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US Patent 10311872 Utterance classifier

Patent 10311872 was granted and assigned to Google on June, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103118720
Patent Inventor Names
Srinivas Vasudevan0
Gabor Simko0
Guru Prakash Arumugam0
Maria Carolina Parada San Martin0
Nathan David Howard0
Ramkarthik Kalyanasundaram0
Date of Patent
June 4, 2019
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Patent Application Number
156590160
Date Filed
July 25, 2017
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Patent Citations Received
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US Patent 12125477 Hot-word free pre-emption of automated assistant response presentation
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US Patent 10692502 Method and apparatus for detecting spoofing conditions
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US Patent 11705125 Dynamic voice input detection for conversation assistants
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US Patent 11756533 Hot-word free pre-emption of automated assistant response presentation
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US Patent 12087280 System and method for robust wakeword detection in presence of noise in new unseen environments without additional data
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US Patent 11488605 Method and apparatus for detecting spoofing conditions
Patent Primary Examiner
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Qi Han
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Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for classification using neural networks. One method includes receiving audio data corresponding to an utterance. Obtaining a transcription of the utterance. Generating a representation of the audio data. Generating a representation of the transcription of the utterance. Providing (i) the representation of the audio data and (ii) the representation of the transcription of the utterance to a classifier that, based on a given representation of the audio data and a given representation of the transcription of the utterance, is trained to output an indication of whether the utterance associated with the given representation is likely directed to an automated assistance or is likely not directed to an automated assistant. Receiving, from the classifier, an indication of whether the utterance corresponding to the received audio data is likely directed to the automated assistant or is likely not directed to the automated assistant. Selectively instructing the automated assistant based at least on the indication of whether the utterance corresponding to the received audio data is likely directed to the automated assistant or is likely not directed to the automated assistant.

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