Three basic problems of HMMs
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Once we have an HMM, there are three problems of interest.
- (1)The Evaluation Problem
- Given an HMM and a sequence
of observations , what
is the probability that the observations are generated by the model,
?
- (2)The Decoding Problem
- Given a model and a sequence
of observations , what
is the most likely state sequence in the model that produced the
observations?
- (3)The Learning Problem
- Given a model and a sequence
of observations , how
should we adjust the model parameters in order to
maximize
Evaluation problem can be used for isolated (word) recognition. Decoding
problem is related to the continuous recognition as well as to the
segmentation. Learning problem must be solved, if we want to train an
HMM for the subsequent use of recognition tasks.
Narada Warakagoda
Fri May 10 20:35:10 MET DST 1996
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