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wav2vec2-large-japanese

Automatic Speech Recognition

Inference Endpoints

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nhanv commited on Jul 5, 2021

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@@ -127,6 +127,7 @@ print(f"CER: {cer.compute(predictions=predictions, references=references, chunk_
 **Test Result**:
 In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-05-10). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used.
 | Model | WER | CER |
 | ------------- | ------------- | ------------- |
 | jonatasgrosman/wav2vec2-large-xlsr-53-japanese | **81.30%** | **21.9%** |

 **Test Result**:
 In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-05-10). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used.
 | Model | WER | CER |
 | ------------- | ------------- | ------------- |
 | jonatasgrosman/wav2vec2-large-xlsr-53-japanese | **81.30%** | **21.9%** |