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@@ -13,8 +13,8 @@ tags:
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  - Bangla fastconformer
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  - https://arxiv.org/abs/2311.03196
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  ---
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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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@@ -34,7 +34,7 @@ pip install -q 'nemo_toolkit[asr]'
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  # pip install -q 'nemo_toolkit[asr]'
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  import nemo.collections.asr as nemo_asr
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- asr_model = nemo_asr.models.ASRModel.from_pretrained("hishab/hishab_bn_fastconformer")
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  auido_file = "test_bn_fastconformer.wav"
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  transcriptions = asr_model.transcribe([auido_file])
 
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  - Bangla fastconformer
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  - https://arxiv.org/abs/2311.03196
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  ---
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+ ## Summary
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+ __titu_stt_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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  # pip install -q 'nemo_toolkit[asr]'
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  import nemo.collections.asr as nemo_asr
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+ asr_model = nemo_asr.models.ASRModel.from_pretrained("hishab/titu_stt_bn_fastconformer")
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  auido_file = "test_bn_fastconformer.wav"
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  transcriptions = asr_model.transcribe([auido_file])