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Reducing computational load in segmental hidden Markov model decoding for speech recognition

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1 Author(s)
M. J. Russell ; Sch. of Eng., Univ. of Birmingham, UK

Segment models have the potential to improve automatic speech recognition accuracy but with increased computational load. Two techniques which reduce this load are described: segmental beam pruning, and duration pruning. Experiments show that they can combine to give a 95% reduction in segment probability computations at a cost of a 3% increase in phone error rate.

Published in:

Electronics Letters  (Volume:41 ,  Issue: 25 )