Voice interaction method and voice interaction device

Abstract

The invention discloses a voice interaction method and a voice interaction device. The method comprises steps: after a voice recognition text is received, the voice recognition text is distributed to each service respectively, and semantic understanding is carried out respectively; and based on the obtained semantic understanding result and the application state of a client, confidence ranking is carried out, a semantic understanding result with the highest confidence is acquired, and a response is given to the semantic understanding result with the highest confidence. As confidence ranking of semantic understanding results on multidimensional-based information not only considers the matching degree between a semantic understanding result and each service but also considers the application state of the client, for example, whether the client is in a navigation state or a music listening state, the application of the client and the application state are possibly objects to be processed by voice interaction, semantic understanding on the multidimensional-based information can effectively enhance the accuracy of judging the service belonging, the accuracy of man-machine interaction semantic understanding is improved, and the user experience is enhanced.

Description

Technical field [0001] The present invention relates to the field of voice signal processing, in particular to a voice interaction method and device. Background technique [0002] With the increasing maturity of artificial intelligence-related technologies, people's lives have begun to become intelligent, and various smart devices have gradually entered people's daily lives, such as smart cars. Voice is one of the mainstream interactive methods in smart device applications, and its convenient and fast advantages are obvious to all. [0003] During voice interaction, the voice input by the user is transcribed into text and then undergoes semantic understanding, and the client responds to the corresponding event according to the result of semantic understanding. However, different from the close-range voice interaction of mobile terminals such as mobile phones, in the application environment of smart homes or cars, the user is relatively far away from the microphone, coupled with no...

AI Technical Summary

Problems solved by technology

However, unlike the close-range voice interaction of mobile terminals such as mobile phones, in application environments such as smart homes or cars, the distance between the user and the microphone is relatively long, and noise in noisy environments, tire noise in car environments, air-conditioning noise, Factors such as human voice interference from the co-pilot and rear passengers make the environment very complicated

In this way, even when the user has no interaction intention, due to the influence of noise, the recognition and semantics are falsely triggered, and the result of semantic understanding is given, which often leads to the corresponding response from the client.

This will not only bring poor user experience to users, but also affect the correctness of subsequent semantic understanding due to false triggering of semantics, especially in the process of voice interaction considering historical information

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