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@@ -30,7 +30,7 @@ This model is Hybrid CTC/Attention model with pre-trained HuBERT encoder.
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  <!-- This section describes the evaluation protocols and provides the results. -->
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- For evaluation, the metrics are CER and WER. before WER evaluation, transcriptions were re-tokenized using [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp)
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  |Micro CER|Macro CER|Survival CER|E-commerce WER|Micro WER|Macro WER|Survival WER|E-commerce WER|
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  |---|---|---|---|---|---|---|---|
 
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  <!-- This section describes the evaluation protocols and provides the results. -->
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+ For evaluation, the metrics are CER and WER. before WER evaluation, transcriptions were re-tokenized using newmm tokenizer in [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp)
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  |Micro CER|Macro CER|Survival CER|E-commerce WER|Micro WER|Macro WER|Survival WER|E-commerce WER|
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  |---|---|---|---|---|---|---|---|