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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/Italian_Speech_Data_Collected_by_Mobile_Phone
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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/3HIxtcM
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Italian languageaudio data captured by mobile phone , with total duration of 347 hours. It is recorded by 800 Italian native speakers, balanced in gender is balanced; the recording environment is quiet; all texts are manually transferred with high accuracy. This data set can be applied on automatic speech recognition, machine translation, and sound pattern recognition.
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- For more details, please refer to the link: https://bit.ly/3HIxtcM
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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/Italian_Speech_Data_Collected_by_Mobile_Phone
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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/247?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Italian languageaudio data captured by mobile phone , with total duration of 347 hours. It is recorded by 800 Italian native speakers, balanced in gender is balanced; the recording environment is quiet; all texts are manually transferred with high accuracy. This data set can be applied on automatic speech recognition, machine translation, and sound pattern recognition.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/247?source=Huggingface
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  ### Supported Tasks and Leaderboards
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