Nvidia releases Nemotron 3.5 Transcribe, an open-source speech model for transcription and translation
In brief
- Nemotron 3.5 Transcribe handles transcription, translation, and speaker recognition through text prompts.
- The model uses only a sixth of the active parameters of its top open-source rival.
- Nvidia releases a dataset of over 800,000 hours of speech and fine-tuning tools.
Nvidia has launched Nemotron 3.5 Transcribe, an open-source speech recognition model that performs transcription, speaker recognition, and translation, controlled via text prompts. The company claims it outperforms several benchmarks while using only a sixth of the active parameters of its top open-source rival. Nvidia is also releasing a dataset of over 800,000 hours of speech and fine-tuning tools.
What it changes for you
- Media & EntertainmentMedia companies can adopt a single tool for transcription, translation, and speaker management, cutting costs and simplifying workflows.
- Public SectorGovernments can automate transcription and translation of meetings or interviews while identifying speakers, enhancing accessibility and archiving.
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