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  ## Dataset Description
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- - **Homepage:** https://www.nexdata.ai/datasets/940?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Indian English audio data captured by mobile phones, 1,012 hours in total, recorded by 2,100 Indian native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.
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- For more details, please refer to the link: https://www.nexdata.ai/datasets/940?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/940?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Indian English audio data captured by mobile phones, 1,012 hours in total, recorded by 2,100 Indian native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data set can be used for automatic 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/940?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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