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AI-Powered Sound Design, Synthesis, and Music Composition: Emerging Tools and Creative Innovation
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Author(s): Samiksha Kailash Sapnar (Vishwakarma Institute of Information Technology, Pune, India), Gitanjali Shinde (Vishwakarma Institute of Information Technology, Pune, India), Grishma Bobhate (Vishwakarma Institute of Information Technology, Pune, India), Sonal Fatangare (Vishwakarma Institute of Information Technology, Pune, India), Rajkumar Patil (Vishwakarma Institute of Technology, Pune, India)and Chaitanya Garware (MIT Art, Design, and Technology University, India)
Copyright: 2026
Pages: 34
Source title:
Artificial Intelligence in Music Production: Innovations, Practices, and Industry Implications
Source Author(s)/Editor(s): Randy Joy Magno Ventayen (Pangasinan State University, Phillippines)
DOI: 10.4018/979-8-3373-6279-3.ch008
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Abstract
The chapter focuses on the changes in the role of artificial intelligence in sound design, synthesis and music creation by tracing the development of technology starting with the earliest forms of algorithmic systems and ending with more modern deep learning. It describes the growth of creative opportunities enabled by neural networks, generative methods, and advanced synthesis tools, alongside helping in mixing, mastering, and audio restoration. The chapter also emphasizes that AI can help to create new timbres, textures, and compositional forms to allow professional and novice creators to experiment with the larger soundscapes. Moral issues such as authorship, copyright, and training data, and artistic authenticity are also critically evaluated to explain the role of developers and creators. The chapter concentrates on the idea that AI can be a collaborative partner and a tool that improves creativity, democratizes production, and affects the way people interact with machines in the sonic arts in the future with the help of practical tools and case studies.
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