Parallelizing WFST speech decoders

ICASSP, pp. 5325-5329, 2016.

Cited by: 11|Bibtex|Views113
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

The performance-intensive part of a large-vocabulary continuous speech-recognition system is the Viterbi computation that determines the sequence of words that are most likely to generate the acoustic-state scores extracted from an input utterance. This paper presents an efficient parallel algorithm for Viterbi. The key idea is to partiti...More

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