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Learning interaction system and method based on voice interaction

A voice interaction and voice technology, applied in the field of interactive learning, can solve problems such as single and blunt answers, low interaction efficiency, and inability to adapt to students, so as to achieve efficient homework practice and improve learning efficiency

Pending Publication Date: 2021-12-21
广州宏途数字科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing pronunciation learning is passive, requiring students to actively ask questions, and the system will search for answers in the database, and only answer if there is such a question
This kind of interaction is inefficient and the database construction is difficult, and the answer is very single and blunt
Moreover, the current answers are all the same, and cannot be adapted according to the students' abilities.

Method used

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  • Learning interaction system and method based on voice interaction
  • Learning interaction system and method based on voice interaction
  • Learning interaction system and method based on voice interaction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Such as figure 2 , the figure 2 It is a schematic flowchart of a learning interaction method based on voice interaction disclosed in the embodiment of the present application, one-to-one and AI-assisted interactive learning. The specific steps of the learning interaction method are as follows:

[0044] S101, start, the user turns on the desk lamp and the voice learning machine, the voice learning machine obtains the environmental parameter information, automatically adjusts the light intensity, color and flashing frequency of the lighting effect unit according to the ambient light, and at the same time adjusts the volume according to the environmental noise and turns on the microphone. The playback unit emits a startup sound;

[0045] S102, log in, the user answers by voice, and the voice learning machine identifies the identity through the voiceprint. If the voiceprint verification fails or the parent is a parent, enter the normal mode and wait for the next voice c...

Embodiment 2

[0056] said image 3 It is a schematic flowchart of a voice interaction-based learning interaction method disclosed in the embodiment of the present application, in which a multi-person study group completes interactive exercises. The specific steps to learn how to interact are as follows:

[0057] S201, login, the user answers by voice, and the voice learning machine enters the learning mode through the voiceprint identification login system, and automatically imports the learning content and homework items of the day from the student database;

[0058] S202, multi-person virtual classroom, when there are multi-person interactive exercises in the homework project (such as oral dialogue exercises in English, recitation questions in Chinese), students can join the multi-person virtual classroom by themselves and wait for others to join, or join A multi-person virtual classroom built by others; when joining a multi-person virtual classroom and the number of people reaches the s...

Embodiment 3

[0070] said Figure 4 It is a schematic flowchart of a learning interaction method based on voice interaction disclosed in the embodiment of the present application, and one person efficiently completes the homework. The specific steps to learn how to interact are as follows:

[0071] S301. Start the AI. When the student selects the activity object as an AI pet, they can set the pet type, focus time and rewards according to their preferences;

[0072] S302, AI virtual classroom, start the tomato learning function when you start learning, AI pets will remain silent during the student's concentration time of 15-30 minutes, when the concentration time is reached, the lighting atmosphere will flash, the background white noise will become faster, AI pets make several calls;

[0073] S303. Feedback. If the student issues an instruction to take a break at this time, the lighting atmosphere will stop flashing and the background white noise will be turned off. The AI ​​pet actively i...

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PUM

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Abstract

The invention discloses a learning interaction method based on voice interaction, and the method comprises the steps: receiving and obtaining environment parameter information after a voice learning machine is started, transmitting prompt voice, starting a voice collection unit, and collecting a voice instruction transmitted by a student through the voice collection unit; identifying student identities through voiceprints, logging in the system, importing learning contents and homework items of the day from a student database, and constructing a virtual classroom of the day according to the selection of the students; and enabling the students to perform interactive learning according to the voice prompt in the virtual classroom. A proper interaction object is matched through an algorithm, so that the learning process is not monotonous and interesting, and meanwhile, communication is performed through a voice paper strip; students can complete oral English practice needing multi-person interaction at home through an algorithm, and parents do not need to participate. A voice prompt label is inserted into a homework through an algorithm, and a proper prompt level is matched, so that each student can obtain a prompt more accurately through a voice mode, and a good habit of finding answers according to the prompt is developed.

Description

technical field [0001] The invention relates to the technical field of interactive learning, in particular to a learning interaction system and method based on voice interaction. Background technique [0002] Now parents are getting more and more busy, unable to accompany and supervise students in homework practice; moreover, many families are only children, and there is a lack of learning atmosphere for studying alone. During the learning process, if someone can interact and accompany students, it can greatly increase the initiative and fun of learning; but it is also necessary to avoid excessive interaction and waste of time, avoid chatting and forgetting to complete homework; [0003] With the maturity of intelligent speech recognition, the field of learning is gradually adopting voice interaction to assist learning. However, the existing pronunciation learning is passive, requiring students to actively ask questions, and the system will search for answers in the databas...

Claims

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Application Information

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IPC IPC(8): G10L15/00G10L15/02G10L15/22
CPCG10L15/005G10L15/02G10L15/22G10L2015/223G10L2015/225
Inventor 徐丹
Owner 广州宏途数字科技有限公司