ilprl-docse/NwachaMuna-NepConformer-Aug

Nwāchā Munā NepConformer Augmented Finetune

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 Static data augmentation — achieving 17.59% 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-Aug")
transcriptions = model.transcribe(["file.wav"])
print(transcriptions[0])