Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
Conformer
Transformer
NeMo
Eval Results (legacy)
Instructions to use corygong/stt_en_conformer_ctc_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use corygong/stt_en_conformer_ctc_small with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("corygong/stt_en_conformer_ctc_small") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Update metadata with huggingface_hub
Browse files
README.md
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@@ -13,7 +13,6 @@ datasets:
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- WSJ-1
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- National-Singapore-Corpus-Part-1
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- National-Singapore-Corpus-Part-6
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thumbnail: null
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tags:
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- automatic-speech-recognition
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- speech
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- pytorch
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model-index:
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- name: stt_en_conformer_ctc_small
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results:
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---
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- WSJ-1
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- National-Singapore-Corpus-Part-1
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- National-Singapore-Corpus-Part-6
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tags:
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- automatic-speech-recognition
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- speech
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- pytorch
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model-index:
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- name: stt_en_conformer_ctc_small
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results:
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- task:
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type: automatic-speech-recognition
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dataset:
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name: Librispeech (clean)
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type: librispeech_asr
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config: other
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split: test
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args:
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language: en
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metrics:
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- type: wer
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value: 8.1
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name: WER
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---
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