Title: Automatic melody generation and arrangement assistant system in music production based on transformer architecture
Authors: Kang Qin
Addresses: School of Music, Hefei Normal University, Hefei, 230601, Anhui, China
Abstract: With the advancement of AI in artistic creation, deep learning-based music generation research has become an integration direction of intelligent media and digital art. This paper proposes an automatic melody generation and arrangement auxiliary system for music production, based on the transformer architecture. The self-attention mechanism and style embedding model are constructed, and the system captures the long-term dependence between notes in the process of melody generation, thus realising the dynamic coordination of rhythm and pitch. The research results prove the effectiveness of transformer structure in the task of music sequence generation, and also show the application potential of artificial intelligence in music creation assistance, automatic arrangement and personalised melody generation. The system is applied in the fields of intelligent arrangement, digital music education, film and game music, etc., which provides a feasible path and technical basis for the realisation of man-machine collaborative creation.
Keywords: transformer architecture; music melody; automatically generated; arranging auxiliary system.
DOI: 10.1504/IJART.2026.154953
International Journal of Arts and Technology, 2026 Vol.16 No.7, pp.50 - 73
Received: 12 Nov 2025
Accepted: 05 Mar 2026
Published online: 20 Jul 2026 *


