Method of generating a subword model for speech recognition

Details Method of generating a subword model for speech recognition Method of generating a subword model for speech recognition

1995-09-21

1997-10-14

MacDonald, Allen R.

395 264, 395 26, 395 263, G10L 506

Patent

active

056779887

ABSTRACT:
An automated method of generating a subword model for speech recognition dependent on phoneme context for processing speech information using a Hidden Markov Model in which static features of speech and dynamic features of speech are modeled as a chain of a plurality of output probability density distributions. The method comprising determining a phoneme context class which is a model unit allocated to each model, the number of states used for representing each model, relationship of sharing of states among a plurality of models, and output probability density distribution of each model, by repeating splitting of a small number of states, provided in an initial Hidden Markov Model, based on a prescribed criterion on a probabilistic model.

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Rabiner, "A Tuturiol on Hidden Markov Models and Selected Applications in Speech Recognition", Proc. IEEE, vol. 77 No. 8 1989.

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