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  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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  ---
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- # Dataset Card for Datatang/Korean_Speech_Data
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  ## Dataset Description
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- - **Homepage:** https://bit.ly/3HHq1yq
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Korean audio data with duration of 516 hours, recorded texts include: daily language, various interactive sentences, home commands, on-board commands, etc. Among 1,077 speakers, male and female speakers are 49% and 51%. The duration of each speaker is around half an hour.
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- For more details, please refer to the link: https://bit.ly/3HHq1yq
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  ### Supported Tasks and Leaderboards
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  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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  ---
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+ # Dataset Card for Nexdata/Korean_Speech_Data
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
 
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  ## Dataset Description
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+ - **Homepage:** https://www.nexdata.ai/datasets/1008?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Korean audio data with duration of 516 hours, recorded texts include: daily language, various interactive sentences, home commands, on-board commands, etc. Among 1,077 speakers, male and female speakers are 49% and 51%. The duration of each speaker is around half an hour.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/1008?source=Huggingface
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  ### Supported Tasks and Leaderboards
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