Automatic Speech Recognition
NeMo
PyTorch
4 languages
automatic-speech-translation
speech
audio
Transformer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results
steveheh commited on
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1 Parent(s): 1dec236

Update README.md

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@@ -341,8 +341,8 @@ Another recommended option is to use a json manifest as input, where each line i
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  and then use:
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  ```python
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- predicted_text = canary_model.trancribe(
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- paths2audio_files="<path to input manifest file>",
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  batch_size=16, # batch size to run the inference with
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  )
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  ```
 
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  and then use:
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  ```python
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+ predicted_text = canary_model.transcribe(
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+ "<path to input manifest file>",
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  batch_size=16, # batch size to run the inference with
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  )
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  ```