🇨🇳China·AI News·27 Oct 2026·via Tech Node

    Tencent open-sources AI model for real-time Chinese-English interpretation

    Tencent has open-sourced Hy-SimulMT, an AI model for simultaneous Chinese-English interpretation. The model processes continuous speech, offering both text and speech output, and includes real-time voice cloning designed to retain the original speaker’s vocal characteristics. Tencent reported a streaming translation lag of approximately three seconds on the RealSI benchmark.

    Tencent's release of Hy-SimulMT provides developers with access to its model weights, inference software, and training tools for Chinese-English interpretation. This open-source approach means the underlying technology for real-time language translation, including its continuous speech processing and voice cloning, is available for broader experimentation and integration.

    The model's reported performance offers a practical measure for simultaneous interpretation. Tencent stated that Hy-SimulMT achieved a streaming translation lag of approximately three seconds on the RealSI long-form audio benchmark. This indicates a rapid response time designed to maintain conversational flow, even if not truly instantaneous.

    Beyond speed, Tencent also reported that Hy-SimulMT's translation quality scores surpassed those of other open-source models and four out of five commercial APIs in its comparison. This suggests the model aims to deliver not only quick but also accurate and natural-sounding translations. Users should note that speech generation and voice cloning require a separate, configured text-to-speech service to function fully.

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