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zafarrr/uzbek-stt-fastconformer-v1.2
uzbek-stt-fastconformer-v1.2 is a automatic speech recognition model from zafarrr. Use it when you need speech turned into text. It is set up for nemo. The card lists the license as apache-2.0.
114M parametrli FastConformer Hybrid RNNT-CTC modeli. O'zbek tilida nutqni matnga aylantiradi.
Downloads · 30 days
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9% of all-time downloads
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.nemo459 MB · 100%
From the Hugging Face model README
114M parametrli FastConformer Hybrid RNNT-CTC modeli. O'zbek tilida nutqni matnga aylantiradi.
| Metrika | Qiymat |
|---|---|
| WER | 8.31% |
| Trening ma'lumot | 104 soat |
| Parametrlar | 114M |
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.restore_from("uzbek_stt_v12.nemo")
model.eval()
natija = model.transcribe(["audio.wav"])
print(natija[0])