Automatic Speech Recognition
NeMo
PyTorch
NeMo
Yoruba
Igbo
Nigerian_Pidgin
Nigerian_English
Hausa
NaijaVoices
Instructions to use ogunlao/SBPN_multilingual_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use ogunlao/SBPN_multilingual_base with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("ogunlao/SBPN_multilingual_base") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
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SBPN family of models have been trained on datasets with different licenses. As such it cannot be released as a fully open-source model.
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Therefore, license to use this model is covered by the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en). Basically, It's free for research (non-commercial) use. By downloading the public and release version of the model, you accept the terms and conditions of the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) license.
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## References
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[1] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
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SBPN family of models have been trained on datasets with different licenses. As such it cannot be released as a fully open-source model.
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Therefore, license to use this model is covered by the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en). Basically, It's free for research (non-commercial) use. By downloading the public and release version of the model, you accept the terms and conditions of the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) license.
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## Cite
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```json
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@article{ogun2026sometin,
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title={Sometin Beta Pass Notin (SBPN): Improving Multilingual ASR for Nigerian Languages via Knowledge Distillation},
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author={Ogun, Sewade},
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journal={arXiv preprint arXiv:2605.17710},
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year={2026}
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}
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```
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## References
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[1] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
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