Computer speech recognition and semantic understanding from activity patterns

作者: Shira Weinberg , Dikla Dotan-Cohen

DOI:

关键词: Speech recognitionSIGNAL (programming language)Natural language processingSet (psychology)Artificial intelligenceUser intentContext (language use)Action (philosophy)Computer science

摘要: A user activity pattern may be ascertained using signal data from a set of computing devices. The used to infer intent with regards interaction device or predict likely future action by the user. In one implementation, devices is monitored detect activities sensors associated Activity features detected are determined and identify an based on plurality having similar features. Examples patterns include time, location, content, other context. inferred predicted actions facilitate understanding speech determining semantic

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