(model* mo, sequence_t* sq)
Baum-Welch-Algorithm for parameter reestimation (training) in a StateLabelHMM.
Documentation
Baum-Welch-Algorithm for parameter reestimation (training) in
a StateLabelHMM. Scaled version for multiple sequences, alpha and
beta matrices are allocated with stat_matrix_d_alloc
New parameters set directly in hmm (no storage of previous values!).
For reference see:
Rabiner, L.R.: "`A Tutorial on Hidden {Markov} Models and Selected
Applications in Speech Recognition"', Proceedings of the IEEE,
77, no 2, 1989, pp 257--285
- Parameters:
- - mo initial model
sq - training sequences
- Returns:
- 0/-1 success/error
Alphabetic index
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