Datasets:

IbrahimSalah
/

The_Arabic_News_speech_Corpus_Dataset

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Automatic Speech Recognition

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IbrahimSalah commited on Sep 28, 2024

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@@ -15,7 +15,7 @@ This dataset is an Arabic speech corpus that supports the development of syllabl
 This corpus contains 15 hours of WAV audio recordings transcribed into diacritized Modern Standard Arabic syllables. Initially developed from a 5.7-hour dataset by King Abdulaziz City of Science and Technology (KACST) in 2008, it was later expanded through various grants. The recordings have been processed into syllables using automated software that applies Arabic pronunciation rules. The dataset has a minor error rate (~3%) due to syllabification inaccuracies.
-- **Curated by:** Ibrahim Abdalaal, Mohamed Abdelwahed, Moustafa Elshafei
 - **Language(s):** Modern Standard Arabic (MSA)
 - **License:** CC-BY-NC 4.0

 This corpus contains 15 hours of WAV audio recordings transcribed into diacritized Modern Standard Arabic syllables. Initially developed from a 5.7-hour dataset by King Abdulaziz City of Science and Technology (KACST) in 2008, it was later expanded through various grants. The recordings have been processed into syllables using automated software that applies Arabic pronunciation rules. The dataset has a minor error rate (~3%) due to syllabification inaccuracies.
+- **Curated by:** Moustafa Elshafei
 - **Language(s):** Modern Standard Arabic (MSA)
 - **License:** CC-BY-NC 4.0