Invention Grant
- Patent Title: Implementing a correction model to reduce propagation of automatic speech recognition errors
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Application No.: US16992291Application Date: 2020-08-13
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Publication No.: US11462208B2Publication Date: 2022-10-04
- Inventor: Thanh Long Duong , Mark Edward Johnson
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G10L15/01
- IPC: G10L15/01 ; G10L15/16 ; G10L15/22

Abstract:
Some techniques described herein determine a correction model for a dialog system, such that the correction model corrects output from an automatic speech recognition (ASR) subsystem in the dialog system. A method described herein includes accessing training data. A first tuple of the training data includes an utterance, where the utterance is a textual representation of speech. The method further includes using an ASR subsystem of a dialog system to convert the utterance to an output utterance. The method further includes storing the output utterance in corrective training data that is based on the training data. The method further includes training a correction model based on the corrective training data, such that the correction model is configured to correct output from the ASR subsystem during operation of the dialog system.
Public/Granted literature
- US20210074262A1 IMPLEMENTING A CORRECTION MODEL TO REDUCE PROPAGATION OF AUTOMATIC SPEECH RECOGNITION ERRORS Public/Granted day:2021-03-11
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