Vol 8, No 1 (2025)

Table of Contents

Open Access
Original Research Article
Article ID: 11516
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by Hong Lin, Xuan Liu, Chaomurilige Chaomurilige, Kunyu Yang, Zheng He, Chang Xu, Zheng Liu
Comput. Soft. Media. Appl. 2025, 8(1);   
Abstract

Artificial intelligence-empowered music processing is a domain that involves the use of artificial intelligence technologies to enhance music analysis, understanding, and generation. This field encompasses a variety of tasks from music generation to music comprehension. In practical applications, the complexity of interwoven tasks, differences in data representation, scattered distribution of tool resources, and the threshold of professional music knowledge often become barriers that hinder developers from smoothly carrying out generative tasks. Therefore, it is essential to establish a system that can automatically analyze their needs and invoke appropriate tools to simplify the music processing workflow. Inspired by the recent success of Large Language Models (LLMs) in task automation, we have developed a system named LongMergent, which integrates numerous music-related tools and autonomous workflows to address user requirements. By granting users the freedom to effortlessly combine tools, this system provides a seamless and rich musical experience.

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