Evaluation of acoustic performance of Guzheng based on dynamic measurement
Abstract
This research assessed the Acoustic performance of Guzheng using dynamic measurement technology. The study conducted spectral analysis, examined the correlation between playing techniques and sound productions, defined major sound quality factors, and proposed solutions for enhancing the instrument. In dynamic measurement, dynamic frequency spectra were obtained, which were different from those of the normal Guzheng and had traditional characteristics of Guzheng acoustics. There were significant relationships between playing techniques and particular acoustic results. There were strong correlations between sound quality parameters; thus, it was possible to optimize them systematically. The findings offered specific recommendations for improving Guzheng production that were detailed to retain traditional qualities. The research set quantitative measures for Acoustics analysis and other quality control in Guzheng manufacturing and playing
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References
[1]Poudel PP. Classification of Music Instruments: An overview. International Research Journal of MMC (IRJMMC). 2021; 2(4): 1–10.
[2]Bucur V. A Review on Acoustics of Wood as a Tool for Quality Assessment. Forests. 2023; 14(8): 1545.
[3]Ackermann D, Brinkmann F, Weinzierl S. A database with directivities of musical instruments. arXiv preprint. 2023. doi: 10.48550/arXiv.2307.0211
[4]Blaszke M, Kostek B. Musical instrument identification using deep learning approach. Sensors. 2022; 22(8): 3033.
[5]Dinulică F, Stanciu MD, Savin A. Correlation between anatomical grading and acoustic–elastic properties of resonant spruce wood used for musical instruments. Forests. 2021; 12(8): 1122.
[6]Chen H, Li Y. Archaeological insights into the evolution of chinese traditional music: the influence of Guzheng playing techniques. Mediterranean Archaeology and Archaeometry. 2023; 23(1): 296–296.
[7]Chen J, Fan C, Zhang Z, et al. A music-driven deep generative adversarial model for Guzheng playing animation. IEEE Transactions on Visualization and Computer Graphics. 2021; 29(2): 1400–1414.
[8]Chen S, Zhong Y, Du R. Automatic composition of Guzheng (Chinese Zither) music using long short-term memory network (LSTM) and reinforcement learning (RL). Scientific reports. 2022; 12(1): 15829.
[9]Li X, Wang J, Xu X, et al. Rethinking audiovisual segmentation with semantic quantization and decomposition. OpenReview. 2023.
[10]Xue H, Sun C, Tang M, et al. Effective acoustic parameters for automatic classification of performed and synthesized Guzheng music. EURASIP Journal on Audio, Speech, and Music Processing. 2023; 50.
[11]Han M. Artificial intelligence-driven tone recognition of Guzheng: A linear prediction approach. Demonstratio Mathematica. 2024; 57(1): 20240009.
[12]Ma Y, Chen Y. Exploring the Model of Contemporary Chinese Ethnic Musical Instrument Improvement Mechanisms: Based on Grounded Theory. SAGE Open. 2024; 14(1): 21582440241235018.
[13]Li Z. Influences of Chinese Cultural Traditions on Piano Music by Chinese Composers: Analytical Study of Representative Piano Works Through 1980, with Pedagogical and Performance Considerations [PhD thesis]. University of Northern Colorado; 2021.
[14]Du C, Wang H. Guzheng Performance Venue and Traditional Music Development in Urban Cultural Space: A Case Study of a City in Shaanxi Province. Przestrzeń Społeczna (Social Space). 2024; 24(1): 566–588.
[15]Wang Y, Liu H, Cui K, et al. m-activity: Accurate and real-time human activity recognition via millimeter wave radar. In: Proceedings of the ICASSP 2021–2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 6–11 June 2021; Toronto, ON, Canada.
[16]Li Z, Zhou J, Zhang J, et al. Patch-level Sounding Object Tracking for Audio-Visual Question Answering. arXiv preprint. 2024. doi: 10.48550/arXiv.2412.10749
[17]Li Z, Wang W, Zhang K, Zhu M. Guest editorial: AI for computational audition—sound and music processing. EURASIP Journal on Audio, Speech, and Music Processing. 2024; 44.
[18]Zain SB. The Physics of Sound and Music, Volume 1: A complete course text (Textbook). IOP Publishing; 2024.
[19]Tsuji K, Müller SC. Physics and Music: Essential Connections and Illuminating Excursions. Springer Nature; 2021.
[20]Giordano N, Chatziioannou V. Status and future of modeling of musical instruments: Introduction to the JASA special issue. The Journal of the Acoustical Society of America. 2021; 150(3): 2294–2301.
[21]Kaselouris E, Bakarezos M, Tatarakis M, et al. A review of finite element studies in string musical instruments. Acoustics. 2022; 4(1): 183–202.
