This model was trained as part of the paper
Nwāchā Munā: A Devanagari Speech Corpus and Proximal Transfer Benchmark for Nepal Bhasha ASR. It is a
NepConformer fine-tuned on the
Nwāchā Munā corpus with a
decoder-only approach — achieving
18.77% CER. The training scripts can be found at
github.com/ilprl/nwacha-muna.
1import nemo.collections.asr as nemo_asr
2
3model = nemo_asr.models.ASRModel.from_pretrained("ilprl-docse/NwachaMuna-NepConformer-DO")
4transcriptions = model.transcribe(["file.wav"])
5print(transcriptions[0])
