Importance

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Abstract

A system of generative chatbot in a real multi-person response situation and a method thereof are disclosed. In the system, speech signals are sensed and converted into feature vectors and text messages, and a timing label and a classification label are embedded into the text messages, the text messages are stored as a context message, so that a server-end host can determine a timing logic of a multi-person conversation, and the context message and the timing logic are transmitted to an artificial intelligence device which determines a current conversation stage, a topic evolution, predicts a conversation development, and actively generates and stores a response message to the server-end host; the server-end host can filter out the response messages and transmit the filtered response message to a portable device for output. Therefore, the technical effect of improving conversational initiative and response efficiency can be achieved.

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First Claim