Artificial intelligence-based english spoken language pronunciation correction system

By using an AI-based English pronunciation correction system that leverages tactile guidance and multimodal learning, the system addresses the issues of disconnected pronunciation features and limitations in single-modal information processing for visually impaired students. This improves the pronunciation correction effect for visually impaired students and enables a embodied multimodal learning experience.

CN122392380APending Publication Date: 2026-07-14SHANDONG VOCATIONAL COLLEGE OF SPECIAL EDUCATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG VOCATIONAL COLLEGE OF SPECIAL EDUCATION
Filing Date
2026-04-07
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing oral pronunciation correction systems are severely out of touch with the pronunciation characteristics of visually impaired students and suffer from cognitive limitations in single-modal information processing. This results in visually impaired students having a natural disadvantage in imitating and correcting fine pronunciations such as intonation and connected speech in English learning.

Method used

An AI-based English pronunciation correction system is used to help visually impaired students develop pronunciation awareness through a tactile guidance module. Combined with a multimodal learning process, it utilizes the tactile perception ability of visually impaired students to achieve synchronous input of auditory and tactile information, simulates the cross-modal plasticity of the visually impaired brain, and designs a special tactile generation network to provide instant corrective feedback, forming a closed-loop multimodal learning experience.

Benefits of technology

It improves the retention rate of pronunciation memory for visually impaired students, establishes embodied pronunciation cognition, identifies the causes of errors through multi-task learning and provides targeted training, and achieves precise pronunciation correction for visually impaired students, breaking through the limitations of traditional systems.

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Abstract

The application belongs to the field of intelligent teaching, and particularly relates to an English oral pronunciation correction system based on artificial intelligence, which comprises a multi-modal perception module, a deep pronunciation feature extraction module, a cognitive compensation fusion module and an intelligent correction and training planning module; the abstract pronunciation is converted into a tactile experience through a multi-modal learning process, the tactile information and the auditory information are synchronously input, the memory retention rate of the visually impaired students is improved, and the students are guided to deeply remember the acoustic characteristics of the pronunciation; the application simulates the auditory-tactile joint representation ability of the visually impaired brain through the learnable attention weight and the cognitive compensation prior mask, realizes the real sense of "touch instead of vision", simultaneously identifies the error reasons through multi-task learning, provides scientific basis for targeted training, designs a special tactile generation network, maps the acoustic characteristics and the pronunciation error types into tactile patterns, provides instant tactile correction feedback for the students, and forms a closed-loop multi-modal learning experience.
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