Abstract:This work is an effort towards building Neural Speech Recognizers system for Quranic recitations that can be effectively used by anyone regardless of their gender and age. Despite having a lot of recitations available online, most of them are recorded by professional male adult reciters, which means that an ASR system trained on such datasets would not work for female/ child reciters. We address this gap by adopting a benchmark dataset of audio records of Quranic recitations that consists of recitations by bot… Show more
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