刚刚，字节掏出AI同传模型王炸，2秒延迟，0样本复刻你的声音，一手实测来了

Core Insights - Seed LiveInterpret 2.0 has achieved state-of-the-art performance in real-time translation, demonstrating superior translation quality, response speed, and voice reproduction capabilities [2][4][19] - The system utilizes a duplex speech understanding and generation framework, enabling real-time speech-to-speech translation with minimal latency [4][6][19] Technology and Performance - The system supports "listen and speak" functionality, allowing simultaneous processing of source language input and target language output, achieving an average translation output time of approximately 2.5 seconds [6][8] - Seed LiveInterpret 2.0 incorporates reinforcement learning to optimize translation accuracy and reduce latency, with improvements in output delay from 3.90 seconds to 2.37 seconds for long text translation tasks [8][9] - The model's speech translation latency can be as low as 2 to 3 seconds, significantly reducing waiting time compared to traditional systems by over 60% [6][12] Unique Features - The system features zero-shot voice cloning capability, allowing it to replicate the speaker's voice in real-time without pre-recording, enhancing the emotional conveyance of the translation [10][19] - In evaluations, Seed LiveInterpret 2.0 achieved a speech translation quality score of 74.8, outperforming competitors by a significant margin [13][16] Evaluation and Comparison - In comparative assessments, Seed LiveInterpret 2.0 demonstrated superior performance in both speech-to-text and speech-to-speech tasks, achieving the highest scores in BLEURT and COMET metrics [16][18] - The system's voice reproduction quality and rhythm control capabilities allow it to maintain synchronization with the speaker's pace, addressing common issues in translation [9][10] Future Prospects - The technology's scalability suggests potential for future multilingual support and enhanced emotional mimicry, positioning it as a leading solution in the AI translation space [19]