Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Audio
Formats:
soundfolder
Languages:
Nepali
Size:
< 1K
License:
document the run_system.py plug-in path
Browse files
README.md
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```bash
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git clone https://github.com/Ampixa/nepaliconformer
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```
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The scorer normalizes both sides identically (digits to spoken Nepali words, punctuation
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stripped) and reports a paired bootstrap when given `--compare`.
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```bash
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git clone https://github.com/Ampixa/nepaliconformer
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cd nepaliconformer/benchmark
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python fetch_audio.py neptel_audio # pulls this dataset, no login
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# then plug your system in — pick the adapter that fits:
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python run_system.py --hf openai/whisper-large-v3 --name whisper --lang ne
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python run_system.py --nemo your_model.nemo --name mine
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python run_system.py --cmd "your-cli -f {audio}" --name mine
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python run_system.py --py yourpkg.module:transcribe --name mine
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```
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Each writes `outputs/<name>.json` and prints the WER; add
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`--compare outputs/nepali-conformer-offline.json` for a paired bootstrap against ours.
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The scorer normalizes both sides identically (digits to spoken Nepali words, punctuation
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stripped) and reports a paired bootstrap when given `--compare`.
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