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Update 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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  |:----:|:--------:|
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  | path/to/audio_file.wav | "TRANSCRIPTION" |
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  ```python
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- import torch
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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
@@ -129,11 +132,11 @@ print("WER: {:.2f}".format(100 * wer.compute(predictions=result["prediction"], r
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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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- | clean | other |
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- |---|---|
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- | 6.0 | 16.4 |
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  ## Citation
 
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  |:----:|:--------:|
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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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+
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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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+ |:---:|:---:|
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+ | 0.06 | 0.16 |
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  ## Citation