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README.md
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@@ -24,7 +24,7 @@ model-index:
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language: en
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metrics:
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- type: wer
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value:
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: wer
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value:
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: accuracy
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value:
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name: Test Age Accuracy
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- type: accuracy
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value:
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name: Test Accent Accuracy
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---
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@@ -130,5 +130,5 @@ Try the model in [Google Colab Notebook](https://colab.research.google.com/drive
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|:----------------------:|:----------------------:|:-------------:|:----------:|:-------------:|
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| librispeech-test-clean | 6.73 | 0.9536 | | |
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| librispeech-test-other | 9.13 | 0.9099 | | |
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| CommonVoice test | 24.27 | 0.8680 | 0.6251 | 0.
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language: en
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metrics:
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- type: wer
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value: 6.73
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: wer
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+
value: 9.13
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: accuracy
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value: 62.51
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name: Test Age Accuracy
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- type: accuracy
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value: 64.57
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name: Test Accent Accuracy
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---
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|:----------------------:|:----------------------:|:-------------:|:----------:|:-------------:|
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| librispeech-test-clean | 6.73 | 0.9536 | | |
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| 132 |
| librispeech-test-other | 9.13 | 0.9099 | | |
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| 133 |
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| CommonVoice test | 24.27 | 0.8680 | 0.6251 | 0.6457 |
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| 134 |
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