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Artificial Intelligence and the Integration of the Industrial Revolution 6.0 in Ethnomusicology: Demands, Interventions and Implications

Year 2024, , 75 - 107, 30.06.2024
https://doi.org/10.33906/musicologist.1286472

Abstract

This paper focuses on the integration of Artificial Intelligence (AI) and Industrial Revolution 6.0 in ethnomusicology, which is the study of music from diverse cultures. The challenges facing researchers in ethnomusicology necessitate the use of AI, which can aid in analyzing, transcribing, and preserving musical traditions. Furthermore, AI can be utilized to generate new musical compositions that integrate elements from various musical traditions. Meanwhile, the Industrial Revolution 6.0 technologies, such as AI, can facilitate the preservation and distribution of musical traditions, cross-cultural understanding, and new forms of music education through virtual reality and immersive experiences. However, the integration of these technologies also raises concerns about cultural exploitation and the authenticity of musical traditions. This study aims to examine the demands, interventions, and implications of AI and Industrial Revolution 6.0 in ethnomusicology, emphasizing the need for a collaborative and culturally sensitive approach that addresses ethical considerations, handles bias and accuracy, and balances AI with traditional methods of music analysis and interpretation. Ultimately, the study suggests that practitioners and researchers must approach the demands of AI and Industrial Revolution 6.0 with caution, consideration, and a spirit of collaboration in order to realize their potential advantages for ethnomusicology while avoiding ethical and cultural pitfalls.

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Year 2024, , 75 - 107, 30.06.2024
https://doi.org/10.33906/musicologist.1286472

Abstract

References

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  • Blackwell, Tim; Bown, Oliver and Young, Michael. (2012). “Live algorithms: Towards autonomous computer improvisers” Computers and creativity, Ed. Jon McCormack, Mark d’Inverno: pp. 147-174. Springer.
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  • Bravo, Carrie Danae S.; Dimalanta, Feliz Danielle R.; Jusay, Kate Ashley P.; Vitug, Martina Ysabel and Tabuena, Almighty C. (2022). “Inclination state on the Philippine culture and arts using the appraisal theory: Factors of progress and deterioration” Participatory Educational Research, 9(1): 388-403.
  • Brusila, Johannes; Cloonan, Martin and Ramstedt, Kim. (2022). “Music, digitalization, and democracy” Popular music and society, 45(1): 1-12.
  • Casey, Michael A.; Veltkamp, Remco; Goto, Masataka; Leman, Marc; Rhodes, Christophe and Slaney, Malcolm. (2008). “Content-based music information retrieval: Current directions and future challenges”. Proceedings of the IEEE, 96(4): 668-696.
  • Buenaflor, Mhelmafa P.; Tabuena, Almighty C.; Morales, Glinore S. and Perez, Mary Leigh Ann C. (2022). “Associated determinants and music genres in a few fitness facilities” Journal of Humanities, Music and Dance, 2(6): 16-24.
  • Cassar, Claudine. (2023). “The Role of Music in Different Cultures: A Look at Ethnomusicology” Anthropology Review. Retrieved from https://anthropologyreview.org/anthropology-glossary-of-terms/ethnomusicology-the-study-of-music-across-cultures/
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  • Cuncic, Arlin. (2022). “What Is Cultural Appropriation?” Verywell Mind. https://www.verywellmind.com/what-is-cultural-appropriation-5070458
  • Dushniy, Аndriy; Salii, Volodymyr; Storonska, Nataliia; Ulych, Hanna and Zaets, Vіtalіy. (2022). “Performing musicology in the socio-cultural space of Ukraine of the XXI century: scientific and creative discourse” Amazonia Investiga, 11(54): 137-145.
  • Dwivedi, Yogesh K.; Hughes, Laurie; Ismagilova, Elvira; Aarts, Gert; Coombs, Crispin; Crick, Tom; Duan, Yanqing; Dwivedi, Rohita; Edwards, John; Eirug, Aled; Galanos, Vassilis; Ilavarasan, Vigneswara P.; Janssen, Marijn; Jones, Paul; Kar, Arpan Kumar; Kizgin, Hatice; Kronemann, Bianca; Lal, Banita; Lucini, Biagio; Medaglia, Rony and Williams, Michael D. (2021). “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy” International Journal of Information Management, 57, 101994. Falk, Catherine; Ingram, Catherine. (2011). “From intangible cultural heritage to collectable artefact: the theory and practice of enacting ethical responsibilities in ethnomusicological research” Transmission of academic values in Asian Studies workshop (2009: Australian National University, Canberra, ACT). The Australia-Netherlands Research Collaboration (ANRC).
  • Furste, Zachary Aaron. (2017). “Finding Media: Recordings from Elsewhere, 1936–1965” PhD Dissertation, Harvard University, Cambridge: USA.
  • Franke, Jonas. (2019). Requirements and Use Cases for Digital Sound Archives in Ethnomusicology. Computational Phonogram Archiving, Ed. Rolf Bader: pp. 229-248. Springer.
  • Gómez-Cañón, Juan Sebastián; Cano, Estefanía; Eerola, Tuomas; Herrera, Perfecto; Hu, Xiao; Yang, Yi-Hsuan; and Gómez, Emilia. (2021). “Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications” IEEE Signal Processing Magazine, 38(6), 106-114.
  • Grant, Catherine. (2018). “Academic flying, climate change, and ethnomusicology: personal reflections on a professional problem” Ethnomusicology Forum (Vol. 27, No. 2, pp. 123-135). Routledge.
  • Gubner, Jennie. (2018). “The music and memory project: understanding music and dementia through applied ethnomusicology and experiential filmmaking” Yearbook for Traditional Music, 50, 15-40.
  • Hacker, Janine; Vom Brocke, Jan; Handali, Joshua; Otto, Markus; and Schneider, Johannes. (2020). “Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis” European Journal of Information Systems, 29(5), 563-584.
  • Harrison, Klisala. (2016). “Why Applied Ethnomusicology?” Applied Ethnomusicology in Institutional Policy and Practice, Ed. Klisala Harrison: pp.1-21. COLLeGIUM: Studies across disciplines in the humanities and social sciences, Finland: University of Helsinki.
  • Hartley, Paul. (2022). Radical Human Centricity: Fulfilling the Promises of Innovation Research. Anthem Press.
  • Hesmondhalgh, David. (2008). “Towards a critical understanding of music, emotion and self‐identity” Consumption, markets and culture, 11(4), 329-343.
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There are 74 citations in total.

Details

Primary Language English
Subjects Music
Journal Section Articles
Authors

Glinore S. Morales 0009-0008-0175-3043

Mary Leigh Ann C. Perez 0009-0008-5074-9235

Almighty C. Tabuena 0000-0002-5875-3617

Publication Date June 30, 2024
Published in Issue Year 2024

Cite

APA Morales, G. S., Perez, M. L. A. C., & Tabuena, A. C. (2024). Artificial Intelligence and the Integration of the Industrial Revolution 6.0 in Ethnomusicology: Demands, Interventions and Implications. Musicologist, 8(1), 75-107. https://doi.org/10.33906/musicologist.1286472