搜索资源列表
recgnize
- 利用HMM的孤立字（词）语音识别系统 -hmm recognize
hmmm
- HMM 隐马尔科夫过程预测与算法交易研究以及matlab程序-HMM Hidden Markov process prediction and algorithmic trading and Matlab procedures
hmm(train-and-recognize)
- 用于DHMM模型的训练和识别，提供例子测试-Used for DHMM model training and recognition, provide sample testing
Before-and-after-to-the-algorithm
- C实现的hmm模型当中的前后向算法,做语音，人工智能，机器学习的人不会陌生-Before and after the the hmm model were implemented in C algorithm to do the voice, artificial intelligence, machine learning
Viterbi
- 实现hmm模型当中的维特比算法，用c语言实现-Hmm model which the Viterbi algorithm, using c language
Forward-Backward-Algorithm
- hmm模型当中的前向算法，用于hmm模型的评估，解码等问题中,用C编写-the hmm model which forward algorithm for hmm model assessment decoding
CPP__HMM
- 实现hmm当中的前向算法，后向算法，维特比算法，用C++编写-Hmm which the forward algorithm, backward algorithm, Viterbi algorithm, written in C++
hmm_toolbox
- 马尔科夫模型代码，包括连续马尔科夫和离散马尔科夫-HMM code,CHMM DHMM
dhmm -sb
- 用于语音识别的vq、hmm训练，以及识别，能够运行。
HMM
- 隐马尔科夫模型的matlab工具箱，可用于语音识别、步态识别等人工智能研究领域-Hidden Markov model matlab toolbox, can be used for speech recognition, gait recognition research fields such as artificial intelligence
HMM_viterbi
- hmm 维特比算法程序，很简单，但是非常适合初学者阅读和理解-hmm Viterbi algorithm, is very simple, but very suitable for beginners to read and understand
hmm
- 隐马尔可夫过程是一个双重随机过程：一重用于描述非平稳信号的短时平稳段的统计特 征（信号的瞬态特征，可直接观测到）；另一重随机过程描述了每个短时平稳段是如何转变 到下一个短时平稳段，即短时统计特征的动态特性（隐含在观察序列中)-Hidden Markov process is a doubly stochastic process: a weight used to describe the non-stationary signal short plateau statistical S
Umd_Hmm
- hmm隐马尔可夫模式的经典学习源码，对学习hmm模式有非常好的帮助-the classic source of the hmm module, very helpful to learn hmm
hmmrecongition
- 基于HMM的语音识别系统的MATLAB仿真，采用多数据同时训练法训练模板-Speech recognition system based on HMM of MATLAB simulation, using much data at the same time training method training template
nlu_project
- 采用机器学习的方法进行自然语言处理，对中文进行分词和词性标注。分词采用crf模型，词性标注用hmm模型，解码算法为Vertibi算法。本系统使用java语言编写-Using machine learning methods for natural language processing, carried out on the Chinese word segmentation and POS tagging. Segmentation using crf model, tagging with
Unsupervised-intralingual-and-cross-lingual-speak
- Unsupervised intralingual and cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction
Viterbi
- 是用于解决基于HMM的人脸识别算法中解码问题的viterbi算法，在VS2010上运行成功，对加深对 viterbi算法的理解有一定的帮助-For HMM-based face recognition problem viterbi decoding algorithm runs in VS2010 success viterbi algorithm for deepening the understanding of some help
HMM-principle
- 马尔科夫模型基本原理及其在语音识别领域中的应用，讲解简单易懂，适合入门者学习。-Basic principle of markov model and its application in the field of speech recognition, simple, suitable for even beginner to learn.
write_htk_inihmm
- Matlab与HTK的接口程序，用于生成HTK中HMM的初始文件。-Matlab and HTK interface program used to generate the initial HMM file in HTK.
pca_hmm
- face recognition by PCA. using algorithm PCA and HMM. good for you