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@@ -33,6 +33,9 @@ This model is a fine-tuned version of [openai/whisper-small](https://huggingface
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  ## Training and evaluation data
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  For training,
 
 
 
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  |Name|# of Hours|
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  |--|--|
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  |Common Voice 16.0 zh-HK Train|138|
@@ -42,8 +45,6 @@ For training,
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  |Pseudo-Labelled YouTube Data|438|
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  |Total|756|
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- - CantoMap: Winterstein, Grégoire, Tang, Carmen and Lai, Regine (2020) "CantoMap: a Hong Kong Cantonese MapTask Corpus", in Proceedings of The 12th Language Resources and Evaluation Conference, Marseille: European Language Resources Association, p. 2899-2906.
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- - Cantonse-ASR: Yu, Tiezheng, Frieske, Rita, Xu, Peng, Cahyawijaya, Samuel, Yiu, Cheuk Tung, Lovenia, Holy, Dai, Wenliang, Barezi, Elham, Chen, Qifeng, Ma, Xiaojuan, Shi, Bertram, Fung, Pascale (2022) "Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset", 2022. Link: https://arxiv.org/pdf/2201.02419.pdf
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  For evaluation, Common Voice 16.0 yue Test set is used.
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  ## Training and evaluation data
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  For training,
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+ - CantoMap: Winterstein, Grégoire, Tang, Carmen and Lai, Regine (2020) "CantoMap: a Hong Kong Cantonese MapTask Corpus", in Proceedings of The 12th Language Resources and Evaluation Conference, Marseille: European Language Resources Association, p. 2899-2906.
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+ - Cantonse-ASR: Yu, Tiezheng, Frieske, Rita, Xu, Peng, Cahyawijaya, Samuel, Yiu, Cheuk Tung, Lovenia, Holy, Dai, Wenliang, Barezi, Elham, Chen, Qifeng, Ma, Xiaojuan, Shi, Bertram, Fung, Pascale (2022) "Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset", 2022. Link: https://arxiv.org/pdf/2201.02419.pdf
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  |Name|# of Hours|
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  |--|--|
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  |Common Voice 16.0 zh-HK Train|138|
 
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  |Pseudo-Labelled YouTube Data|438|
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  |Total|756|
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  For evaluation, Common Voice 16.0 yue Test set is used.
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