Voice Search in the Holy Quran

The holy Quran is sacred book of Muslims. The use of this book is very frequent either for reading, for memorization or for the search of a verse of Quran dealing with a particular subject. Muslims find difficulties in the use of this book in his audio format and especially in the search for a verse. For this, and to help Muslims, we focus our work on the problem of finding a verse in the holy Quran. The search will be in voice mode where the user dictates a verse into microphone. The goal is to receive the verse dictated by user from the microphone and compare it with all verses of holy Quran. It returns then the closest verse to the desired one. This goal requires a great work which will be proposed as a doctoral subject. In this paper we propose to acquire the query by playing a verse of the database and to capture it by microphone. This paper presents a new system that identifies an audio subsequence (requested verse of Holy Quran) using basic audio descriptors. Each audio document of corpus (all verses of Holy Quran) is pre-processed before the extraction of a set of basic audio descriptors, which characterize the temporal and the spectral information. Therefore, an audio signal is represented by a sequence of characteristics called in this paper "audio fingerprint". The search process is based on a new concept called "interference wave". This wave is generated from the content of audio signals, and used to calculate the similarity rate between two audio signals.