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MATLAB Extended Programming HMM
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hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states. A HMM can be presented as the simplest dynamic Bayesian netwok. Hidden Markov models are especially known for their application in temporal pattern recognition such as speech, handwriting,gesture recognition, part-of-speech tagging, musical score following, partial discharges and bioinformatics.
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MATLAB recording tool
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ampzcr.m -- short time energy and zero crossing rate program vad.m -- endpoint detection testmex.m -- MATLAB program to test mex program MatWave.dll MatWave.dll -- mex program to record testocx.m -- MATLAB program to test ActiveX control ActVoice.ocx sample.m -- callback of testocx.m ActVoice.ocx -- record control ActVoice MatWave -- VC project of mex program MatWave ActVoice -- VC project of ActiveX control ActVoice
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