Voice AI in vogue: Nvidia releases new open transcription model

TechCrunch AI Models
speech-recognition transcription open-weights voice-ai nvidia datasets multilingual

Summary

Nvidia 发布了免费开源权重语音转写模型 Nemotron 3.5 Transcribe（30B 参数，支持 40 种语言）以及 Granary 开源语音数据集 v2，瞄准会议记录和医疗转写等企业应用场景。该模型声称在 Open ASR 等基准上超越竞争对手，且可在单芯片上运行。

Nvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.
Original Article
View Cached Full Text

Cached at: 10/28/26, 04:26 PM

# Voice AI in vogue: Nvidia releases new open transcription model | TechCrunch Source: [https://techcrunch.com/2026/10/28/voice-ai-in-vogue-nvidia-releases-new-open-transcription-model/](https://techcrunch.com/2026/10/28/voice-ai-in-vogue-nvidia-releases-new-open-transcription-model/) In Brief Posted: 8:00 AM PDT · October 28, 2026 ![AI, mouth, voice AI](https://techcrunch.com/wp-content/uploads/2026/10/AI-on-the-tongue.png?w=1024)**Image Credits:**TechCrunch/AI generatedNvidia on Wednesday released[Nemotron 3\.5 Transcribe](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B), 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](https://huggingface.co/spaces/hf-audio/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](https://techcrunch.com/2026/10/07/microsoft-releases-new-nvidia-chip-ai-pcs-with-revamped-windows-11/), to Blackwell datacenter chips\. It joins Nvidia’s open\-weight voice models, including the super small yet[powerful Parakeet](https://build.nvidia.com/nvidia/parakeet-1_1b-rnnt-multilingual-asr/modelcard)\(1\.1 billion parameters\)\. Nvidia’s latest voice entry comes during a busy period of AI voice releases: Mistral[shipped Voxtral 3](https://x.com/MistralAI/status/2112574615318876178)earlier this month; ElevenLabs launched Realtime for instant speech in voice agents; and Salesforce released[Launa\-Omni,](https://www.salesforce.com/blog/launa-omni/)its voice model\. ### Newsletters Subscribe for the industry’s biggest tech news ## Related ## Latest in AI

Similar Articles

nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B · Hugging Face

Reddit r/LocalLLaMA

NVIDIA released Nemotron 3.5 Transcribe 30B-A4B, an open-weight offline speech and audio transcription model supporting 40 languages with a hybrid MoE architecture that activates ~4.3B parameters and handles recordings up to one hour.

@kwindla: https://x.com/kwindla/status/2062544580105359686

X AI KOLs Timeline

NVIDIA released Nemotron 3.5 ASR, an open-source multilingual speech-to-text model with the lowest latency tested, available in multilingual and English-only variants, ideal for voice agents and self-hosted deployments.

Introducing gpt-transcribe and gpt-live-transcribe

YouTube AI Channels

OpenAI has released GPT-Transcribe and GPT-Live-Transcribe, two transcription models designed for batch processing of full files and real-time streaming, respectively. They support 57 languages, custom vocabulary, and automatic language switching, with improved performance in challenging conditions like accents and background noise.