Real-time conversation synchronous translation method and system based on deep learning

Through a real-time call synchronization translation system based on deep learning, the problem of communication barriers in calls in different languages ​​is solved, real-time translation and efficient communication are achieved, and the convenience and user experience of cross-border communication are improved.

CN119728656AInactive Publication Date: 2025-03-28吴汶柽
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Patent Information

Application Number
CN202510010189.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-03
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When talking in different languages, communication barriers and misunderstandings can be caused due to insufficient language skills, especially in transnational communications.

Method used

The real-time call synchronous translation method and system based on deep learning are adopted. Through the combination of the reception module, multi-function translation unit and query unit, the voice information on the call end is translated in real time, so that both parties can understand it in real time.

Benefits of technology

It significantly improves the communication efficiency of multinational personnel in telephone or voice communication, enhances the communication experience of users, and improves the convenience of language conversion by establishing a translation database.

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Abstract

The invention relates to the technical field of synchronous translation, in particular to a real-time conversation synchronous translation method and system based on deep learning, and the system comprises a receiving module which is characterized in that the receiving module respectively receives first voice information of a first conversation end and second voice information of a second conversation end; the first voice information corresponds to a first language, the second voice information corresponds to a second language, and the receiving module is electrically connected with a first translation module 7 and a second translation module. And the language can be understood by the other party, so that the communication efficiency of transnational personnel in telephone or voice communication is remarkably improved. The progress also enhances the communication experience of the user, and through the cooperative use of the receiving unit, the equipment unit and the query unit, the voice input of multiple languages is processed by training the translation model, so that the convenience of the user is improved.
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