Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
Transducer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results
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@@ -239,7 +239,7 @@ The tokenizers for these models were built using the text transcripts of the tra
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  ### Datasets
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- The model was trained on 65K hours of English speech collected and prepared by NVIDIA NeMo and Suno teams.
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  The training dataset consists of private subset with 40K hours of English speech plus 25K hours from the following public datasets:
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  ### Datasets
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+ The model was trained on 64K hours of English speech collected and prepared by NVIDIA NeMo and Suno teams.
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  The training dataset consists of private subset with 40K hours of English speech plus 25K hours from the following public datasets:
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