Relationship Between Phonology, Phonetics, and Tajweed: A Literature Review

Mohamed, Yuslina; Hoque, Mesbahul; Ismail, Tuan Haji Sulaiman Bin; Ibrahim, Mohamed Hj; Saad, Nurhasma Muhamad; Zaidi, Nurul Nazariah Mohd

doi:10.2991/assehr.k.210120.153

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Tuturan berhubungan dengan bunyi bahasa serta berkaitan dengan fonetik (Cahyono, 2016). Studi tentang ilmu fonetik banyak ditemukan dalam berbagai disiplin ilmu karena memiliki hubungan dengan suara apa pun yang dihasilkan dari teks ke ucapan atau dari ucapan ke teks (Mohamed et al, 2020).…”

Section: Pendahuluanunclassified

Persepsi Intonasi Tuturan Kaum Bangsawan Melayu Terhadap Emosi (Perception of the Speech Intonation of the Malay Nobility Against Emotions)

Erwina

2021

Indonesian Language Education and Literature

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This study aims to describe the intonation perception of the Malay aristocrats' speech on emotions. This study uses an experimental phonetic study among the nobility in Tanjungpura, Langkat Regency, North Sumatra. This study uses acoustic-phonetic theory and also uses the Praat program. Data analysis used the Average method so that the percentage of Malay nobility's perception of the intonation of emotional speech was obtained. The results of this study get the percentage of data on angry emotional speech, which is 40%. For the percentage of data on the perception of the nobility towards sad emotional speech, namely all respondents.Penelitian ini bertujuan untuk mendeskripsikan persepsi intonasi tuturan kaum bangsawan Melayu terhadap emosi. Penelitian ini menggunakan kajian fonetik eksperimental pada kalangan bangsawan di Tanjungpura, Kabupaten Langkat, Sumatera Utara. Penelitian ini menggunakan teori fonetik akustik serta digunakan juga program Praat. Analisis data menggunakan metode Average sehingga diperoleh persentase persepsi kaum bangsawan Melayu terhadap intonasi tuturan emosi. Hasil dari penelitian ini mendapatkan persentase data terhadap tuturan emosi marah, yaitu sebesar 40%. Untuk persentase data persepsi kaum bangsawan terhadap tuturan emosi sedih yaitu seluruh responden.

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Section: Pendahuluanunclassified

Persepsi Intonasi Tuturan Kaum Bangsawan Melayu Terhadap Emosi (Perception of the Speech Intonation of the Malay Nobility Against Emotions)

Erwina

2021

Indonesian Language Education and Literature

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“…Difficulties in managing the complexity of recitation signals [3], especially in selecting a reasonable DSP method for the smooth implementation of every stage involved, are among the aspects of the study emphasized in this paper. The discovery of the error of Tajweed-based recitation [4] was completed by contrasting the comparability properties of the discourse signal between the learner and the expert recitation signal. Stochastic reading discourse is a very interesting issue for a person to show or evaluate reading errors based on technology.…”

Section: Introductionmentioning

confidence: 99%

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

Shafie¹,

Azizan²,

Adam³

et al. 2022

IJACSA

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The use of technological speech recognition systems with a variety of approaches and techniques has grown exponentially in varieties of human-machine interaction applications. The assessment for Qur'anic recitation errors based on syllables utterance is used to meet the Tajweed rules which generally consist of Harakaat (prolonging). The digital transformation of Quranic voice signals with identification of Tajweed-based recitation errors of Harakaat is the main research work in this paper. The study focused on speech processing implemented using the representation of Quranic Recitation Speech Signals (QRSS) in the best digital format based on Al-Quran syllables and feature extraction design to reveal similarities or differences in recitation (based on Al-Quran syllables) between experts and student. The method of Dynamic Time Warping (DTW) is used as Short Time Frequency Transform (STFT) of QRSS syllable feature for Harakaat measurement. Findings from this paper include an approach based on human-guidance threshold classification that is used specifically to evaluate Harakaat based on the syllables of the Qur'an. The threshold classification performance obtained for Harakaat is above 80% in the training and testing stages. The results of the analysis at the end of the experiment have concluded that the threshold classification method for Minimum Path Cost (MPC) feature parameters can be used as an important feature to evaluate the rules of Tajwid Harakaat embedded in syllables.

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“…The recitation of the Qur"an, which although uses Arabic words, however, is quite different from the recitation of ordinary Arabic texts. This is due to the presence of certain pronunciation rules (Tajweed) which must be followed during the recitation [1]. As a result, it can be agreed that those who are Arabs and practice Arabic are also required to learn pronunciation that conforms to Tajweed rules while reading the Quran.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Momentous Fragmentary Formants in Talaqi-like Neoteric Assessment of Quran Recitation using MFCC Miniature Features of Quranic Syllables

Adam¹,

Shafie²,

Abas³

et al. 2021

IJACSA

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The use of technological speech recognition systems with a variety of approaches and techniques has grown rapidly in a variety of human-machine interaction applications. Further to this, a computerized assessment system to identify errors in reading the Qur'an can be developed to practice the advantages of technology that exist today. Based on Quranic syllable utterances, which contain Tajweed rules that generally consist of Makhraj (articulation process), Sifaat (letter features or pronunciation) and Harakat (pronunciation extension), this paper attempts to present the technological capabilities in realizing Quranic recitation assessment. The transformation of the digital signal of the Quranic voice with the identification of reading errors (based on the Law of Tajweed) is the main focus of this paper. This involves many stages in the process related to the representation of Quranic syllable-based Recitation Speech Signal (QRSS), feature extraction, non-phonetic transcription Quranic Recitation Acoustic Model (QRAM), and threshold classification processes. MFCC-Formants are used in a miniature state that are hybridized with three bands in representing QRSS combined vowels and consonants. A human-guided threshold classification approach is used to assess recitation based on Quranic syllables and threshold classification performance for the low, medium, and high band groups with performances of 87.27%, 86.86%and 86.33%, respectively.

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Relationship Between Phonology, Phonetics, and Tajweed: A Literature Review

Cited by 3 publications

References 9 publications

Persepsi Intonasi Tuturan Kaum Bangsawan Melayu Terhadap Emosi (Perception of the Speech Intonation of the Malay Nobility Against Emotions)

Persepsi Intonasi Tuturan Kaum Bangsawan Melayu Terhadap Emosi (Perception of the Speech Intonation of the Malay Nobility Against Emotions)

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

Analysis of Momentous Fragmentary Formants in Talaqi-like Neoteric Assessment of Quran Recitation using MFCC Miniature Features of Quranic Syllables

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