Multilingual re-scoring models for automatic speech recognition

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United States of America

PATENT NO 12254875
APP PUB NO 20240203409A1
SERIAL NO

18589220

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Abstract

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A method includes receiving a sequence of acoustic frames extracted from audio data corresponding to an utterance. During a first pass, the method includes processing the sequence of acoustic frames to generate N candidate hypotheses for the utterance. During a second pass, and for each candidate hypothesis, the method includes: generating a respective un-normalized likelihood score; generating a respective external language model score; generating a standalone score that models prior statistics of the corresponding candidate hypothesis; and generating a respective overall score for the candidate hypothesis based on the un-normalized likelihood score, the external language model score, and the standalone score. The method also includes selecting the candidate hypothesis having the highest respective overall score from among the N candidate hypotheses as a final transcription of the utterance.

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Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Tongzhou Mountain View, US 7 11
Gaur, Neeraj Mountain View, US 15 86
Haghani, Parisa Mountain View, US 15 41
Mengibar, Pedro J Moreno Jersey City, US 65 1165
Ramabhadran, Bhuvana Mt. Kisco, US 125 2541
Variani, Ehsan Mountain View, US 17 240

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