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@@ -21,6 +21,28 @@ model-index:
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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
@@ -57,6 +79,8 @@ The model achieves the following results on evaluation without a language model:
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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:
@@ -64,6 +88,8 @@ 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