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Update README.md
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README.md
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@@ -83,9 +83,12 @@ For the evaluation, you can use the code below. Ensure your dataset to be in fol
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| path/to/audio_file.wav | "TRANSCRIPTION" |
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```python
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import
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import torchaudio
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import librosa
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from datasets import load_dataset,load_metric
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import numpy as np
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print("CER: {:.2f}".format(100 * cer.compute(predictions=result["prediction"], references=result["reference"])))
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```
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*Result (WER)*:
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## Citation
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| path/to/audio_file.wav | "TRANSCRIPTION" |
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also, make sure you have installed `pip install jiwer` prior to running.
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```python
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import tensorflow
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import torchaudio
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import torch
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import librosa
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from datasets import load_dataset,load_metric
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import numpy as np
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print("CER: {:.2f}".format(100 * cer.compute(predictions=result["prediction"], references=result["reference"])))
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```
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*Result (WER) on common-voice 6.1*:
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| cleaned | other |
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| 0.06 | 0.16 |
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## Citation
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