World Holy Quran Reciter Recognition based on deep learning

The Holy Qur'an has lately earned respect in the realm of speech-processing studies. It's the fundamental book of Islam, from which Muslims get their religious doctrines. The Qur'an is the most crucial document, source, and authority for all Islamic ideas and regulations. In addition, it is one of the passages learned and repeated most often across the globe. The act of reciting and listening to the Qur'an is considered to be one of the most significant daily actions for Muslims. In this study, we provided a new World Holy Quran Reciter Recognizing (WHORR) dataset focused on chapter 36, which includes 3,150 wave files due to the 83 spoken words. The Holy Quran has 114 chapters, each with a certain number of verses, denoted by the letter A. The voice and audio signal from each receiver was broken up into parts that were five seconds long. Experiments were conducted to get the maximum recognition rate possible since this VGG technique was shown to be the most successful, up to 97.12%. Despite the value of this book, it is preserved and cannot be changed or modified, whether in texts or sounds, now or in the future, because it is preserved in the hearts of men. This contribution is for more future verifications with the development of artificial intelligence systems to prove future miracles that exceed our imagination, no matter how much machines and humans develop.