Synthesis of Kantil Tone Using The Frequency Modulation Method
DOI:
https://doi.org/10.23887/janapati.v13i3.84874Keywords:
Frequency Modulation, Root Mean Square Error, Kantil, Fast Fourier TransformAbstract
Music is a creative form of expression that utilizes sound arranged in specific patterns to create artistic works that are enjoyable to the listener. However, in music, excessive or continuous exposure to loud sounds can damage the hair cells in the ear, potentially leading to hearing loss or even deafness. One challenge in musical instrument craftsmanship is the variation in sound produced by different kantil artisans. These differences in sound output lead to inconsistencies in the rhythm of the angklung gamelan in Bali. This research addresses the issue by focusing on the process of synthesizing kantil sounds to achieve a more consistent output. The research begins by inputting audio files for each sound bar in format. The recorded audio data undergoes preprocessing using the Fast Fourier Transform (FFT) method, which extracts key features from the dataset, such as the fundamental frequency. Additionally, the Hilbert Transform is applied to obtain the optimal sound each blade, which will later be used in the Frequency Modulation process. Once preprocessing is completed on the dataset for each blade, the fundamental frequency and signal are acquired. To evaluate the accuracy of the synthesis, the Root Mean Square Error (RMSE) is calculated to compare the original signal with the synthesized signal. This step helps determine the degree of difference between the two signals. Ultimately, the result is a synthesized kantil sound that closely resembles the original, helping to standardize sound output among different craftsmen and ensuring consistency in musical performances
References
G. Richard et al., “Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years,” IEEE Signal Process Mag, vol. 40, no. 5, 2023, doi: 10.1109/MSP.2023.3276171.
“RWA BHINNEDA THE AESTETICS OF BALINESE TRADITIONAL MUSIC,” Arts and Design Studies, 2019, doi: 10.7176/ads/74-05.
A. Djamil Husin, I. R. Setyani, S. Pramudito, S. Yani, and A. A. Setiawan, “Analisis dan Sistesis Bunyi Petikan Kalimba Menggunakan Transformasi Fourier,” Komunikasi Fisika Indonesia, vol. 20, no. 03, pp. 259–266, 2023, doi: 10.31258/jkfi.20.3.259-266.
. Wadiyo, S. Haryono, J. Wiyoso, and G. S. Shabrina, “Javanesse Songs in Pentatonic and Diatonic Perspective,” 2020. doi: 10.5220/0009032001410146.
I. G. E. W. Pratama and L. A. A. R. Putri, “Terompong Basic Tone Synthesis with Frequency Modulation Method,” JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), vol. 9, no. 3, 2021, doi: 10.24843/jlk.2021.v09.i03.p14.
I. K. K. Saduadnyana, I. K. G. Suhartana, L. A. A. R. Putri, I. G. N. A. C. Putra, I. K. A. Mogi, and I. B. M. Mahendra, “Implementasi Double Frequency Modulation dan FFT dalam Sintesis Suara Rindik,” JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), vol. 11, no. 1, 2022, doi: 10.24843/jlk.2022.v11.i01.p10.
M. A. Raharja and I. D. M. B. A. Darmawan, “SINTESIS SUARA GAMELAN GERANTANG BALI MENGGUNAKAN METODE DOUBLE FREQUENCY MODULATION (DFM),” Jurnal RESISTOR (Rekayasa Sistem Komputer), vol. 4, no. 2, 2021, doi: 10.31598/jurnalresistor.v4i2.760.
K. A. Sugianta, I. G. A. Gunadi, and G. Indrawan, “Analisis Pola Bunyi Sunari Berdasarkan Metode Fast Fourier Transform,” Jurnal Ilmu Komputer Indonesia (JIK), vol. 5, no. 2, 2020.
A. Natsiou and S. O’Leary, “Audio representations for deep learning in sound synthesis: A review,” in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2021. doi: 10.1109/AICCSA53542.2021.9686838.
H. Sujadi, L. Sopiandi, and A. Mutaqin, “Sistem Pengolahan Suara Menggunakan Algoritma FFT (Fast Fourier Transform),” Prosiding SINTAK 2017, 2017.
M. Henry, “An ultra-precise Fast Fourier Transform,” Measurement: Sensors, vol. 32, Apr. 2024, doi: 10.1016/j.measen.2024.101039.
E. Ozturk, O. Kucar, and G. Atkin, “Waveform encoding of binary signals using a wavelet and its Hilbert transform,” in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2000. doi: 10.1109/ICASSP.2000.861015.
V. C. Mayta, Á. F. Adames Corraliza, and Q. J. Lin, “The Radon and Hilbert transforms and their applications to atmospheric waves,” Atmospheric Science Letters, vol. 25, no. 5, 2024, doi: 10.1002/asl.1215.
V. Lazzarini and J. Timoney, “Theory and practice of higher-order frequency modulation synthesis,” J New Music Res, vol. 52, no. 2–3, 2023, doi: 10.1080/09298215.2024.2312236.
A. Yudhana et al., “Recognizing Human Emotion patterns by applying Fast Fourier Transform based on Brainwave Features,” in Proceedings - 1st International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2019, 2019. doi: 10.1109/ICIMCIS48181.2019.8985227.
K. E. Jack, M. Olubiwe, J. K. C. Obichere, A. I. Onyema, O. C. Nosiri, and J. U. Chijioke, “Optimization scheme for intelligent master controller with collaboratives energy system,” IAES International Journal of Artificial Intelligence, vol. 13, no. 1, pp. 236–246, Mar. 2024, doi: 10.11591/ijai.v13.i1.pp236-246.
C. S. Lee, M. Li, Y. Lou, Q. H. Abbasi, and M. Imran, “An Acoustic System of Sound Acquisition and Image Generation for Frequent and Reliable Lung Function Assessment,” IEEE Sens J, vol. 24, no. 3, 2024, doi: 10.1109/JSEN.2023.3344136.
W. S. Atemba, “Black Box Test Case Prioritization For Regression Testing Using Bayesian Networks,” Dec. 2022. Accessed: Oct. 15, 2024. [Online]. Available: http://erepository.uonbi.ac.ke/handle/11295/164156
A. Maspupah, “Literature Review: Advantages and Disadvantages of Black Box and White Box Testing Methods,” Jurnal Techno Nusa Mandiri, vol. 21, no. 2, pp. 151–162, Sep. 2024, doi: 10.33480/techno.v21i2.5776.
H. Khatimah, Muhsi, and Buhari, “Analisis Pengujian Sistem Informasi Pelanggaran Hukum Di Laut Indonesia Menggunakan Metode Blackbox Testing,” Jurnal Teknoinfo, vol. 18, no. 1, 2024.
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