Automatic Speech Recognition
NeMo
speech
audio
fastconformer
mixture-of-experts
multilingual
child-speech
adult-speech
inclusive-ai
Instructions to use TUDelft/inclusive-asr-moe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use TUDelft/inclusive-asr-moe with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("TUDelft/inclusive-asr-moe") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files- .gitattributes +10 -0
- LICENSE +21 -0
- en_adult_fastconformer.nemo +3 -0
- en_adult_moe.nemo +3 -0
- en_child_fastconformer.nemo +3 -0
- en_child_moe_lb_off.nemo +3 -0
- en_child_moe_lb_on.nemo +3 -0
- multilingual_adult_fastconformer.nemo +3 -0
- multilingual_adult_moe.nemo +3 -0
- multilingual_child_fastconformer.nemo +3 -0
- multilingual_child_moe_lb_off.nemo +3 -0
- multilingual_child_moe_lb_on.nemo +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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multilingual_child_fastconformer.nemo filter=lfs diff=lfs merge=lfs -text
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en_adult_fastconformer.nemo filter=lfs diff=lfs merge=lfs -text
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en_child_fastconformer.nemo filter=lfs diff=lfs merge=lfs -text
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multilingual_adult_fastconformer.nemo filter=lfs diff=lfs merge=lfs -text
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en_adult_moe.nemo filter=lfs diff=lfs merge=lfs -text
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en_child_moe_lb_off.nemo filter=lfs diff=lfs merge=lfs -text
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en_child_moe_lb_on.nemo filter=lfs diff=lfs merge=lfs -text
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multilingual_adult_moe.nemo filter=lfs diff=lfs merge=lfs -text
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multilingual_child_moe_lb_off.nemo filter=lfs diff=lfs merge=lfs -text
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multilingual_child_moe_lb_on.nemo filter=lfs diff=lfs merge=lfs -text
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LICENSE
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Creative Commons Attribution 4.0 International
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The model checkpoints in this repository are distributed under the
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Creative Commons Attribution 4.0 International License:
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https://creativecommons.org/licenses/by/4.0/
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These checkpoints are derived from:
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NVIDIA Corporation
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nvidia/stt_en_fastconformer_ctc_large
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https://huggingface.co/nvidia/stt_en_fastconformer_ctc_large
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The original checkpoint is licensed under CC BY 4.0.
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Modifications, fine-tuning, sparse Mixture-of-Experts implementation,
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experiments, and checkpoint preparation were performed by Amelia Sasin
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for the MSc thesis "Mixture-of-Experts Architectures for Inclusive and
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Robust Automatic Speech Recognition", TU Delft, 2026.
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These derivative models are not endorsed by NVIDIA.
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