Dynamic Time Warping Features Extraction Design for Quranic Syllable-based Harakaat Assessment

Shafie, Noraimi; Azizan, Azızul; Adam, Mohamad Zulkefli; Abas, Hafiza; Yusof, Yudariah Mohammad; Ahmad, Nor Azurati

doi:10.14569/ijacsa.2022.0131207

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…In [48], the authors focus on the digital transformation of Quranic voice signals and the identification of Tajweedbased recitation faults in Harakaat as the primary research objective. They wanted to look into how to process speech using Quranic Recitation Speech Signals (QRSS) in the best digital format possible, using Al-Quran syllables and a design for feature extraction.…”

Section: Other Hqsr Studiesmentioning

confidence: 99%

Speech Recognition Models for Holy Quran Recitation Based on Modern Approaches and Tajweed Rules: A Comprehensive Overview

Al-Fadhli,

Al-Harbi,

Cherif

2023

IJACSA

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Speech is considered the most natural way to communicate with people. The purpose of speech recognition technology is to allow machines to recognize and understand human speech, enabling them to take action based on the spoken words. Speech recognition is especially useful in educational fields, as it can provide powerful automatic correction for language learning purposes. In the context of learning the Quran, it is essential for every Muslim to recite it correctly. Traditionally, this involves an expert gari who listens to the student's recitation, identifies any mistakes, and provides appropriate corrections. While effective, this method is time-consuming. To address this challenge, apps that help students fix their recitation of the Holy Quran are becoming increasingly popular. However, these apps require a robust and error-free speech recognition model. While recent advancements in speech recognition have produced highly accurate results for written and spoken Arabic and non-Arabic speech recognition, the field of Holy Quran speech recognition is still in its early stages. Therefore, this paper aims to provide a comprehensive literature review of the existing research in the field of Holy Quran speech recognition. Its goal is to identify the limitations of current works, determine future research directions, and highlight important research in the fields of spoken and written languages.

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Section: Other Hqsr Studiesmentioning

confidence: 99%

Speech Recognition Models for Holy Quran Recitation Based on Modern Approaches and Tajweed Rules: A Comprehensive Overview

Al-Fadhli,

Al-Harbi,

Cherif

2023

IJACSA

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“…Augmented reality techniques have also been utilized to introduce science verses in the Quran, enhancing learning experiences (Maylawati et al, 2021). Furthermore, dynamic time-warping feature extraction has been employed for Quranic syllable-based assessment (Shafie et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Mobile Applications on Quran Education: A Survey of Student Performance and Satisfaction

Hakimi,

Mursal AKRAMI,

Maliha AHRARI

et al. 2024

J. Dig. Learning and Dist. Edu

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Mobile applications have emerged as innovative tools in Quranic education, presenting opportunities to enhance learning experiences and engage students effectively. This study aims to assess the impact of mobile applications on Quranic education through a comprehensive survey-based investigation. The research method involved designing a structured questionnaire to gather data on various dimensions, including application usage patterns, effectiveness ratings, contributions to educational improvement, perceived impacts on students' understanding and retention of Quranic knowledge, enhancement of student performance, and comparisons between traditional and mobile application-based learning methods. The population for this study consisted of students enrolled in online university programs with a focus on Quranic education, with a sample size of 60 respondents contributing valuable insights. Quantitative data analysis encompassed descriptive statistics and inferential methods, enabling a thorough examination of survey responses and relationships between variables. The findings reveal diverse usage patterns of Quranic education applications, with respondents attributing significant value to mobile applications in enhancing Quranic education. Positive perceptions regarding the effectiveness of mobile applications in improving student performance and understanding of Quranic knowledge were prevalent among participants. Additionally, a clear preference for mobile application-based learning emerged over traditional methods. The study underscores the importance of leveraging mobile technology to enrich Quranic education and highlights avenues for future research in this domain. Overall, the research contributes to advancing knowledge on the role of mobile applications in Quranic education and informs pedagogical practices in digital learning environments.

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“…Augmented reality techniques have also been utilized to introduce science verses in the Quran, enhancing learning experiences (Maylawati et al, 2021). Furthermore, dynamic time warping features extraction has been employed for Quranic syllable-based assessment (Shafie et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Mobile Applications on Quran Education: A Survey of Student Performance and Satisfaction.

Akrami,

Arabzada,

Ahrari

et al. 2024

smjc

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In the field of Quranic education, mobile applications have become cutting edge instruments that offer chances to improve instruction and successfully involve learners. With a thorough survey-based analysis, this study seeks to evaluate how mobile applications affect Quranic teaching. The research methodology comprised creating a structured questionnaire to collect information on a range of topics, such as application usage trends, efficacy evaluations, contributions to bettering education, perceived effects on students' comprehension and retention of Quranic knowledge, improvement of student performance, and contrasts between traditional and mobile application-based learning approaches. Students enrolled in online university programs with an emphasis on Quranic education made up the population for this study. A sample size of 60 respondents provided insightful information. Descriptive statistics and inferential techniques were included in quantitative data analysis, which allowed for a detailed investigation of survey responses and the correlations between variables. The results show that respondents place a high value on mobile applications for improving Quranic education, and the usage patterns of these applications vary widely. Participants generally held favorable opinions about the usefulness of mobile applications in raising student achievement and comprehension of Quranic knowledge. Furthermore, it became evident that mobile application-based learning was preferred over conventional techniques. The study identifies opportunities for further research in this area and emphasizes the significance of using mobile technology to enhance Quranic instruction. In general, the study advances our understanding of how mobile applications fit into Quranic education and influences pedagogical strategies used in online learning environments.

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Dynamic Time Warping Features Extraction Design for Quranic Syllable-based Harakaat Assessment

Cited by 5 publications

References 17 publications

Speech Recognition Models for Holy Quran Recitation Based on Modern Approaches and Tajweed Rules: A Comprehensive Overview

Speech Recognition Models for Holy Quran Recitation Based on Modern Approaches and Tajweed Rules: A Comprehensive Overview

The Impact of Mobile Applications on Quran Education: A Survey of Student Performance and Satisfaction

The Impact of Mobile Applications on Quran Education: A Survey of Student Performance and Satisfaction.

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