Nvidia，星期三发布尼莫特龙 3.5 转录(Transtics)，一种免费的开放量级模型，可以将音频转录为最多40种语言。 它还是Granary的发布版本2，它的开源语音数据集。
Nvidia吹嘘说，Nemotron 3.5可以将31种语言译成英文，处理长达一小时的录音，并分辨出最多8位发言者。 它在基准测试上击败对手声称，包括Hugging Face的公开ASR领导板。
这些工具针对的是开发者为商务会议和医疗笔录制作应用软件，这是AI在工作场所最固定的两个立足点。 Nvidia 称开发者可以使用该模型，更新的Granary数据集，以及它的NeMo Speech模型等工具自定义应用，以识别每种语言中的行业术语。 一个缺点：转写工作有录音录音，而不是活流。
尽管如此，公司承诺Trancistics，以300亿参数，可以运行在单一芯片上，从Jetson AGX Thor机器人控制器和DGX Spark芯片为新手提电脑提供动力，到Blackwell数据中心芯片。 它加入 Nvidia的开放量级语音模型，包括超小而强大的Parakeet(11亿参数).
Nvidia的最新语音条目来自AI语音发布的繁忙时期：本月早些时候，Mistral运出Voxtral 3;ElevenLabs 发布实时在语音agents即时语音；Salesforce 发布 Launa-Omni，其语音模型。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
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 live streams.
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 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.
Auto-fetched and translated by AI Atlas. All rights belong to the original author.