Nvidia's open Nemotron 3.5 Transcribe combines transcription, translation, and speaker recognition
Nvidia has released Nemotron 3.5 Transcribe, an open speech recognition model that handles transcription, speaker recognition, and translation and takes its instructions as text prompts. It leads several benchmarks and uses only a sixth of the active parameters of its strongest open rival. Nvidia is also shipping a dataset with more than 800,000 hours of speech, along with tools for fine-tuning. The article Nvidia's open Nemotron 3.5 Transcribe combines transcription, translation,
Part of a story that several outlets report: NVIDIA releases multilingual transcription model
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An open speech model has been released that combines transcription, translation, and speaker identification in a single system, supporting up to 40 languages for transcription and 31 languages for translation. The model achieves near-top accuracy on benchmarks while running on a single GPU, making it more efficient than some larger competing systems. A large dataset of speech recordings in multiple languages is being released alongside the model, along with tools that allow developers to adapt the system for specialized fields like medicine, where targeted fine-tuning significantly reduced transcription errors.
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