Sound board's Frequency Response Analysis of Classical Guitars

Visualizações: 78

Autores/as

DOI:

https://doi.org/10.33871/23179937.2023.11.2.7762

Palabras clave:

Classical guitars, Fourier transform, Continuous wavelet transform, Signal processing

Resumen

The instrument's sound quality assessment is an arduous task to be performed computationally. This work aims to compare high-quality sound characteristics among instruments. The impulse response of the guitar is recording in the time domain and, by means of the Fourier and Continuous Wavelet Transforms the characteristics among high-quality guitars, in the frequency domain, are shown. To discriminate high quality, through experimentation, the criteria are: 1) tuning of notes, sound projection and definition of notes; 2) sound balance at all frequencies and timbre. Comparison of the frequency response (intensity, density, shape, range) gives a good intuition regarding sound quality of the instruments that shares similar characteristics, according to the criteria defined. Note that, among the high-quality classical guitars, it is not possible to define what is better sound-wise due to the fact that high-quality instruments are hearing-perceptual defined, therefore, depends on the criteria of the musician.

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Milton Ernesto Romero Romero, Universidade Federal de Mato Grosso do Sul

Milton Ernesto Romero Romero holds a postdoctoral position at the Autonomous University of Barcelona, Spain (2011); a Ph.D. in Systemistic Engineering and Computer Science from the University of Rome La Sapienza (1999), Italy; a Master's degree in Electrical Engineering from the Pontifical Catholic University of Rio de Janeiro (1988); a Bachelor's degree in Mechanical Engineering from the National University of Colombia (1982); and a Bachelor's degree in Electronic Engineering from the Pontifical Javeriana University of Colombia (1983). He worked at IBM as a researcher at the scientific center in RJ-Brazil, and at Quadrics in the field of supercomputing in Rome, Italy. Currently, he holds the position of full professor at the Federal University of Mato Grosso do Sul. He has expertise in the areas of Electronic Engineering and Computer Engineering, with an emphasis on Computing Methodology and Techniques, focusing primarily on the following topics: binary and multiple-valued digital circuits, signal processing, Clifford algebras, high-performance computing, parallel computing, and stereoscopic processing.

Rafael Pedrosa Salgado, Universidade Federal de Mato Grosso do Sul\ Universidade do Estado de Santa Catarina

Rafael Pedrosa Salgado is a PhD candidate in Music at UDESC, specializing in creative processes. He earned a Master's degree in Music from UNESP, focusing on musical performance - Chamber Music (2015). He holds a Bachelor's degree in Music - Bachelor of Science from the Faculty of Sciences at FITO (2003), as well as a Bachelor's degree in Music Education from the Faculty of Sciences at FITO (2004). Currently, he serves as a musician-technician at the Federal University of Mato Grosso do Sul.

Evandro Mazina Martins, Universidade Federal de Mato Grosso do Sul

Evandro Mazina Martins received the B.S. degree from the Mackenzie University, Sao Paulo, Brazil, in 1981, and the M.Sc. and Ph.D. degrees from the State University of Campinas, Campinas, Brazil, in 1996 and 1999, respectively. He has been a Professor at the Federal University of Mato Grosso do Sul, Campo Grande, Brazil, since 1989 and Titular Professor since 2015. His research interests include high-speed A/D converter, digital signal processing, multiple-valued logic algebra and quantum computation.

Citas

BRADLEY, Kevin; CHENG, Mu-Huo; STONICK, Virginia L. Automated analysis and computationally efficient synthesis of acoustic guitar strings and body. Proceedings of 1995 Workshop on Applications of Signal Processing to Audio and Acoustics, 1995, pp. 238-241, Doi: https://doi.org/10.1109/ASPAA.1995.482999 DOI: https://doi.org/10.1109/ASPAA.1995.482999

CAHAN, David. Hermann Von Helmholtz Cahan and the Foundations of Nineteenth-Century Science. [S.l.]: University of California Press, 1993. pp. 20.

COBBOLD, Richard S. C., MANBACHI, Amir. Development and application of piezoelectric materials for ultrasound generation and detection. Ultrasound – SAGE Journals, v. 19, n. Issue 4, 2011. pp. 23. DOI: https://doi.org/10.1258/ult.2011.011027

COOLEY, James W.; LEWIS, Peter A. W.; WELSCH, Peter D. Historical notes on the fast Fourier transform. (PDF). IEEE Transactions on Audio and Electroacoustic. 15 (2): 7679. Cite Seer X 10.1.1.467.7209. Doi: https://doi.org/10.1109/tau.1967.1161903 DOI: https://doi.org/10.1109/TAU.1967.1161903

DODGE, Charles.; JERSE, Thomaz.A. Computer music synthesis, composition, and performance. Charmer Books, ed. 2, New York, 1997.

ELBIR, Ahmet; ILHAN, Hamza Osman; SERBES, Gorkem; AYDIN, Nizamettin. Short Time Fourier Transform based music genre classification. Electric Electronics, Computer Science, Biomedical Engineering’s Meeting (EBBT), 2018, pp. 1-4, Doi: https://doi.org/10.1109/EBBT.2018.8391437 DOI: https://doi.org/10.1109/EBBT.2018.8391437

FLETCHER, Harvey.; MUNSON, William A. Loudness, its definition, measurement and calculation. Journal of the Acoustical Society of America 5, 82108, 1933. DOI: https://doi.org/10.1121/1.1915637

HAINES, David W. The essential mechanical properties of wood prepared for musical instruments. CAS Journal, Vol. 4, No. 2 (Series II), p. 2032, 2000. pp. 22.

