Acoustic Profiles Based On Quranic Maqamat Audio Features
Audio feature extraction underpins a massive proportion of speech processing, mainly in semantic audio analysis which retrieves sound features information based on intonation, emotion and rhythm. Many researchers have addressed various challenges that most speakers faced when dealing with Arabic...
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Universiti Sains Islam Malaysia |
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USIM Institutional Repository |
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en_US |
topic |
Qurʼan -- Study and teaching Qurʼan -- Recitation |
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Qurʼan -- Study and teaching Qurʼan -- Recitation Farah Hanim bt Seman @ Abd Jabar Acoustic Profiles Based On Quranic Maqamat Audio Features |
description |
Audio feature extraction underpins a massive proportion of speech processing,
mainly in semantic audio analysis which retrieves sound features information
based on intonation, emotion and rhythm. Many researchers have addressed
various challenges that most speakers faced when dealing with Arabic language
especially in the Quran, due to its differences in written and recital technique. The
intonation of words in the Quran will bring different translation or perception to
the objective of the chapter generally or to the exact verse particularly. Among
other methods to extract strong features that characterise the complex nature of
complex and melodious speech signals is cepstral analysis. Nowadays, existing
literature have shown that most of the study on acoustical and rhetorical element of
the Quran is focusing on the textual analysis rather than recitation of the Quran. In
this research an enhanced audio feature extraction has been presented to extract
significant ontological audio features contained in Quranic Maqamat Recitation
audio recording. The proposed system is initiated by extracting the maqamat
features from 242 sets of audio files using existing and enhanced cepstral analysis
based on warping function. Nine sets are extracted from spectral descriptors
algorithm and the other 2 sets are extracted from the audio feature extraction
techniques enhanced with warping function. The framework managed to detect the
mean of spectral envelope and spectral descriptors as significant audio features
which used as entities for attributes tagging and rule matching. The final stage is
performing the semantic analysis based on the proposed ontology with attribute
tagging and rule matching for the insight knowledge base construction. The results
is analysed in semantic audio analysis and their performance based on the
formants frequencies extracted from the spectral properties. This study will initiate
an understanding on the characteristics of the maqamat content and hopefully
contribute to raising initiatives in profiling the acoustical elements of complex
speech analysis for further speech processing analysis. |
format |
Thesis |
author |
Farah Hanim bt Seman @ Abd Jabar |
author_facet |
Farah Hanim bt Seman @ Abd Jabar |
author_sort |
Farah Hanim bt Seman @ Abd Jabar |
title |
Acoustic Profiles Based On Quranic Maqamat Audio Features |
title_short |
Acoustic Profiles Based On Quranic Maqamat Audio Features |
title_full |
Acoustic Profiles Based On Quranic Maqamat Audio Features |
title_fullStr |
Acoustic Profiles Based On Quranic Maqamat Audio Features |
title_full_unstemmed |
Acoustic Profiles Based On Quranic Maqamat Audio Features |
title_sort |
acoustic profiles based on quranic maqamat audio features |
granting_institution |
Universiti Sains Islam Malaysia |
url |
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my-usim-ddms-131742024-05-29T19:55:38Z Acoustic Profiles Based On Quranic Maqamat Audio Features Farah Hanim bt Seman @ Abd Jabar Audio feature extraction underpins a massive proportion of speech processing, mainly in semantic audio analysis which retrieves sound features information based on intonation, emotion and rhythm. Many researchers have addressed various challenges that most speakers faced when dealing with Arabic language especially in the Quran, due to its differences in written and recital technique. The intonation of words in the Quran will bring different translation or perception to the objective of the chapter generally or to the exact verse