Automatic Speech Recognition
NeMo
Newari
asr
nepal-bhasha
newari
conformer
low-resource
decoder-only

Nwāchā Munā NepConformer Decoder-Only Approach

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.

Usage

import nemo.collections.asr as nemo_asr

model = nemo_asr.models.ASRModel.from_pretrained("ilprl-docse/NwachaMuna-NepConformer-DO")
transcriptions = model.transcribe(["file.wav"])
print(transcriptions[0])
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Dataset used to train ilprl-docse/NwachaMuna-NepConformer-DO

Collection including ilprl-docse/NwachaMuna-NepConformer-DO

Paper for ilprl-docse/NwachaMuna-NepConformer-DO