Linear stochastic systems
Fast search algorithms for connected phone recognition using the stochastic segment model
HLT '90 Proceedings of the workshop on Speech and Natural Language
Improvements in the stochastic segment model for Phoneme recognition
HLT '89 Proceedings of the workshop on Speech and Natural Language
Phonetic classification on wide-band and telephone quality speech
HLT '91 Proceedings of the workshop on Speech and Natural Language
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A dynamical system model is proposed for better representing the spectral dynamics of speech for recognition. We assume that the observed feature vectors of a phone segment are the output of a stochastic linear dynamical system and consider two alternative assumptions regarding the relationship of the segment length and the evolution of the dynamics. Training is equivalent to the identification of a stochastic linear system, and we follow a nontraditional approach based on the Estimate-Maximize algorithm. We evaluate this model on a phoneme classification task using the TIMIT database.