Interventions and Reflections on Digital Music Technology in Vocal Performance

[1] Prives, L. (2017). Chill music: gruenbaum is changing the way music is played [pipelining: attractive programs for women]. IEEE Women in Engineering Magazine, 11(2), 40-42. Search in Google Scholar

[2] Xu, Y. (2024). Intelligent e-learning system in the development of preschool music education based on digital audio technology. Entertainment Computing, 50. Search in Google Scholar

[3] Riemer, K., & Johnston, R. B. (2019). Disruption as worldview change: a kuhnian analysis of the digital music revolution. Journal of Information Technology.dern recording techniques. computer music journal, 14(4), 984-985. Search in Google Scholar

[4] Starzynski, J., Pizzi, S., & Thomsen, P. (2017). The technology evaluation and selection process for atsc 3.0 next generation audio. IEEE Transactions on Broadcasting, PP(1), 1-9. Search in Google Scholar

[5] Tsai, T. J., Yang, D., Shan, M., Tanprasert, T., & Jenrungrot, T. (2020). Using cell phone pictures of sheet music to retrieve midi passages. IEEE transactions on multimedia(12), 22. Search in Google Scholar

[6] Yadav, N., Singh, A. K., & Pal, S. (2022). Improved self-attentive musical instrument digital interface content-based music recommendation system. Computational intelligence. Search in Google Scholar

[7] Pal, D., & Ghoshal, N. (2017). Secured and imperceptible data transmission through digital audio signal with reduced internal noise. Wireless Personal Communications. Search in Google Scholar

[8] Shah, D., Shah, T., & Jamal, S. S. (2020). Digital audio signals encryption by mobi us transformation and henon map. Multimedia systems(2), 26. Search in Google Scholar

[9] Monroe, D. (2017). Digital hearing advances in audio processing help separate the conversation from background noise. Communications of the ACM, 60(10), 18-20. Search in Google Scholar

[10] Zhang, L. (2018). Intellectual property strategy and the long tail: evidence from the recorded music industry. Management Science. Search in Google Scholar

[11] Jin, C. (2017). Analysis of music teaching mode innovation based on intelligent classroom and multimedia system. Revista De La Facultad De Ingenieria, 32(1), 534-543. Search in Google Scholar

[12] Dickens, A., Greenhalgh, C., & Koleva, B. (2018). Facilitating accessibility in performance: participatory design for digital musical instruments. Journal of the Audio Engineering Society, 66(4), 211-219. Search in Google Scholar

[13] Wang, Y. (2021). Research on handwritten note recognition in digital music classroom based on deep learning. journal of internet technology, 22(6), 1443-+. Search in Google Scholar

[14] Fauchart, E., Bacache-Beauvallet, M., Bourreau, M., & Moreau, Fran§ois. (2022). Do-it-yourself or do-it-together: how digital technologies affect creating alone or with others?. Technovation, 112. Search in Google Scholar

[15] Jiao, Y. (2021). Digital music waveform analysis and retrieval based on feature extraction algorithm. Advances in multimedia(Pt.1), 2021. Search in Google Scholar

[16] Zhang, P., & Sui, X. (2017). Application of digital music technology in music pedagogy. International Journal of Emerging Technologies in Learning, 12(12), 4. Search in Google Scholar

[17] Zhang, Q. (2017). The application of android technology in the design of mobile-end digital music platform. C e Ca, 42(6), 2445-2450. Search in Google Scholar

[18] Lepri, G., & Mcpherson, A. (2021). Embrace the weirdness: negotiating values inscribed into music technology. Computer music journal. Search in Google Scholar

[19] Zhang, J. (2021). Music feature extraction and classification algorithm based on deep learning. Scientific Programming, 2021(2), 1-9. Search in Google Scholar

[20] Calilhanna, A. (2019). Teaching musical meter to school-age students through the ski-hill graph. The Journal of the Acoustical Society of America, 146(4), 3039-3039. Search in Google Scholar

[21] Ruch, G., & Kachian, C. (2019). A tone tutor for training student musicians. The Journal of the Acoustical Society of America, 146(4), 2908-2908. Search in Google Scholar

[22] Wang, R. (2017). J2ee-framework-based development of music assisted teaching management system in universities. Revista de la Facultad de Ingenieria, 32(13), 774-780. Search in Google Scholar