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Fernando, P. D. C., Fernando, B. A. N., Wanaguru, I. U., Perera, M. A. P. A., Buddhika, T., Kodagoda, N. et al. (2021). Thuryalankara: Artificial Intelligence Based Audio Plugin for Sri Lankan Percussion Instruments. In 2021 6th International Conference on Information Technology Research (ICITR) (pp. 1-6). IEEE.
https://doi.org/10.1109/icitr54349.2021.9657391

has been cited by the following article:

• TITLE: Optimization and Future Prospects of Digital Music Creation Processes through Artificial Intelligence Technologies

  AUTHORS: Ning Li, Ning Wang

  KEYWORDS: Artificial Intelligence (AI), Digital Music Creation, Workflow Optimization

  JOURNAL NAME: Art and Design Review, Vol.13 No.4, September 25, 2025

  ABSTRACT: The rapid advancement of artificial intelligence has transformed digital music creation from a traditional human-centered model into a paradigm of human-machine collaboration. Artificial intelligence demonstrates substantial potential in domains such as music generation, arrangement, and audio processing, while simultaneously driving workflow optimization and fostering innovative modes of creativity. This study investigates the application of artificial intelligence across different stages of digital music production, analyzing its implications for creative efficiency, artistic expression, and the future trajectory of music development. By examining artificial intelligence tools in melody generation, rhythm construction, and harmonic design, the paper proposes concrete pathways for optimizing digital music creation processes and provides an outlook on emerging trends in artificial intelligence-driven music composition.