Man-machine interaction intelligent learning method and device

Abstract

The disclosure relates to a man-machine interaction intelligent learning method and device applied to a terminal; the method comprises the following steps: obtaining collected first voice information; identifying the first voice information and converting same into text information; loading the text information into a preset learning database to research, thus obtaining a research result; converting the search result into second voice information, thus realizing interaction with a user. The advantages are that the user and the terminal can interact through voices; an ask-and-answer (answer-and-ask) mode can allow the user to continuously finish the learning process in the interaction process, and providing excellent learning effect; the method is especially suitable for children of young ages, thus increasing interests in the learning process.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of terminal technologies, and in particular, to a method and device for intelligent learning of human-computer interaction. Background technique [0002] The current terminals are becoming more and more intelligent, such as mobile phones, tablet computers, TVs, speakers, etc., but these terminals are mainly used for communication, and entertainment, office, etc. can also be realized by downloading apps through the terminal system. The target customers are all adult users with a certain ability to identify, and it is not of learning significance for younger children. [0003] Through some software with learning functions, written words or videos of learning content are used, which are usually set up for more mature users at present, ignoring children in the learning stage, and of course they can achieve a certain degree of learning. Function, but this learning method lacks human-computer interac...

AI Technical Summary

Problems solved by technology

[0003] Through some software with learning functions, written words or videos of learning content are used, which are usually set up for more mature users at present, ignoring children in the learning stage, and of course they can achieve a certain degree of learning. functions, but this learning method lacks human-computer interaction and oral training, as well as necessary learning content for younger children, and cannot attract children's attention, nor can it achieve the learning effect for younger children

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