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Processing of Vocal Music Using Artificial Intelligence: Unveiling Creative Potential and Shaping Listener
1Department of Vocal Music, Institute of Music, Changchun University, Changchun, China.
Perceptual and Motor Skills
|December 23, 2025
Summary
Artificial intelligence (AI) in vocal music enhances creativity and audience engagement, particularly in contemporary genres like EDM and jazz. AI integration offers new possibilities for music education and production while respecting artistic authenticity.
Area of Science:
- Music Technology
- Artificial Intelligence
- Human-Computer Interaction
Background:
- Prior research on AI in music primarily focused on technical accuracy, neglecting perceptual and cultural impacts.
- The growing integration of AI in vocal music necessitates a deeper understanding of its influence on human perception and creativity.
- A significant research gap exists regarding the broader implications of AI on musical experiences and artistic practices.
Purpose of the Study:
- To quantitatively assess the impact of artificial intelligence (AI) on vocal music processing.
- To explore the relationship between AI technical parameters and affective responses in human-AI collaboration.
- To compare the perceptual consequences of different AI system architectures in music.
Main Methods:
- A mixed-methods approach was employed to analyze algorithmic integration in musical traditions.
- Statistical analysis was used to compare genre receptivity and correlate affective responses with listener engagement.
- Quantitative assessment of AI's effect on musicians' creative output and audience engagement metrics.
Main Results:
- Contemporary music genres (EDM, jazz) showed higher receptivity (mean score = 9.0) compared to traditional genres (opera = 5.0, classical = 6.0).
- AI integration boosted musicians' creative output (from M=6.7 to M=8.1) and increased audience engagement by 12%.
- A strong positive correlation (r=0.72) was found between emotional intensity and listener engagement.
Conclusions:
- AI significantly impacts vocal music processing, enhancing creativity and audience engagement, especially in modern genres.
- AI-driven vocal training programs and tailored production technologies can be adopted by educational institutions and studios.
- Algorithmic tools can assist cultural heritage initiatives by preserving interpretive authenticity in vocal music.
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