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

Martin Russell

Research output: Contribution to journalArticle

6 Citations (Scopus)

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

Fingerprint

Dive into the research topics of 'Reducing computational load in segmental hidden Markov model decoding for speech recognition'. Together they form a unique fingerprint.

Cite this