Dynamic adaptation of language models and semantic tracking for automatic speech recognition

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United States of America Patent

PATENT NO 9858923
SERIAL NO

14864456

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Abstract

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Generally, this disclosure provides systems, devices, methods and computer readable media for adaptation of language models and semantic tracking to improve automatic speech recognition (ASR). A system for recognizing phrases of speech from a conversation may include an ASR circuit configured to transcribe a user's speech to a first estimated text sequence, based on a generalized language model. The system may also include a language model matching circuit configured to analyze the first estimated text sequence to determine a context and to select a personalized language model (PLM), from a plurality of PLMs, based on that context. The ASR circuit may further be configured to re-transcribe the speech based on the selected PLM to generate a lattice of paths of estimated text sequences, wherein each of the paths of estimated text sequences comprise one or more words and an acoustic score associated with each of the words.

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Patent Owner(s)

  • INTEL CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Assayag, Michel Shoham, IL 9 61
Pereg, Oren Amikam, IL 43 2781
Rider, Tomer Naahryia, IL 85 870
Sivak, Alexander Haifa, IL 4 36
Taite, Shahar Kfar Saba, IL 38 462
Wasserblat, Moshe Maccabim, IL 46 3190

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