i-manager Publications

Algorithmic Harmonies the Sounds of AI Composition (MUZIKOGEN)

Malumbo L Sichinga*

Department of Computer Science, DMI St. John the Baptist University, Lilongwe, Malawi.

Periodicity:January - March'2025
DOI : https://doi.org/10.26634/jse.19.3.21320

Abstract

Algorithmic Harmonies introduces MUZIKOGEN, a cutting-edge AI-powered platform aimed at revolutionizing the way music is created and experienced. The system provides users with secure login and personalized experience, allowing access to a wide range of music genres, including pop, rock, Jazz, classical, hip-hop, and electronic. By harnessing advanced AI algorithms, MUZIKOGEN enables users to generate custom beats, lyrics, and vocals tailored to their chosen genre, catering to both novice and experienced musicians. The platform features an AI-driven Helper Bot that offers real- time assistance, enhancing the user experience with technical support, creative guidance, and feedback. Additionally, MUZIKOGEN serves as an educational tool by providing music tips to refine users' skills, fostering creativity and learning. By integrating secure authentication, AI-generated music, and interactive assistance, Algorithmic Harmonies aims to transform music production, making it accessible, enjoyable, and efficient for all.

Keywords

Algorithmic Harmonies, AI Platform, Music, AI Composition.

How to Cite this Article?

Sichinga, M. L. (2025). Algorithmic Harmonies the Sounds of AI Composition (MUZIKOGEN). i-manager’s Journal on Software Engineering, 19(3), 1-9. https://doi.org/10.26634/jse.19.3.21320

References

[1]. Briot, J. P., Hadjeres, G., & Pachet, F. D. (2017). Deep learning techniques for music generation–A survey. arXiv preprint arXiv:1709.01620.

[2]. Campos, C. M., Ramos, M. R., & de Oliveira, R. A. (2020). A mobile application to support elderly memory: Design and usability evaluation. Procedia Computer Science, 177, 435–442.

[3]. Caramiaux, B., Schnell, N., & Bevilacqua, F. (2020). Adaptive and interactive machine learning for embodied musical interaction. ACM Transactions on Computer- Human Interaction, 27(2), 1–32.

[4]. Choi, K., Fazekas, G., & Sandler, M. (2021). The challenges of user-centric music generation: Towards evaluation frameworks. Journal of New Music Research, 50(1), 47–58.

[5]. Dhariwal, P., Jun, H., Payne, C., Kim, J. W., Radford, A., & Sutskever, I. (2020). Jukebox: A Generative Model for Music. OpenAI.

[6]. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Schafer, B. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707.

[7]. Huang, C. Z. A., Vaswani, A., Uszkoreit, J., Shazeer, N., Simon, I., Hawthorne, C., & Eck, D. (2023). Music transformer: Generating music with long-term structure. arXiv preprint arXiv:1809.04281.

[8]. Jennings, P., & Young, R. (2019). Human-AI creative partnerships: Enhancing artistic workflows. AI & Society, 34(2), 321-336.

[9]. Lubart, T. (2017). Creativity and AI: A human-centered perspective. Creativity Research Journal, 29(3), 313–315.

[10]. Papadopoulos, G., & Wiggins, G. (1999). AI methods for algorithmic composition: A survey, a critical view and future prospects. Proceedings of the AISB Symposium on Musical Creativity (pp. 110–117).

[11]. Payne, C. (2019). MuseNet. OpenAI.

[12]. Pyae, A., & Scialdone, M. (2022). Designing voice- based intelligent systems for older adults: Insights from ausability study. International Journal of Human–Computer Interaction, 38(3), 217–229.

[13]. Roberts, A., Engel, J., Raffel, C., Hawthorne, C., & Eck, D. (2018, July). A hierarchical latent vector model for learning long-term structure in music. In International Conference on Machine Learning (pp. 4364-4373). PMLR.

[14]. UNESCO. (2022). Sustainable Development Goals.

[15]. Yang, L. C., Chou, S. Y., & Yang, Y. H. (2020). Generating lead sheets with symbolic melody, chord, and lyrics using deep learning. IEEE Transactions on Affective Computing, 11(4), 630–643.

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Algorithmic Harmonies the Sounds of AI Composition (MUZIKOGEN)

Abstract

Keywords

How to Cite this Article?

References

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