Teaching interactive answering positioning method, device, computer equipment and storage medium

Through multimodal fusion technology and momentum perception Transformer module, the problem of inaccurate answer positioning in classroom interactive teaching is solved, and a more efficient and fair teaching environment is achieved.

CN119559972BActive Publication Date: 2025-04-18GUANGDONG OPEN UNIV (GUANGDONG POLYTECHNIC VOCATIONAL COLLEGE)
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Patent Information

Application Number
CN202510111911.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-24
Publication Date
2025-04-18
Estimated Expiration
2045-01-24

AI Technical Summary

Technical Problem

In the existing classroom interactive teaching environment, there are inaccurate problems in the positioning method of students' quick answers, which affects teaching fairness and classroom order.

Method used

Multimodal fusion technology is adopted to generate a spectrum mask through feature extraction and fusion of video frame sequences and mixed audio files, and a visual sound source positioning map is generated through momentum perception Transformer module and CAM.

Benefits of technology

It improves the accuracy and response speed of quiz positioning, enhances the interactive and interesting teaching, and improves teaching efficiency and quality.

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Abstract

The present invention belongs to the field of artificial intelligence, and relates to a teaching interactive answering positioning method, device, computer equipment and storage medium. The method includes: obtaining a set of video frame sequences and a corresponding mixed audio file; identifying key frames in the set of video frame sequences, performing feature extraction, and performing short-time Fourier transform on the mixed audio, and then performing feature extraction on the audio; performing multimodal fusion to generate a spectrum mask; calculating the momentum information of continuous video frames and generating momentum embedding, and performing spectrum embedding processing according to the spectrum mask; inputting a momentum-aware Transformer module to generate sequence information; performing residual fusion to generate a spectrum mask; and generating a visual sound source localization map. Multimodal fusion improves positioning accuracy, momentum embedding and spectrum embedding enhance timing sensitivity, residual fusion optimizes feature integration, and a visual sound source localization map enhances intuitiveness, enhances the interactivity and fun of learning, and helps to improve teaching efficiency and quality.
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