英伟达发布开源语音转写模型 Nemotron 3.5 Transcribe
Voice AI in vogue: Nvidia releases new open transcription model
AI 导读
英伟达周三发布 Nemotron 3.5 Transcribe，这是一个免费的开源权重模型，可转写最多 40 种语言的音频，同时发布开源语音数据集 Granary 的第 2 版。
摘要与补充说明
英伟达称该模型支持 31 种语言与英语互译，可处理最长一小时的录音，并能区分最多 8 位说话人，在 Hugging Face 的 Open ASR Leaderboard 等基准上优于竞品。该模型面向会议和医疗转写类应用开发者，可配合 Granary 数据集和 NeMo Speech 等工具定制行业术语识别。
正文
In Brief
Posted:
8:00 AM PDT · October 28, 2026
Nvidia on Wednesday released Nemotron 3.5 Transcribe, a free, open-weight model that transcribes audio in up to 40 languages. It also released version 2 of Granary, its open source speech dataset.
Nvidia boasts that Nemotron 3.5 can translate 31 languages to and from English, handle recordings up to an hour long, and tell up to eight speakers apart. It claims to beat rivals on benchmarks, including Hugging Face’s Open ASR Leaderboard.
These tools target developers building apps for business meetings and medical transcription, two of AI’s most established footholds in the workplace. Nvidia says developers can use the model, the updated Granary dataset, and tools like its NeMo Speech model to customize apps to recognize an industry’s jargon in each language. One drawback: Transcribe works with recorded audio, not livestreams.
Still, the company promises Transcribe, at 30 billion parameters, can run on a single chip, from the Jetson AGX Thor robotics controller and DGX Spark chip powering new laptops, to Blackwell datacenter chips. It joins Nvidia’s open-weight voice models, including the super small yet powerful Parakeet (1.1 billion parameters).
Nvidia’s latest voice entry comes during a busy period of AI voice releases: Mistral shipped Voxtral 3 earlier this month; ElevenLabs launched Realtime for instant speech in voice agents; and Salesforce released Launa-Omni, its voice model.