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An inventory of HMMs has been generated for the development of speaker and vocabulary independent speech recognition applications in telephony.This has been achieved by applying a modelling technique which uses subword units (biphonicles) to a fairly large telephone speech corpus.The best average recognition error rates for ve different task vocabularies were 6.6% and 6.8% for male and female speakers respectively.6.
JOHN et al. (Thu,) studied this question.
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