Tencent’s Hunyuan open-source AI simultaneous interpretation model delivers around 3-second latency for real-time translation and supports speaker voice cloning.
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Beating AI News Flash: Tencent’s Hunyuan has open-sourced the simultaneous interpretation model Hy-SimulMT, supporting real-time bidirectional Chinese-English translation. Unlike traditional models that wait for a full sentence to finish, Hy-SimulMT generates translations while listening to the speaker. When integrated with an additional TTS model, it can clone the original speaker’s voice and deliver translations in another language. The official provides a deployment plan based on Qwen3-TTS. In the RealSI long audio test, the model recorded a streaming translation latency of around 3 seconds—the lowest among all tested systems. Its translation quality outperformed all open-source models in the test and 4 out of 5 commercial APIs. Notably, this 3-second latency does not include full speech synthesis and playback time. The team also enlisted 6 certified professional interpreters to conduct on-site tests on 18 real recordings of speeches, interviews and other content. In this small-scale trial, the model’s translation quality reached professional simultaneous interpretation standards, with generally lower latency. The model has approximately 30 billion total parameters, with about 3 billion activated per inference. Weights, inference tools and training resources are all open, and Tencent’s Hy Translator App also offers free access to the model.
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