Real-time cross-lingual speech translation for English teaching via federated transfer learning and multi-modal knowledge distillation

Key Points

• This research aims to evaluate the effectiveness of real-time cross-lingual speech translation for enhancing English language education.
• Implemented real-time translation system utilizing federated transfer learning and multi-modal knowledge distillation.
• Conducted evaluations with English learners to assess translation efficacy.
• Analyzed user engagement during translation sessions.
• Improved translation accuracy by 30% compared to traditional methods (p<0.01).
• Increased learner engagement noted, with 80% of participants reporting enhanced understanding.
• Reduction in translation latency by 25%, enhancing real-time interaction.