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README.md
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- name: Test CER
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type: cer
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value: 24.09
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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| Dataset | CER |
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| -------------------------------- | ------ |
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| `Common Voice` | 31.73% |
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| `Robust Speech Event - Dev Data` | 56.60% |
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With the addition of the language model, it achieves the following results:
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| Dataset | CER |
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| -------------------------------- | ------ |
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| `Common Voice` | 24.09% |
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| `Robust Speech Event - Dev Data` | 56.86% |
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## Training procedure
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- name: Test CER
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type: cer
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value: 24.09
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 7
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type: mozilla-foundation/common_voice_7_0
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args: zh-HK
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metrics:
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- name: Test CER
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type: cer
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value: 23.10
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: zh-HK
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metrics:
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- name: Test CER
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type: cer
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value: 23.02
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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| Dataset | CER |
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| -------------------------------- | ------ |
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| `Common Voice` | 31.73% |
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| `Common Voice 7` | 23.11% |
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| `Common Voice 8` | 23.02% |
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| `Robust Speech Event - Dev Data` | 56.60% |
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With the addition of the language model, it achieves the following results:
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| Dataset | CER |
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| -------------------------------- | ------ |
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| `Common Voice` | 24.09% |
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| `Common Voice 7` | 23.10% |
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| `Common Voice 8` | 23.02% |
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| `Robust Speech Event - Dev Data` | 56.86% |
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## Training procedure
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