particularly. Among other methods to extract strong features that characterise the complex nature of complex and melodious speech signals is cepstral analysis. Nowadays, existing literature have shown that most of the study on acoustical and rhetorical element of the Quran is focusing on the textual analysis rather than recitation of the Quran. In this research an enhanced audio feature extraction has been presented to extract significant ontological audio features contained in Quranic Maqamat Recitation audio recording. The proposed system is initiated by extracting the maqamat features from 242 sets of audio files using existing and enhanced cepstral analysis based on warping function. Nine sets are extracted from spectral descriptors algorithm and the other 2 sets are extracted from the audio feature extraction techniques enhanced with warping function. The framework managed to detect the mean of spectral envelope and spectral descriptors as significant audio features which used as entities for attributes tagging and rule matching. The final stage is performing the semantic analysis based on the proposed ontology with attribute tagging and rule matching for the insight knowledge base construction. The results is analysed in semantic audio analysis and their performance based on the formants frequencies extracted from the spectral properties. This study will initiate an understanding on the characteristics of the maqamat content and hopefully contribute to raising initiatives in profiling the acoustical elements of complex speech analysis for further speech processing analysis. Universiti Sains Islam Malaysia 2022-11 Thesis en_US https://oarep.usim.edu.my/handle/123456789/13174 https://oarep.usim.edu.my/bitstreams/3999c289-ce2e-4f5e-b76f-50629c71ee13/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/a945ddf0-f48b-4c71-8637-2d89f13c6788/download 7c19d21a9cad150b4cfd70d6a191cfd2 https://oarep.usim.edu.my/bitstreams/d179b93a-287a-4232-8040-d29c5fc8cfdd/download 0193018e07904246f296e85e9fa8cb21 https://oarep.usim.edu.my/bitstreams/cb5d3a6d-d76d-4947-906e-61a26b705699/download 04699c9c874c6bd995211d97c0a4fc2f https://oarep.usim.edu.my/bitstreams/ef24b494-7701-4066-b653-f120c2919754/download 3b8961f67fef6a3e4903adc6b3e70cb5 https://oarep.usim.edu.my/bitstreams/d723e944-ef8a-40bd-a45d-8bfdc5173100/download 3fddf586a259db875e9df2612a834e17 https://oarep.usim.edu.my/bitstreams/f660caf9-69ef-4b70-b38f-9feecf8257a2/download b3cbf973b4ece40e0f12a3f5426522e4 https://oarep.usim.edu.my/bitstreams/20148f78-9963-4913-ae4d-ff2f0645b2ca/download 8d7ce7d02192ba2de856e294e13c94e6 https://oarep.usim.edu.my/bitstreams/03398cdc-4a05-4b7d-99d7-52437be041a2/download b2d67b2f736aed6efd61e4a940b64e07 https://oarep.usim.edu.my/bitstreams/20c594d9-0ee5-47df-9f6d-44841b6b31c4/download d4b1b653e151500a8c9759c395fb368d https://oarep.usim.edu.my/bitstreams/f2e58199-21b9-4f0c-98fa-cf3ce002d599/download c9138812c6d346adc1786cbe674fa5d1 https://oarep.usim.edu.my/bitstreams/a4e83754-8713-4c79-88b9-8678585471fc/download 147ced38182e12227938cb1423ad8575 https://oarep.usim.edu.my/bitstreams/b62cf071-f664-4169-9fcd-3d1be39e2fe8/download 68b329da9893e34099c7d8ad5cb9c940 https://oarep.usim.edu.my/bitstreams/dc1e7bb1-71ab-4e4d-b635-67e3b74bea87/download af236493dfcfde81bed09ce44859a02b https://oarep.usim.edu.my/bitstreams/c61e057a-ad01-4ba8-b649-03d95b6e6bb8/download 01d6bc920cf352ba0584d6ddd6e4d889 https://oarep.usim.edu.my/bitstreams/2ce8cceb-b2c2-4403-84b3-d03186af58f9/download 0606a127eeaecb6c0d40747f823e4e9f https://oarep.usim.edu.my/bitstreams/d83fc999-71d0-4475-9848-557afe2b6d3e/download 8cd71648bb230802019915b94bc79f27 https://oarep.usim.edu.my/bitstreams/8f85fd25-8f5a-499b-aeb4-50ed3152af2a/download 6a78f31b79b9f3d74adf31620a862932 https://oarep.usim.edu.my/bitstreams/fc7d803b-bd52-42e1-b503-e5ac50464ea9/download d7b2ca1fa58524e9dbad448b7046c8da https://oarep.usim.edu.my/bitstreams/539dd192-0bda-4d56-9d5e-56220488011d/download effec310eeec7cb8cffe26c215a1b189 https://oarep.usim.edu.my/bitstreams/bc2e7912-5224-4e9f-995a-a3cc1853e626/download a5e5082444b394de9e63531a7ca36a03 https://oarep.usim.edu.my/bitstreams/fadbc19f-c615-459c-b583-144f441f2452/download cc220d728475b8cc1ea13b7726a4ad55 https://oarep.usim.edu.my/bitstreams/e29f1cd0-0cc0-4bad-8bf8-f218b15f5a3c/download ce94c7b7c500528189819efc692d19de Qurʼan -- Study and teaching Qurʼan -- Recitation |