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Published in:
2008 | OriginalPaper | Chapter
On Vowels Segmentation and Identification Using Formant Transitions in Continuous Recitation of Quranic Arabic
Authors : Hafiz Rizwan Iqbal, Mian Muhammad Awais, Shahid Masud, Shafay Shamail
Published in: New Challenges in Applied Intelligence Technologies
Publisher: Springer Berlin Heidelberg
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This paper provides an analysis of cues to identify Arabic vowels. A new algorithm for vowel identification has been developed that uses formant frequencies. The algorithm extracts the formants of already segmented recitation audio files and recognizes the vowels on the basis of these extracted formants. The investigation has been done in context of recitation principles of Holy Quran which are commonly known as Tajweed rules. Primary objective of this work is to be able to identify zabar /a/, zair /e/ and pesh /u/ mistakes of the recitor during the recitation. Acoustic Analysis was performed on 150 samples of different recitors and a corpus comprising recitation of five experts was used to validate the results. The vowel identification system developed here has shown up to 90% average accuracy on continuous speech files comprising around 1000 vowels.