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  ## Hishab BN FastConformer
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  __Hishab BN FastConformer__ is a [fastconformer](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/models.html#fast-conformer) based model trained on ~18K Hours [MegaBNSpeech]() corpus.
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  ## Using method
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  This model can be used for transcribing Bangla audio and also can be used as pre-trained model to fine-tuning on custom datasets using [NeMo](https://github.com/NVIDIA/NeMo) framework.
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  ## Hishab BN FastConformer
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  __Hishab BN FastConformer__ is a [fastconformer](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/models.html#fast-conformer) based model trained on ~18K Hours [MegaBNSpeech]() corpus.
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+ Details on paper: [https://aclanthology.org/2023.banglalp-1.16/](https://aclanthology.org/2023.banglalp-1.16/)
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  ## Using method
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  This model can be used for transcribing Bangla audio and also can be used as pre-trained model to fine-tuning on custom datasets using [NeMo](https://github.com/NVIDIA/NeMo) framework.
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