夫问题中的MATLAB程序，包含前后向算法，Viterbi求解，BaumWelch求解(MATLAB in solving the problem of hidden markov, including front and back to the algorithm, Viterbi, BaumWelch solution)