搜索资源列表
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。
hmm--matlab
- 用matlab编写的基于hmm模型的语音识别程序，但是调试好像有些问题，欢迎指正:)-prepared using Matlab model based hmm voice identification procedures, but there seems to be some debugging, and welcomes the correction :)
hmm的c++语言实现
- c++实现HMM，向前向后算法，Viterbi算法，Baum-Welch算法。其中包括用c++定义的HMM数据结构。全部是cpp和h的文件-c achieve HMM, forward backward algorithm, Viterbi algorithm, Baum-Welch algorithm. C including the use of the HMM definition data structure. Cpp all
HMM-v1.02
- 稳马尔科夫HMM算法的C语言源代码，可用于图像处理及一维信号处理。-stable Markov HMM algorithm C language source code that can be used for image processing and one-dimensional signal processing.
VAD-DTW-HMM
- 端点检测和基于DTW和HMM的孤立词识别和连续语音识别-endpoint detection and DTW-based HMM and isolated word recognition and Continuous Speech Recognition
HMM(camb)
- 一个剑桥大学的关于HMM的很好的Matlab语言编写的程序集合-a Cambridge on HMM good Matlab prepared by the procedure set
speech_recognize(hmm)
- 工具：ultraedit32 说明：汇总了经典hmm各种算法源码及相关语音系统设计实现的代码。-tools : ultraedit32 : hmm summary of the various classical algorithm source code and related system design to achieve Speech codes.
HMM ??
- hand write recognition using HMM matlab
GMM-HMM-master
- GMM HMM()
HMM
- hmm工具箱，包括各种算例，离散与连续马尔科夫过程(hmm tool box Including various examples discrete and continuous markov process)
HMM with skips and single Diagonal Gaussian
- 以MFCC作为特征参数，利用HMM算法进行语音识别(Speech recognition using HMM algorithm)
matlab-hmm-master
- 主要应用HMM模型训练语音数据，实现说话人识别的功能(The HMM model is used to train voice data to realize speaker recognition.)
Python实现HMM模型完美版
- Python实现HMM算法完美版 代码全集(Python realize HMM algorithm perfect edition code complete works)
Python实现HMM模型完美版
- Python实现HMM算法完美版代码集合(Python realize HMM algorithm perfect edition code complete works)
HMM
- 离散HMM的matlab程序，包含有前向—后向算法、 Baum-Welch算法以及Vertebi算法(The matlab program of discrete HMM, including forward-backward algorithm, Baum-Welch algorithm and Vertebi algorithm)
HMM-master
- 隐马尔科夫模型进行中文分词 模型训练 python HMM_train.py RenMinData.txt_utf8 RenMinData.RenMinData_utf8 为人民日报已经人工分词的预料。 生成三个文件 * prob_start.py 为模型的初始概率 * prob_trans.py 为模型状态转移概率 * prob_emit.py 为发射概率 测试模型效果 python HMM.p
HMM-homework
- 隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)
HMM
- 用python实现基于HMM的简单中文输入法(Implementing a Simple Chinese Input Method Based on HMM with Python)
NER-CRF-HMM-master
- HMM以及CRF用于自然语音处理中的命名识别(HMM and CRF for name recognition in natural speech processing)
10.2 基于隐马尔可夫模型（HMM）的孤立字语音识别
- 隐马尔可夫模型（HMM）的孤立字语音识别，matlab程序实现(HMM, Isolated character speech recognition)