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Hidden Markov in the MATLAB Toolbox, voice identif
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Encompass whole HMM Toolkit, you can directly perform speech recognition operations
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
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dhmm = HMM with discrete output
mhmm = HMM with mixture of Gaussians output;
Use mhmm with M=1 components to simulate an HMM with a
single Gaussian output.
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Face recognition using PCA
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In Matlab, face recognition using PCA algorithm, divided into training and recognition phases. First train and dimension reduction operations, can then be used to identify test set
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