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@@ -21,7 +21,7 @@ Creator & Uploader: Jooyoung Lee ([email protected])
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on a phonetically balanced native Korean read-speech corpus.
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- ## Training and Evaluation Data
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  Training Data
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  - Data Name: Phonetically Balanced Native Korean Read-speech Corpus
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  - Num. of Samples: 6,000
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  - Audio Length: 12 Hours
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- ## Training Hyperparameters
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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  - num_epochs: 20 (EarlyStopping: patience: 5 epochs max)
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  - mixed_precision_training: Native AMP
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- ## Evaluation Result
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  Phone Error Rate 3.88%
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- ## Output Examples
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  ![output_examples](./output_examples.png)
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- ## MFA-IPA Phoneset Tables
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- # Vowels
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  ![mfa_ipa_chart_vowels](./mfa_ipa_chart_vowels.png)
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- # Consonants
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  ![mfa_ipa_chart_consonants](./mfa_ipa_chart_consonants.png)
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- ## Framework versions
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  - Transformers 4.21.3
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  - Pytorch 1.12.1
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on a phonetically balanced native Korean read-speech corpus.
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+ # Training and Evaluation Data
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  Training Data
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  - Data Name: Phonetically Balanced Native Korean Read-speech Corpus
 
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  - Num. of Samples: 6,000
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  - Audio Length: 12 Hours
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+ # Training Hyperparameters
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
 
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  - num_epochs: 20 (EarlyStopping: patience: 5 epochs max)
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  - mixed_precision_training: Native AMP
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+ # Evaluation Result
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  Phone Error Rate 3.88%
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+ # Output Examples
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  ![output_examples](./output_examples.png)
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+ # MFA-IPA Phoneset Tables
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+ ## Vowels
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  ![mfa_ipa_chart_vowels](./mfa_ipa_chart_vowels.png)
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+ ## Consonants
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  ![mfa_ipa_chart_consonants](./mfa_ipa_chart_consonants.png)
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+ # Framework versions
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  - Transformers 4.21.3
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  - Pytorch 1.12.1