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
- Xet hash:
- 76f7d7783b382f6a01d9bd246fa7fdfc369e8b9a9d0d5b8f7e727eb0c386579d
- Size of remote file:
- 470 MB
- SHA256:
- 1025cc8d8fdde833daa3c2925acce259275f84a81bc676c2dac41a3ab9be957a
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