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Shaping the Sound of Tomorrow With the Algorithmic Composer
Abstract
This study presents an in-depth exploration of artificial intelligence (AI) in contemporary music creation, encompassing music representation methods, advanced deep learning architectures, and leading generative systems such as Google Magenta Studio, OpenAI MuseNet, and OpenAI Jukebox. It examines human–AI co-creation frameworks, emotion-aware composition, and the complex ethical, legal, and cultural issues surrounding AI-generated music. Through qualitative evaluations, case studies, and industry analysis, the research identifies key trends including multimodal integration, preservation of endangered musical traditions, and applications of emerging technologies such as IoT, blockchain, and VR/AR. Findings reveal that the most compelling outcomes arise when AI serves as a collaborative partner enhancing human creativity, underscoring the need for regulatory frameworks, cultural inclusivity, and cross-disciplinary collaboration to ensure AI-driven music evolves in alignment with artistic integrity and societal values.
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