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