- 专利标题： Machine learning used to detect alignment and misalignment in conversation
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申请号： US16817944申请日： 2020-03-13
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公开(公告)号： US11817086B2公开(公告)日： 2023-11-14
- 发明人: Evgeniy Bart , Margaret H. Szymanski
- 申请人： Palo Alto Research Center Incorporated
- 申请人地址： US CA Palo Alto
- 专利权人： XEROX CORPORATION
- 当前专利权人： XEROX CORPORATION
- 当前专利权人地址： US CT Norwalk
- 代理机构： Mueting Raasch Group
- 主分类号： G06N3/08
- IPC分类号： G06N3/08 ; G10L15/14 ; G06N20/00 ; G10L15/06 ; G06F16/28 ; G10L17/26
摘要：
Digitized media is received that records a conversation between individuals. Cues are extracted from the digitized media that indicate properties of the conversation. The cues are entered as training data into a machine learning module to create a trained machine learning model. The trained machine learning model is used in a processor to detect other misalignments in subsequent digitized conversations.
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