Abstract:
This study focuses on the development and evaluation of the "ARTISTVERSE" platform, a comprehensive AI-driven web application designed to enhance the songwriting process through four core features: Chord Progression Comparison, Song Recommendation by Mood, Dynamic Lyric Composition, and AI Lyrics Analysis. This study shows the genres' lessons learned and hearing practice from the first two features. Also discusses the unique aspects of the other two features, demonstrating ARTISTVERSE's design to transform songwriting by aligning with genres, mood, and artist styles. The application in the market review, the ARTISTVERSE designs and implementation, together with technical cooperation with ChatGPT, are proposed. Expertise perspectives for the improvement are also stated.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2025
Modified:
2026-06-15
Issued:
2026-06-15
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association, Thailand. 2025 22nd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2025) (pp.730-735). Piscataway, NJ : IEEE