[22]Murray CJ, Whitfield SB. Inharmonicity in plucked guitar strings. American Journal of Physics. 2022; 90(7): 487–493.
[23]French RM, French RM. Physics of Acoustic Guitars. In: Acoustic Guitar Design. Springer; 2022. pp. 197–231.
[24]Bakogiannis K, Polychronopoulos S, Marini D, Kouroupetroglou G. Audio enhancement of physical models of musical instruments using optimal correction factors: The recorder case. Applied Sciences. 2021; 11(14): 6426.
[25]Schneider MS. The Art of Violin in Arab and Chinese Musical Cultures [PhD thesis]. University of Georgia; 2024.
[26]Willemsen S. The emulated ensemble: Real-time simulation of musical instruments using finite-difference time-domain methods. Aalborg Universitetsforlag; 2021.
[27]Kržič U, Svenšek D. Quantifying sound colour of musical instruments–precise harmonic timbre coordinates of like instruments. Acta Acustica. 2024; 8: 8.
[28]Adachi S. Physical Modeling Simulation of a Recorder Using a Model Allowing Overall Jet Deflection. In: Proceedings of the 13th Global Conference on Consumer Electronics (GCCE); 29 October–1 November 2024; Kitakyushu, Japan.
[29]Roda A, De Poli G, Canazza S, et al. 3d virtual reconstruction and sound simulation of old musical instruments. Archeologia e Calcolatori. 2021; 32(1): 359–374.
[30]Tao S. The Representation of Water in Twentieth-Century French and Chinese Piano Music [PhD thesis]. University of Kansas; 2022.
[31]Siedenburg K, Jacobsen S, Reuter C. Spectral envelope position and shape in sustained musical instrument sounds. The Journal of the Acoustical Society of America. 2021; 149(6): 3715–3726.
[32]Doğantan-Dack M. Rethinking the Musical Instrument. Cambridge Scholars Publishing; 2022.
[33]Kusnick J, Lichtenberg S, Wiegreffe D, et al. Visual analysis of diversity and threat status of natural materials for musical instruments. Frontiers in Environmental Science. 2024; 12: 1406376.
[34]Li N, Li D. Acoustic Measurement and Modeling of the Traditional Chinese Instrument Guzheng in Digital Transformation: A Case Study of Spectral and Resonance Analysis of Standard Pitch A440. Open Journal of Acoustics. 2024; 12(2): 17–30.
[35]Kouroupetroglou G, Polychronopoulos S, Bakogiannis K. Augmentation and enrichment of cultural exhibits via digital interactive sound reconstruction of ancient greek musical instruments. Archeologia e Calcolatori. 2021; doi: 10.19282/ac.32.1.2021.23
[36]Zhou Z, Liu Z. Guzheng Fingering Practice Assistant System Based on Gesture Recognition: Supporting Practice by Providing Feedback. In: Design Studies and Intelligence Engineering. IOS Press; 2023. pp. 597–615.
[37]Simionato R, Fascian S, Holm S. Physics-informed differentiable method for piano modeling. Frontiers in Signal Processing. 2024; 3: 1276748.
[38]Zhou Z, Liu Z. Guzheng Fingering Practice Assistant System Based on Gesture Recognition: Supporting Practice by Providing Feedback. In: Design Studies and Intelligence Engineering. IOS Press; 2023. pp. 597–615.
[39]Li J, Ismail MJ, Wang Q. Research and Application of the Three Elements of Music Teaching Sound Based on Bayesian Network. Remittances Review. 2023; 8(1).
[40]Li T. A Preliminary Study on the Effect of Chinese Instrument Guzheng Music on Heart Rate and Mood. In: Proceedings of the 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022); 14–16 October 2022; Chongqing, China.
[41]Li Z, Wang T, Wu T, Li Y. Numerical Simulation on Partially Liquid-Filled Sloshing with Baffle Under Different Density Ratios by the CLSVOF/IB Method. China Ocean Engineering. 2022; 36(6): 922–932.
[42]Jensenius AR. Sound actions: Conceptualizing musical instruments. MIT Press; 2022.
[43]Wang C, Guo A, Pan Y, Shi W. Construction of a digital library of vocal music resources based on second-order data decomposition algorithm. Applied Mathematics and Nonlinear Sciences. 2023; 9(1).
[44]Klanjscek N, David L, Frank M. Evaluation of an e-learning tool for augmented acoustics in music education. Music & Science. 2021; 4.
[45]Wang P, Jiang R, Guo Z, Liu C. Afitness: Fitness Monitoring on Smart Devices via Acoustic Motion Images. ACM Transactions on Sensor Networks. 2024; 20(4): 1–24.



