SLPL
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sadrasabouri commited on
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Update README.md

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@@ -131,14 +131,10 @@ dataset = dataset.map(speech_file_to_array_fn)
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  result = dataset.map(predict, batched=True, batch_size=4)
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  wer = load_metric("wer")
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- cer = load_metric("cer")
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  print("WER: {:.2f}".format(wer.compute(
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  predictions=result["prediction"],
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  references=result["reference"])))
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- print("CER: {:.2f}".format(cer.compute(
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- predictions=result["prediction"],
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- references=result["reference"])))
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  ```
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  *Result (WER) on common-voice 6.1*:
 
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  result = dataset.map(predict, batched=True, batch_size=4)
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  wer = load_metric("wer")
 
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  print("WER: {:.2f}".format(wer.compute(
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  predictions=result["prediction"],
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  references=result["reference"])))
 
 
 
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  ```
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  *Result (WER) on common-voice 6.1*: