NVIDIA 开源 Nemotron 3 Diarization 说话人分离模型

据 Hugging Face 员工 Andi Marafioti 测试，模型在 1 秒语音片段下表现良好，可用于语音智能体。测试中还配合 Pollen Robotics 的 Reachy Mini 机器人和 DGX Spark，实现识别新声音、询问并记住对方姓名。

模型发布即支持 Transformers 集成。

Our new Nemotron 3 Diarization model + @pollenrobotics Reachi Mini + DGX Spark Great work Andi @huggingface 🙌 Andi Marafioti @andimarafioti Voice agents still don’t understand who’s speaking to them. That’s a huge gap compared with humans, hidden by all the “phone-call” demos. But that changes today! NVIDIA is open-sourcing Nemotron 3 Diarization: a model that can reliably track speakers in live conversations, under a commercial-friendly license! In my tests, the quality is really good with one-second speech chunks. So we can use it for voice agents! I tested it with Reachy Mini and speech-to-speech running on a DGX Spark. It’s super fun to see the robot notice a new voice, ask for a name, and remember it. The model has day-zero integration with Transformers! Kudos to the NVIDIA team for shipping useful tools for the whole community!

本条情报归属 AITOP「模型」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」「中美大模型技术代差与商业化对照」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：NVIDIA、Nemotron 3 Diarization、Transformers、语音识别，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。

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