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stt_en_conformer_ctc_large

Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
Conformer
Transformer
NeMo
hf-asr-leaderboard
Riva
Eval Results
Model card Files Community
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  | [![Language](https://img.shields.io/badge/Language-en--US-lightgrey#model-badge)](#datasets)
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  | [![Riva Compatible](https://img.shields.io/badge/NVIDIA%20Riva-compatible-brightgreen#model-badge)](#deployment-with-nvidia-riva) |
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  This model transcribes speech in lowercase English alphabet including spaces and apostrophes, and is trained on several thousand hours of English speech data.
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  It is a non-autoregressive "large" variant of Conformer, with around 120 million parameters.
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  See the [model architecture](#model-architecture) section and [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#conformer-ctc) for complete architecture details.
 
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  | [![Language](https://img.shields.io/badge/Language-en--US-lightgrey#model-badge)](#datasets)
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  | [![Riva Compatible](https://img.shields.io/badge/NVIDIA%20Riva-compatible-brightgreen#model-badge)](#deployment-with-nvidia-riva) |
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  This model transcribes speech in lowercase English alphabet including spaces and apostrophes, and is trained on several thousand hours of English speech data.
163
  It is a non-autoregressive "large" variant of Conformer, with around 120 million parameters.
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  See the [model architecture](#model-architecture) section and [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#conformer-ctc) for complete architecture details.