RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION

Learning to read and correct short Quranic surahs by using web application facilities is very necessary for facilitating and understanding the reading of the Qur'an. Checking the correctness of the recitation of short Quranic surahs can be done by the speech recognition process by translatin...

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Main Author: Fauzi Iskandar, Ahmad
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/71417
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:71417
spelling id-itb.:714172023-02-06T15:29:11ZRECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION Fauzi Iskandar, Ahmad Indonesia Theses speech recognition, model data, website-based application. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/71417 Learning to read and correct short Quranic surahs by using web application facilities is very necessary for facilitating and understanding the reading of the Qur'an. Checking the correctness of the recitation of short Quranic surahs can be done by the speech recognition process by translating voice data into text data. The text data obtained will then be validated for the correctness of the data model built based on the recorded Qori data. Furthermore, the data model will be developed into a reading correction function that produces correction data in the form of numbers for the accuracy of the reading truth and the location of reading errors. The reading accuracy level is obtained by calculating the similarity of the received data with the model data, and the location of the reading error is also obtained by comparing the previously obtained text data with the model data. The location of the reading error will then be displayed in the form of user interface data in this web application to be studied and used as learning material. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Learning to read and correct short Quranic surahs by using web application facilities is very necessary for facilitating and understanding the reading of the Qur'an. Checking the correctness of the recitation of short Quranic surahs can be done by the speech recognition process by translating voice data into text data. The text data obtained will then be validated for the correctness of the data model built based on the recorded Qori data. Furthermore, the data model will be developed into a reading correction function that produces correction data in the form of numbers for the accuracy of the reading truth and the location of reading errors. The reading accuracy level is obtained by calculating the similarity of the received data with the model data, and the location of the reading error is also obtained by comparing the previously obtained text data with the model data. The location of the reading error will then be displayed in the form of user interface data in this web application to be studied and used as learning material.
format Theses
author Fauzi Iskandar, Ahmad
spellingShingle Fauzi Iskandar, Ahmad
RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION
author_facet Fauzi Iskandar, Ahmad
author_sort Fauzi Iskandar, Ahmad
title RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION
title_short RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION
title_full RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION
title_fullStr RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION
title_full_unstemmed RECITATION CORRECTION OF THE HIJAIYAH LETTER IN SHORT QURANIC SURAHS BASED ON SPEECH RECOGNITION
title_sort recitation correction of the hijaiyah letter in short quranic surahs based on speech recognition
url https://digilib.itb.ac.id/gdl/view/71417
_version_ 1822006586265042944