Description

Focuses on the computational, acoustic, linguistic, experimental, and multimodal analysis of Qur’anic recitation as speech and audio data. The theme covers authenticated Qur’anic audio-corpus construction, crowdsourcing, recording protocols, metadata and labelling, Qira’at-aware dataset design, tajweed and makhraj annotation, phoneme and pronunciation modelling, audio preprocessing, segmentation, signal enhancement, acoustic feature extraction, spectrogram analysis, automatic speech recognition (ASR), reciter and recitation classification, pronunciation-error detection, deep learning, speaker-independent evaluation, explainable audio AI, and multimodal integration with textual, visual, physiological, or other sensor information.