ACOUSTIC MODEL TRAINING USING CORRECTED TERMS

Patent №

US 10,019,986

Granted

2018-07-10

Filed 2016

Owner

GOOGLE INC.

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15224104

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving first audio data corresponding to an utterance; obtaining a first transcription of the first audio data; receiving data indicating (i) a selection of one or more terms of the first transcription and (ii) one or more of replacement terms; determining that one or more of the replacement terms are classified as a correction of one or more of the selected terms; in response to determining that the one or more of the replacement terms are classified as a correction of the one or more of the selected terms, obtaining a first portion of the first audio data that corresponds to one or more terms of the first transcription; and using the first portion of the first audio data that is associated with the one or more terms of the first transcription to train an acoustic model for recognizing the one or more of the replacement terms.

Machine learningNatural languageSpeechKnowledge representationAI hardwareG10L 15/063G10L 15/01G10L 15/06G10L 15/10G10L 15/22G10L 15/32G10L 2015/0635G10L 2015/0638+1 more

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
AI hardware0.94
Knowledge representation0.53
Vision0.03
Evolutionary computation0.01
Planning0.01

Ownership

GOOGLE INC.

assignment · 393120217

Assignors

KAPRALOVA, OLGA, CHEREPANOV, EVGENY A., OSMAKOV, DMITRY, BAEUML, MARTIN, SKOBELTSYN, GLEB

On an employer assignment, the assignors are typically the inventors.

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