AI MUSIC FOR HUMANOID SONGS AND IT'S QUALITY

Abstract

Title: AI Music for Humanoid Songs Objective:The study aims to investigate the potential of artificial intelligence in generating, composing, and performing music tailored for humanoids—robots, virtual avatars, and AI-assisted performers. The objective is to design adaptive music systems that integrate machine learning, natural language processing, and sound synthesis to create songs that are not only technically precise but also emotionally resonant. Subjective:This research explores the cultural, emotional, and perceptual dimensions of AI-generated humanoid music. It examines how audiences interpret the authenticity, creativity, and emotional depth of songs performed by humanoids, and how such experiences reshape the relationship between humans, technology, and art. Scope:The scope includes: AI-based music composition and lyric generation. Real-time performance by humanoid robots and digital avatars. Cross-cultural and multilingual song adaptation. Applications in entertainment, therapy, education, and human-robot interaction. Comparative analysis of AI-generated versus human-generated music in terms of creativity, acceptance, and innovation. Expected Outcome:The study is expected to demonstrate that AI can serve as a powerful creative partner, enabling humanoids to express music in ways that enhance human engagement, broaden cultural accessibility, and redefine artistic collaboration. Outcomes will include new frameworks for AI-driven music production, insights into emotional perception of AI songs, and practical models for integrating humanoid music into future society.