King Saud University Arabic Speech Database

Mansour Alsulaiman, Ghulam Muhammad, Bencherif Mohamed Abdelkader, Awais Mahmood, Zulfiqar Ali, King Saud University Arabic Speech Database LDC2014S02. Web Download. Philadelphia: Linguistic Data Consortium, 2014. ISBN 1-58563-669-X

Published in: https://catalog.ldc.upenn.edu/LDC2014S02

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L2AraSpeech

The L2AraSpeech dataset is a novel speech corpus specifically designed to advance Computer-Aided Pronunciation Training (CAPT) for Arabic as a Second Language. Developed to address the scarcity of non-native Arabic speech databases, this corpus comprises audio recordings from 220 non-native speakers from diverse national and linguistic backgrounds. Among the 220 speakers, 60 speakers covering almost all L1 languages were selected for pronunciation error annotation. The text of the recorded speech consists of 25 sentences and 61 minimal pairs, chosen by expert linguists with many years of experience in teaching Arabic to non-Arabs. The dataset is organized into three main components: Raw_Data, Processed_Data, and Annotated_Data, reflecting different stages of data preparation and expert annotation.

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