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

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Abstract

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.

Details

Original languageEnglish
Pages (from-to)1408-1409
Number of pages2
JournalElectronics Letters
Volume41
Issue number25
Publication statusPublished - 1 Dec 2005