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Model Details
Introduction
parakeet-tdt-0.6b-v3 is a 600-million-parameter multilingual automatic speech recognition (ASR) model designed for high-throughput speech-to-text transcription. It extends the parakeet-tdt-0.6b-v2 model by expanding language support from English to 25 European languages. The model automatically detects the language of the audio and transcribes it without requiring additional prompting. It is part of a series of models that leverage the Granary [1, 2] multilingual corpus as their primary training dataset.
Training
Training Code Accessibility
cc-by-4.0
https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3Hardware
NVIDIA A100Hardware Quantity
128Size Notes: The model was trained on the combination of Granary dataset's ASR subset and in-house dataset NeMo ASR Set 3.0: 10,000 hours from human-transcribed NeMo ASR Set 3.0, including: LibriSpeech (960 hours) Fisher Corpus National Speech Corpus Part 1 VCTK Europarl-ASR Multilingual LibriSpeech Mozilla Common Voice (v7.0) AMI 660,000 hours of pseudo-labeled data from Granary [1] [2], including: YTC [7] MOSEL [8] YODAS [9]
Parameters
Parameters
600000Notes: 0.6B
Authors
Monica Sekoyan, Nithin Rao Koluguri, Nune Tadevosyan, Piotr Zelasko, Travis Bartley, Nikolay Karpov, Jagadeesh Balam, Boris Ginsburg
Video
Language