activity
20232026
most citedComputational Copyright: Towards A Royalty Model for Music Generative AI

2 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Decomposer: Learning to Decompile Symbolic Music to Programs

Yewon Kim, Apurva Gandhi, David Chung +2

Musical performance involves executing a set of high-level musical instructions, yet recovering those instructions from the performance is a challenging inverse problem. We present…

cs.CY2026

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music

Luyang Zhang, Xirui Jiang, Junwei Deng +3

Advances in generative AI are rapidly increasing the quality and commercial value of generated music, and this progress depends on large catalogs of creators' recordings. This rais…

cs.SD2025

MIDI-LLM: Improving Text-to-MIDI Music Generation via Adapting Large Language Models

Shih-Lun Wu, Dave Carlton, Ryan Miyakawa +3

We present MIDI-LLM, a recipe that improves multitrack text-to-MIDI generation via adapting Large Language Models (LLMs). MIDI-LLM expands an LLM's text vocabulary to include MIDI…

cs.SD2025

Osu2MIR: Beat Tracking Dataset Derived From Osu! Data

Ziyun Liu, Chris Donahue

In this work, we explore the use of Osu!, a community-based rhythm game, as an alternative source of beat and downbeat annotations. Osu! beatmaps are created and refined by a large…

cs.SD2025

Hookpad Aria: A Copilot for Songwriters

Chris Donahue, Shih-Lun Wu, Yewon Kim +3

We present Hookpad Aria, a generative AI system designed to assist musicians in writing Western pop songs. Our system is seamlessly integrated into Hookpad, a web-based editor desi…

cs.HC2024★ 1 cited

Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations

Yewon Kim, Sung-Ju Lee, Chris Donahue

Songwriting is often driven by multimodal inspirations, such as imagery, narratives, or existing music, yet songwriters remain unsupported by current music AI systems in incorporat…

cs.SD2024

Local deployment of large-scale music AI models on commodity hardware

Xun Zhou, Charlie Ruan, Zihe Zhao +2

We present the MIDInfinite, a web application capable of generating symbolic music using a large-scale generative AI model locally on commodity hardware. Creating this demo involve…

cs.AI2023★ 2 cited

Computational Copyright: Towards A Royalty Model for Music Generative AI

Junwei Deng, Xirui Jiang, Shiyuan Zhang +5

The rapid rise of generative AI has intensified copyright and economic tensions in creative industries, particularly in music. Current approaches addressing this challenge often fo…