搜索资源列表
viterbi
- 语音识别HMM算法中的解码功能的程序，其中是根据观测序列和已知模型去求状态序列-Speech recognition HMM algorithm decoding process, which is to seek observer status in accordance with the sequence and the known sequence of the model
HMM_scaled
- A Hidden Markov Model which uses scaling to prevent underflow
Robust-classification-of-modulation-types-using-s
- ROBUST CLASSIFICATION OF MODULATION TYPES USING SPECTRAL FEATURES APPLIED TO H-ROBUST CLASSIFICATION OF MODULATION TYPES USING SPECTRAL FEATURES APPLIED TO HMM
HMM
- test az test az r will activate your member account after checking your files. If you do not want to upload
viterbiaEM
- 1.用隐马尔科夫模型（HMM）模拟肿瘤细胞整个染色体的拷贝数（CN）变异。并用viteri算法得到最可能的（CN）状态转移序列； 2.使用baum welch算法根据所给序列数据和初始状态转移矩阵，重新估算状态转移矩阵。-HMM, Hidden Markov, baulm welch, viterbi, SNP-array
DIPDemo
- 基于隐马尔科夫模型HMM的行为识别matlab代码-Hidden Markov Model behavior recognition matlab code
HMMDemo
- 基于隐马尔可夫模型的人脸识别代码，首先经过训练，然后可以进行识别-face regognization based on HMM
HMM
- matlab隐马尔科夫模型工具箱的,相信对学习马尔科夫模型的同学非常有用-Detailed information on hidden Markov chain theory and the matlab code
Speech-Enhancement-Using-HMM
- this thesis proposes two methods for NMF-based separation of sources with similar dictionaries.
detect_vuv
- The HMM-based Speech Synthesis System (HTS) has been developed by the HTS working group and others (see Who we are and Acknowledgments). The training part of HTS has been implemented as a modified version of HTK and released as a form of patch code t
DTW
- 在孤立词语音识别中，最为简单有效的方法是采用DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法，用于孤立词识别。HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 本程序是DTW算法的实现-In isolated word speech recog
hmm1
- matlab 下隐马尔科夫的经典实现，本人也是初学者，所以非常适合初学者学习-Matlab HMM classic application, very straightforward, simple to understand, it s worth downloading
uhmm
- C++ 下隐马尔科夫的经典实现，涉及学习算法，解码算法等，特别是对于初学者而言-Matlab HMM classic application, very straightforward, simple to understand, it s worth downloading
CHMM
- 解决了连续马尔科夫模型训练、观测向量概率计算、输出参数估计问题，需安装HMM工具包-CHMM model,trianing and estimation
face-recognition-SVD-HMM
- an efficient system for face recognition based on hidden markov models and SVD as features extractor
julius-4.3.1.tar
- Julius 是一种高性能，两通大词汇量连续语音识别（LVCSR）语音相关的研究和开发的解码器软件。基于字的N-gram和上下文相关的HMM模型，它可以进行几乎实时实时解码目前大多数电脑在60K字听写任务。完全纳入，如树的N-gram词汇，保，跨词的上下文依赖处理，包围梁搜索，高斯修剪，高斯的选择，除了搜索效率等各大搜索技术，它也是模块化小心从模型结构独立，如共享状态triphones的和并列混合模型与任意数量的混合物，州或手机，支持各种HMM的类型。采用标准格式，以配合HTK的，债务工具中央结
hsmm_new12
- HSMM的计算功能实现在原来HMM的基础上解决了时间的限制，适用性更强-HSMM computing function of the original HMM solve the limit of time, on the basis of stronger applicability
HMM
- 智能家居语音控制的源代码，C代码，肯定好用的代码，本人已经试验过的代码-Smart home voice control of the source code, C code, the code is certainly easy to use, I have tried the code
nrutil
- 常用的模型和算法介绍 HMM的C语言实现-Used the model and algorithm of C language implementation of the HMM
baum
- 这是根据常用的模型，算法介绍 HMM的C语言实现-Used the model and algorithm of C language implementation of the HMM