MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models

research work·research paper·active

Research work examining evaluation benchmark, music/audio understanding.

Verified facts

Official site	https://arxiv.org/abs/2408.01337 ↗
Geography	Global
arxiv	2408.01337
venue	Accepted at ISMIR 2024. Data: https://doi.org/10.5281/zenodo.12709974 Code: https://github.com/mulab-mir/muchomusic Supplementary material: https://mulab-mir.github.io/muchomusic
authors	Benno Weck; Ilaria Manco; Emmanouil Benetos; Elio Quinton; George Fazekas; Dmitry Bogdanov
methods	benchmark evaluation; language modeling
code urls	https://github.com/mulab-mir/muchomusic
demo urls	https://github.com/mulab-mir/muchomusic; https://mulab-mir.github.io/muchomusic
exact title	MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models
project urls	https://doi.org/10.5281/zenodo.12709974; https://mulab-mir.github.io/muchomusic
original title	unknown
citation counts	unknown
research topics	evaluation benchmark; music/audio understanding
peer review status	venue or acceptance claim recorded in arXiv comment
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	2024-08-02
abstract level neutral summary	The work studies evaluation benchmark, music/audio understanding; 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.