| hmm |
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- Classification:multimedia - Other Multimedia
- Development Tool:Visual C++
- Sise:171 KB
- Upload time:2011/5/19 3:04:30
- Uploader:harald
- Download Statistics:
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| Description |
This code contains backward HMM algorithms, Viterbi algorithm and backward algorithm
File list:
hmm
..\Debug
..\.....\BuildLog.htm
..\.....\hmm.exe.embed.manifest
..\.....\vc90.idb
..\.....\vc90.pdb
..\hmm.vcproj
..\hmm.vcproj.NC-HP.NC.user
backward.cpp
baum.cpp
hmm.h
hmm.ncb
hmm.sln
hmmrand.cpp
hmmutils.cpp
nrutil.cpp
nrutil.h
viterbi.cpp
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| Related source code |
[ISOLATED_KANNADA_CHARACTER_RECOGNITI...] - Character recognition
[hmm-c] - hmm model of the C language, algorithm refined, suitable for beginners of HMM research.
[hmm-cpp] - HMM model of the C language, algorithm refined, suitable for beginners of HMM research.
[hmmdecode] - here is the code for hmmdecode in matlab
[HMM-and-mel-feature-extraction] - mel frequency converting and training HMM model
[基于matlab的hmm语音识别] - Hmm speech recognition based on MATLAB
[HMM] - : To make the stress variation in robust speech recognition system to achieve better recognition, research based on hidden Markov models (HMM) adaptive technology, proposed a maximum a posteriori probability (MAP) and the method of maximum likelihood regression (MLLR) for the stress of Adaptive variation in speech. Experimental results show that, compared with the base system, effectively improve the recognition rate of the system in two ways. To SD for the initial models of the maximum posterior probability method to identify best 150 samples of training time, up to 90. 4%.
[hmmtrain] - HMM models, using c language, can be used to pattern recognition source code integrity, and can be used directly.
[HMM1] - Speech recognition training programs, simple and practical. Written in c. Full source code using hidden Markov model has been tested and can be used directly.
[vq-dhmm] - VQ and supporting speech recognition training procedures DHMM model, C language, has been fixed, might be transplanted directly into the 8-bit MCU or 16-bit DSP. With the current toy market speech recognition algorithms are basically the same, very useful, only for your reference!
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