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@@ -42,5 +42,16 @@ This has resulted in more than 41 GB of clean data with nearly 4-billion Arabic
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  ### Citation Information
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  ```
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- M. Al-Fetyani, M. Al-Barham, G. Abandah, A. Alsharkawi and M. Dawas, "MASC: Massive Arabic Speech Corpus," 2022 IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar, 2023, pp. 1006-1013, doi: 10.1109/SLT54892.2023.10022652.```
 
 
 
 
 
 
 
 
 
 
 
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  ### Citation Information
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+
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  ```
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+ @INPROCEEDINGS{10022652,
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+ author={Al-Fetyani, Mohammad and Al-Barham, Muhammad and Abandah, Gheith and Alsharkawi, Adham and Dawas, Maha},
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+ booktitle={2022 IEEE Spoken Language Technology Workshop (SLT)},
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+ title={MASC: Massive Arabic Speech Corpus},
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+ year={2023},
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+ volume={},
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+ number={},
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+ pages={1006-1013},
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+ doi={10.1109/SLT54892.2023.10022652}}
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+
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+ ```