Zixun Guo — accepted AI-conference papers

2024

Mustango: Toward Controllable Text-to-Music Generation

Jan Melechovsky, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria

NAACL 2024long

The quality of the text-to-music models has reached new heights due to recent advancements in diffusion models. The controllability of various musical aspects, however, has barely been explored. In this paper, we propose Mustango: a music-domain-knowledge-inspired text-to-music system based on diffu…

Cited by 69 Source ↗PDF ↗code ↗Scholar ↗

2023

A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling

Zixun Guo, Jaeyong Kang, Dorien Herremans

AAAI 2023technical

Following the success of the transformer architecture in the natural language domain, transformer-like architectures have been widely applied to the domain of symbolic music recently. Symbolic music and text, however, are two different modalities. Symbolic music contains multiple attributes, both ab…

Cited by 27 Source ↗PDF ↗code ↗Scholar ↗