Monitoring the Perceived Quality of Artificial Intelligence Composed Music Through Blind Listener Evaluation
David Livingstone T. Ramos, Randy Joy Magno Ventayen · 2025
Artificial Intelligence (AI) has emerged as a transformative tool in music composition, facilitating the efficient creation of diverse and sophisticated musical pieces. This study investigates audience perceptions of AI-generated music through a blind listening test involving 50 participants who evaluated a musical composition without knowing its origin. Participants assessed the piece based on three criteria: quality, creativity, and emotional resonance. The quantitative results reflected generally favorable responses, with mean scores of 4.8, 4.5, and 4.3, respectively, on a 5-point Likert scale. Qualitative feedback further emphasized the music's technical precision and structural coherence. Remarkably, upon being informed of the composition's AI origin, none of the participants had previously suspected it was machine-generated. While 68% reported that their perception remained unchanged, a minority still expressed a preference for human-composed music. Despite this, 98% of participants expressed heightened appreciation for AI's capabilities in music creation, with only 2% reporting a decrease in their impression. Overall, the findings underscore the potential of AI to produce high-quality, emotionally engaging musical works and its growing acceptance among listeners.