ChatMusician: Understanding and Generating Music Intrinsically with LLM

research work·research paper·active

Research work examining evaluation benchmark, music/audio representation learning.

Recorded facts

Official site	https://arxiv.org/abs/2402.16153 ↗
Geography	Global
arxiv	2402.16153
venue	GitHub: https://shanghaicannon.github.io/ChatMusician/
authors	Ruibin Yuan; Hanfeng Lin; Yi Wang; Zeyue Tian; Shangda Wu; Tianhao Shen; Ge Zhang; Yuhang Wu; Cong Liu; Ziya Zhou; Ziyang Ma; Liumeng Xue; Ziyu Wang; Qin Liu; Tianyu Zheng; Yizhi Li; Yinghao Ma; Yiming Liang; Xiaowei Chi; Ruibo Liu; Zili Wang; Pengfei Li; Jingcheng Wu; Chenghua Lin; Qifeng Liu; Tao Jiang; Wenhao Huang; Wenhu Chen; Emmanouil Benetos; Jie Fu; Gus Xia; Roger Dannenberg; Wei Xue; Shiyin Kang; Yike Guo
methods	benchmark evaluation; language modeling
code urls	unknown
demo urls	https://shanghaicannon.github.io/ChatMusician/
exact title	ChatMusician: Understanding and Generating Music Intrinsically with LLM
project urls	https://shanghaicannon.github.io/ChatMusician/
original title	unknown
citation counts	unknown
research topics	evaluation benchmark; music/audio representation learning; music/audio understanding
peer review status	not established from abstract metadata
disclosed conflicts	unknown
stated contribution	Presents or evaluates the system, method, benchmark, or analysis identified in the paper title.
us market scope basis	Included as a materially relevant public research artifact in the US-facing AI-music ecosystem; direct affiliation varies.
funding acknowledgements	unknown
affiliations at publication	unknown
publication or preprint date	2024-02-25
abstract level neutral summary	The work studies evaluation benchmark, music/audio representation learning; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	unknown
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.