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Bytedance Researchers Present Cross Language Agent – Simultaneous Interpretation (CLASI): A High-Quality And Human-Like Simultaneous Speech Translation (SiST) System

Bytedance Researchers Present Cross Language Agent – Simultaneous Interpretation (CLASI): A High-Quality And Human-Like Simultaneous Speech Translation (SiST) System

Practical Solutions and Value of Cross Language Agent – Simultaneous Interpretation (CLASI)

Overcoming SiST Challenges

CLASI addresses challenges in simultaneous speech translation (SiST) by emulating human interpreter approaches, integrating speech context and external knowledge, mitigating noise, and enhancing in-context learning capability.

Improved Translation Quality and Evaluation

CLASI achieves a high Valid Information Proportion (VIP) score, outperforming human interpreters in some scenarios. It uses a new evaluation metric, demonstrating a bright future for SiST.

Future Applications and Considerations

The model shows potential to evolve with additional research into improving multi-modal reward models and reinforcement learning from human feedback (RLHF) to enhance performance.

Evolve Your Company with AI

Stay competitive and explore the advantages of CLASI for high-quality simultaneous speech translation (SiST). Identify automation opportunities, define KPIs, select AI solutions, and implement gradually for measurable impacts on business outcomes.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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