HURD, David C. Left-brain lutherie. Ukuleles by Kawika, Inc., 2004. pp.22.

HUYNH, Du Q. Frequency estimation of musical signals using STFT and multitapers. Proceedings of 6th International Symposium on Image and Signal Processing and Analysis, 2009, pp. 34-39, Doi: https://doi.org/10.1109/ISPA.2009.5297759, 2009. DOI: https://doi.org/10.1109/ISPA.2009.5297759

JANSSON, Erik V. Function, construction and quality of the guitar. Royal Swedish Academy of Music, n. 38, 1983. pp. 29, 31 and 32.

KULKARNI, Urja; KAUSHIK, Shrishti; LOBO, Lanita; SONKUSARE, Reena Comparative Study of Digital Signal Processing Techniques for Tuning an Acoustic Guitar. 7th International Conference on Smart Structures and Systems (ICSSS), 2020, pp. 1-5, Doi: https://doi.org/10.1109/ICSSS49621.2020.9202368 DOI: https://doi.org/10.1109/ICSSS49621.2020.9202368

LUCAS, Crisron R.; LEON, Franz de. A Finite-Element Simulation-based Prototyping for Classical Guitars using COMSOL Multiphysics. 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2019, pp. 115-120, Doi: https://doi.org/10.1109/ICCSCE47578.2019.9068585, 2019. DOI: https://doi.org/10.1109/ICCSCE47578.2019.9068585

___________________. Effects of changing material properties on vibration modes of guitar body. 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2017, pp. 139-143, Doi: https://doi.org/10.1109/ICCSCE.2017.8284394, 2017. DOI: https://doi.org/10.1109/ICCSCE.2017.8284394

MARKS, Robert J. Introduction to Shannon sampling and interpolation theory. Springer-Verlag, 1991. pp. 20. DOI: https://doi.org/10.1007/978-1-4613-9708-3

MEIER, Eric The Wood Database. 2007. Available Online. Site:<https://www.wood-database.com/>. Date: 11.11.2018. pp. 29.

OPPENHEIMER, Alan V.; SCHAFER, Ronald W. Discrete-Time Signal Processing, Prentice Hall Press, 3rd. ed., USA, 2009.

O’SULLIVAN, Elisabeth A.; WINFREY, William R.; COWAN, Colin F. N. Padé Fourier Methods for Music Transposition. 15th International Conference on Digital Signal Processing, 2007, pp. 543-546, Doi: https://doi.org/10.1109/ICDSP.2007.4288639 DOI: https://doi.org/10.1109/ICDSP.2007.4288639

ROMANILLOS, José L. Antonio De Torres: Guitar Maker-His Life and Work. [S.l.]: Bold Strummer Ltd, December 1, 1997. pp. 17.

SCHMIDT, Erik M.; MIGNECO, Raymond V.; SCOTT, Jeffrey J.; YOUNGMOO, Kim. Modeling musical instrument tones as dynamic textures. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011, pp. 329-332, Doi: https://doi.org/10.1109/ASPAA.2011.6082326. 2011. DOI: https://doi.org/10.1109/ASPAA.2011.6082326

SONJA, Krstic.; DRAGAN, Drinčić; MIRKO, Milošević. Classical guitar with and without resonator: Comparative analysis of dynamic characteristics. 20th Telecommunications Forum (TELFOR), 2012, pp. 1268-1271, Doi: https://doi.org/10.1109/TELFOR.2012.6419447, 2012. DOI: https://doi.org/10.1109/TELFOR.2012.6419447

STANCIU, Mariana D.; VLASE, Sorin; MARIN, Marin. Vibration Analysis of a Guitar considered as a Symmetrical Mechanical System. Symmetry, Vol. 11, N. 6, A.N. 727, ISSN 2073-8994, Doi: https://doi.org/10.3390/sym11060727, 2019. DOI: https://doi.org/10.3390/sym11060727

STEIN, Elias M.; WEISS, Guido. Introduction to Fourier Analysis on Euclidean Spaces (PMS-32). book, Princeton University Press, pp. i-vi. 1971, ISBN 9780691080789. DOI: https://doi.org/10.1515/9781400883899

TEIXEIRA, Paulo Sérgo.; SILVA, Alexandre José da; FEITEIRA, José Flávio. Avaliação e comparação de características de amortecimento de sinais gerados de diferentes violões. Caderno UniFOA, 2014. DOI: https://doi.org/10.47385/cadunifoa.v9i26.254

Descargas

Publicado

2023-09-06

Cómo citar

Romero Romero, M. E. ., Pedrosa Salgado, R., & Mazina Martins, E. (2023). Sound board’s Frequency Response Analysis of Classical Guitars. Revista Vórtex, 11(2), 1–31. https://doi.org/10.33871/23179937.2023.11.2.7762

Número

Vol. 11 Núm. 2 (2023): Revista Vórtex

Sección

Artigos

Licencia

Derechos de autor 2023 Milton Ernesto Romero Romero, Rafael Pedrosa Salgado, Evandro Mazina Martins

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Los autores conservan los derechos de autor y conceden a la revista el derecho de primera publicación, con el trabajo simultáneamente bajo la licencia Creative Commons Attribution Licence que permite compartir el trabajo con reconocimiento de autoría y publicación inicial en esta revista.

Métrica