SUNO: A SCHOLARLY AND SCIENTIFIC ANALYSIS OF AI-ENHANCED MUSIC GENERATION PLATFORMS
Authors: Taha Nazir
Keywords: Suno AI, generative music synthesis, diffusion models, AI creativity ethics
Abstract
Suno is a transformative artificial intelligence (AI)-driven music generation platform that enables users to create original songs, including vocals, instrumentation, and lyrics, from simple text prompts, democratizing music production for non-experts. Employing advanced generative models such as transformer-based architectures and diffusion processes, Suno synthesizes full compositions with studio-quality output, supporting diverse genres and emotional nuances. This system is invaluable for content creators, educators, marketers, and aspiring musicians across creative industries, where it accelerates production by up to 80% while fostering accessibility. As of September 2025, Suno powers millions of tracks, though it navigates ongoing ethical debates in AI creativity.
Timeline
Received
Jan 8, 2026
Revised
Jan 12, 2026
4 days later
Accepted
Jan 14, 2026
2 days later
Published
Jan 16, 2026
2 days later