Man-machine dialogue anomaly detection system and method
A technology of anomaly detection and man-machine dialogue, applied in the field of information processing
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[0024] like figure 1 As shown, the present embodiment relates to a human-machine dialog anomaly detection system, comprising: a speech recognition module (ASR module), a speech synthesis module (TTS module), a semantic recognition module (SLU module), and a dialog state tracking module (DST module) , dialog decision module (DM module), database query module (DATA module), natural language generation module (NLG module), abnormality detection module (DAD module) and exception processing module, wherein: ASR module unifies user input into character data Output to the SLU module. The SLU module extracts the semantics in the character data and then outputs the extraction result to the DST module. The DST module estimates the user's intention based on the dialogue above and sends the most likely user intention to the DATA module for database query. DATA The module returns the result of the query to the DST module, and the DST module sends the estimated user intent and database quer...
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