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sl-kestrel
NeMo RNNT/TDT ASR checkpoints.
| file | FLEURS n=600 WER / CER (greedy) |
|---|---|
best.nemo |
11.66 / 4.35 (beam5: 11.45 / 4.31) |
alt_checkpoints/ep5.75.nemo |
11.81 / 4.45 |
alt_checkpoints/ep5.00.nemo |
11.90 / 4.46 |
import nemo.collections.asr as nemo_asr
m = nemo_asr.models.ASRModel.restore_from("best.nemo")
print(m.transcribe(["audio.wav"])[0].text)
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