Incorporating Written Domain Numeric Grammars into End-To-End Contextual Speech Recognition Systems for Improved Recognition of Numeric Sequences

Haynor, Ben; Aleksic, Petar S.

doi:10.1109/icassp40776.2020.9054259

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Cited by 3 publications

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“…The idea of biasing WFSTs with domain knowledge has been previously explored in the speech recognition community [2], [14]. We drew our inspiration from these works.…”

Section: Related Workmentioning

confidence: 99%

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Improving Structured Text Recognition with Regular Expression Biasing

Shi¹,

Cheng²,

Lu³

et al. 2021

Preprint

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“…The idea of biasing WFSTs with domain knowledge has been previously explored in the speech recognition community [2], [14]. We drew our inspiration from these works.…”

Section: Related Workmentioning

confidence: 99%

“…[2] proposes to improve the recognition of contact names by dynamic WFST replacement, which we also used for injecting regex patterns. [14] proposes to improve the recognition of numeric sequence by building numeric grammar modeled by WFST, which is similar to our idea of improving structured text with regex-defined grammars.…”

Section: Related Workmentioning

confidence: 99%