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  ## Dataset Description
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- - **Homepage:** https://www.nexdata.ai/datasets/946?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  The data is 824 hours long and was recorded by 1,500 Indian native speakers. The accent is authentic. The recording text is designed by language experts and covers general, interactive, car, home and other categories. The text is manually proofread, and the accuracy is high. Recording devices are mainstream Android phones and iPhones. It can be applied to speech recognition, machine translation, and voiceprint recognition.
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- For more details, please refer to the link: https://www.nexdata.ai/datasets/946?source=Huggingface
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  ### Supported Tasks and Leaderboards
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  ### Licensing Information
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- Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing
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  ### Citation Information
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  ## Dataset Description
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+ - **Homepage:** https://www.nexdata.ai/datasets/speechrecog/946?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  The data is 824 hours long and was recorded by 1,500 Indian native speakers. The accent is authentic. The recording text is designed by language experts and covers general, interactive, car, home and other categories. The text is manually proofread, and the accuracy is high. Recording devices are mainstream Android phones and iPhones. It can be applied to speech recognition, machine translation, and voiceprint recognition.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/946?source=Huggingface
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  ### Supported Tasks and Leaderboards
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  ### Licensing Information
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+ Commerical License
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  ### Citation Information
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