ilprl-docse/NwachaMuna-NepConformer-SSL

Nwāchā Munā NepConformer Semi-Supervised Learning (SSL) 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 semi-supervised learning approach — achieving 19.83% 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-SSL")
transcriptions = model.transcribe(["file.wav"])
print(transcriptions[0])