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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 13 results
    This collection contains the large version (114M) of the streaming speech recognition model trained on NeMo ASRSET for English with look-ahead of 80ms. All models are cache-aware hybrid FastConformer with both Transducer and CTC decoders.
    Model
    This collection contains the large version (114M) of the English speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
    Model
    This collection contains the large version (114M) of the streaming speech recognition model trained on NeMo ASRSET for English with support of multiple look-aheads. All models are cache-aware hybrid FastConformer with both Transducer and CTC decoders.
    Model
    This collection contains the large version (114M) of the Persian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024.
    Model
    This collection contains the large version (114M) of the streaming speech recognition model trained on NeMo ASRSET for English with look-ahead of 80ms. All models are cache-aware hybrid FastConformer with both Transducer and CTC decoders.
    Model
    This collection contains the large version (114M) of the German speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (114M) of the Spanish speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (114M) of the Ukrainian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (114M) of the Polish speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (114M) of the Dutch speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (120M) of the Italian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint Transducer-CTC). The model has a vocab size of 512 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (114M) of the Belarusian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
        Model
        This collections contains the large version (114M) of the Croatian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 256 and emits text with punctuation and capitalization.
        Model

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