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[matlab] HMMFunction

Description: Matlab中有关HMM的函数集。给出了详细的源代码，可以用于hMM在各个领域的研究和开发-Matlab the HMM Function Set. Given the detailed source code, hMM can be used in various fields of research and development
Platform: | Size: 26624 | Author: 蒋荣 | Hits:

[AI-NN-PR] hmmbox_4_1

Description: hmm算法的经典matlab程序,可用于模式识别等人工智能方面-classic Matlab program can be used for pattern recognition, such as artificial intelligence
Platform: | Size: 164864 | Author: dy | Hits:

[AI-NN-PR] HMM-v1.02

Description:
Platform: | Size: 302080 | Author: 阳云 | Hits:

[AI-NN-PR] SURCE

Description: BP神经网络的C语言实现,BP神经网络解决异或问题,HMM的C语言实现,矢量量化的C语言实现-Neural Network C language, BP neural network solutions differences or problems, HMM C language, vector quantization C Language
Platform: | Size: 112640 | Author: 吴德烽 | Hits:

[Speech/Voice recognition/combine] HMM_CLUSTERING

Description: HMM的C++详细源代码和矢量量化的C++源代码-HMM C source code and detailed vector quantization of C source code
Platform: | Size: 11264 | Author: 陆雯 | Hits:

[Speech/Voice recognition/combine] HMMDemo_Dbg

Description: HMM源代码，使用起来方便，具有一定的使用价值-HMM source code, easy to use, has some value
Platform: | Size: 1168384 | Author: 李帅 | Hits:

[Speech/Voice recognition/combine] baum

Description: 在语音识别的hmm模型中使用matlab对语音信号进行训练的把baum源代码-in Speech Recognition hmm use Matlab model of voice signals training source put BAUM
Platform: | Size: 1024 | Author: | Hits:

[Speech/Voice recognition/combine] inithmm

Description: 基于hmm模型的语音识别的结构参数初始化的源代码-based on the model of the structure of Speech Recognition parameters initialization source code
Platform: | Size: 1024 | Author: | Hits:

[Speech/Voice recognition/combine] getparam

Description: 在基于hmm的语音识别中计算前向概率，后向概率以及各种参数结构的源代码。-based on voice recognition to the calculation of the probability that after the probability of various parameters of the structure of the source code.
Platform: | Size: 1024 | Author: | Hits:

[Graph program] HMM-C-Algorithm

Description: 隐马尔可夫模型的C语言实现，人工智能算法领域的参考资料。-Hidden Markov Model C language, artificial intelligence algorithms field reference.
Platform: | Size: 8192 | Author: | Hits:

[Speech/Voice recognition/combine] matlabyuyinshibiesuanfa

Description: matlab语音识别算法，包括预处理，特征提取，训练，识别算法，基于hmm模型-Matlab speech recognition algorithms, including preprocessing, feature extraction, training, recognition algorithm based on model hmm
Platform: | Size: 3072 | Author: 张旭 | Hits:

[Voice Compress] KPMstats

Description: 用MATLAB工具来实现HMM算法的一些函数程序的源代码。-MATLAB tool to achieve the HMM algorithm functions program's source code.
Platform: | Size: 81920 | Author: W | Hits:

[Speech/Voice recognition/combine] netlab3.3

Description: 用MATLAB来实现语音信号处理HMM的一些函数的源程序。-MATLAB to voice signal processing functions HMM some of the source.
Platform: | Size: 254976 | Author: W | Hits:

[Speech/Voice recognition/combine] HTS-2.0RC1_for_HTK-3.3.patch

Description: HTS3.3 语音合成，使用HMM模型，结合HTK SPTK等技术此软件新版本-HTS3.3 speech synthesis, the use of HMM, combining technical HTK SPTK new version of this software
Platform: | Size: 1104896 | Author: 刘磊 | Hits:

[Speech/Voice recognition/combine] cdhmm

Description: matlab下实现的用于语音识别的一些算法，包括hmm参数提取，viterbi识别算法，mfcc参数提取算法，端点检测算法等，对于做语音识别的来说都是很有用的-under Matlab for the voice recognition algorithm, including hmm parameter extraction, Recognition Viterbi algorithm, mfcc parameter extraction algorithm, endpoint detection algorithm. voice recognition for doing the run are very helpful!
Platform: | Size: 537600 | Author: 张兵 | Hits:

[AI-NN-PR] PR2006

Description: BP神经网络的C语言实现 BP神经网络解决异或问题 canny源代码 HMM的C语言实现 isodata K-MEANS 车牌识别系统矢量量化的C语言实现 -Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language
Platform: | Size: 794624 | Author: liang | Hits:

[VC/MFC] hmm_new

Description: HMM(Hidden Markov Model)，狀態數目N=3，觀察符號數目M=2，時間長度T=3。 (a) Probability Evaluation: 給定狀態轉換機率A、狀態符號觀察機率B、和起始機率，求觀察序列出現的機率。 (b) Optimal State Sequence: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率、和觀察序列，求一個狀態序列使得O出現的機率最大。 (c) Parameter Estimation: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率、和觀察序列，求新的A、B、，使得O出現的機率最大。 -HMM (Hidden Markov Model), state the number of N = 3, Observation number of symbols M = 2, T = length of three. (A) Probability Evaluation : given state transition probability A, Observer status symbol probability of B, and initial probability for observation sequence in the octave. (B) Optimal State Sequence : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, for a state sequence of O makes the greatest risk. (C) Parameter Estimation : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, the way the A, B, and O makes the greatest risk.
Platform: | Size: 146432 | Author: 章勝鈞 | Hits:

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