发明授权
- 专利标题: Utilizing machine learning models to generate automated empathetic conversations
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申请号: US17301489申请日: 2021-04-05
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公开(公告)号: US11854540B2公开(公告)日: 2023-12-26
- 发明人: Anutosh Maitra , Shubhashis Sengupta , Sowmya Rasipuram , Roshni Ramesh Ramnani , Junaid Hamid Bhat , Sakshi Jain , Manish Agnihotri , Dinesh Babu Jayagopi
- 申请人: Accenture Global Solutions Limited
- 申请人地址: IE Dublin
- 专利权人: Accenture Global Solutions Limited
- 当前专利权人: Accenture Global Solutions Limited
- 当前专利权人地址: IE Dublin
- 代理机构: Harrity & Harrity, LLP
- 优先权: IN 2141000924 2021.01.08
- 主分类号: G10L15/183
- IPC分类号: G10L15/183 ; G10L15/18 ; G06T7/70 ; G10L25/63 ; G06F40/35 ; G10L25/57 ; G10L15/16 ; G10L15/22 ; G10L25/90 ; G06N3/08 ; G06N3/04 ; A61B5/16 ; A61B5/00 ; A61B5/11 ; G06V20/40 ; G06V40/16 ; G06N3/0455
摘要:
A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.
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