Improving automatic forced alignment for phoneme segmentation in Quranic recitation

• Main Authors: Alqadasi, Ammar Mohammed Ali, Khedher, Akram M Z M, Sunar, Mohd Shahrizal, Hj Salam, Md. Sah, Abdulghafor, Rawad, Khaled, Nashwan Abdo
• Format: Article
• Language: English; English
• Published: IEEE 2024
• Subjects: BP134.S3 Quran and Science; BPC Science and Technology in Islam
• Online Access: http://irep.iium.edu.my/111820/2/111820_Improving%20automatic%20forced%20alignment.pdf; http://irep.iium.edu.my/111820/3/111820_Improving%20automatic%20forced%20alignment_Scopus.pdf; http://irep.iium.edu.my/111820/; https://ieeexplore.ieee.org/document/10371319; https://doi.org/10.1109/ACCESS.2023.3345843

Segmentation plays a crucial role in speech processing applications, where high accuracy is essential. The quest for improved accuracy in automatic segmentation, particularly in the context of the Arabic language, has garnered substantial attention. However, the differences between Qur’an recitati...