- 专利标题: RELEVANT CONTEXT DETERMINATION
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申请号: US18739466申请日: 2024-06-11
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公开(公告)号: US20240331686A1公开(公告)日: 2024-10-03
- 发明人: Kai Wei , Thanh Dac Tran , Grant Strimel
- 申请人: Amazon Technologies, Inc.
- 申请人地址: US WA Seattle
- 专利权人: Amazon Technologies, Inc.
- 当前专利权人: Amazon Technologies, Inc.
- 当前专利权人地址: US WA Seattle
- 主分类号: G10L15/18
- IPC分类号: G10L15/18 ; G06N3/08 ; G10L15/06 ; G10L15/16 ; G10L15/22 ; G10L15/28
摘要:
Techniques for determining and storing relevant context information for a user input, such as a spoken input, are described. In some embodiments, context information is determined to be relevant on an audio frame basis. Context scores for different types of context data (e.g., prior dialog turn data, user profile data, device information, etc.) are determined for individual audio frames corresponding to a spoken input. Based on the corresponding context scores, the most relevant context is stored in a local context cache. The local context cache is updated as subsequent audio frames, of the user input, are processed. The data stored in the context cache is provided to downstream components to perform tasks such as ASR, NLU and SLU.
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