Invention Grant
- Patent Title: Topic shift detector
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Application No.: US16127343Application Date: 2018-09-11
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Publication No.: US10691735B2Publication Date: 2020-06-23
- Inventor: Donna K. Byron , Barton W. Emanuel , Samir Mahdad , Sarbajit K. Rakshit , Craig M. Trim
- 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: Daugherty & Del Zoppo Co. LPA
- Agent Patrick J. Daugherty
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/33 ; G10L15/22 ; G06F16/35 ; G10L15/08 ; G10L15/18

Abstract:
Aspects detect or recognize shifts in topics in computer implemented speech recognition processes as a function of mapping keywords to non-verbal cues. An initial topic is mapped to one or more keywords extracted from a first spoken query within a user keyword ontology mapping. A query spoken subsequent in time to the first query is identified and distinguished by recognizing one or more non-verbal cues associated with the audio data input that include a time elapsed between the queries, and in some aspects a user's facial expression or motion activity. Aspects determine whether the second spoken query is directed to the initial topic or to a new topic that is different from the initial topic, as a function of mappings of the keyword(s) extracted from the first query to one or more keywords extracted from the second query and to the non-verbal cue(s) within the user ontology mapping.
Public/Granted literature
- US20190005123A1 TOPIC SHIFT DETECTOR Public/Granted day:2019-01-03
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