Marco A. Martínez-Ramírez — accepted AI-conference papers

2026

LLM2Fx-Tools: Tool Calling for Music Post-Production

SeungHeon Doh, Junghyun Koo, Marco A. Martínez-Ramírez, Woosung Choi, Wei-Hsiang Liao, Qiyu Wu +2

ICLR 2026poster

This paper introduces LLM2Fx-Tools, a multimodal tool-calling framework that generates executable sequences of audio effects (Fx-chain) for music post-production. LLM2Fx-Tools uses a large language model (LLM) to understand audio inputs, select audio effects types, determine their order, and estimat…

Cited by 0 Source ↗code ↗Scholar ↗

2024

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models

Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martínez-Ramírez, Wei-Hsiang Liao +2

IJCAI 2024poster

Recent advances in text-to-music generation models have opened new avenues in musical creativity. However, the task of editing these generated music remains a significant challenge. This paper introduces a novel approach to edit music generated by such models, enabling the modification of specific a…

Cited by 25 Source ↗PDF ↗code ↗Scholar ↗