Invention Grant
- Patent Title: Method and system for correcting speech-to-text auto-transcription using local context of talk
-
Application No.: US16196245Application Date: 2018-11-20
-
Publication No.: US10832679B2Publication Date: 2020-11-10
- Inventor: Margaret H. Szymanski , Robert J. Moore , Sunhwan Lee , Pawan Chowdhary , Shun Jiang , Guangjie Ren , Raphael Arar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Sherman IP LLP
- Agent Kenneth L. Sherman; Hemavathy Perumal
- Main IPC: G10L15/26
- IPC: G10L15/26 ; G06N5/02 ; G10L15/16 ; G06N20/00 ; G06N3/02

Abstract:
One embodiment provides a computer program product for improving accuracy of a transcript of a spoken interaction. The computer program product comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to identify a plurality of patterns in the transcript. The plurality of patterns are indicative of a group of acoustically similar words in the transcript and a corresponding local, sequential context of the group of acoustically similar words. The program instructions are further executable by the processor to cause the processor to predict conditional probabilities for the group of acoustically similar words based on a predictive model and the plurality of patterns, detect one or more transcription errors in the transcript based on the conditional probabilities, and correct the one or more transcription errors by applying a multi-pass correction on the one or more transcription errors.
Public/Granted literature
- US20200160866A1 METHOD AND SYSTEM FOR CORRECTING SPEECH-TO-TEXT AUTO-TRANSCRIPTION USING LOCAL CONTEXT OF TALK Public/Granted day:2020-05-21
Information query