Instructions to use LocalDoc/speakwrite-azerbaijani with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use LocalDoc/speakwrite-azerbaijani with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("LocalDoc/speakwrite-azerbaijani") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
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# speakwrite-azerbaijani
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Azerbaijani speech recognition for CPU: FastConformer-CTC (18 layers, d512) with a 3-pass loop refiner, product-key acoustic memory
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(700 x 700 sub-keys) and a 6-gram token KenLM. Input is 16 kHz mono; output has case and `. , ? !`, with numbers written as words.
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# speakwrite-azerbaijani
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<img src="speakwrite.svg" alt="Описание" width="300" height="95">
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Azerbaijani speech recognition for CPU: FastConformer-CTC (18 layers, d512) with a 3-pass loop refiner, product-key acoustic memory
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(700 x 700 sub-keys) and a 6-gram token KenLM. Input is 16 kHz mono; output has case and `. , ? !`, with numbers written as words.
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