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MEX: The Musical Expectation Benchmark Suite — arXiv:2611.01843

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.01843
License (as archived): CC0-1.0
Archived: 2026-11-03T10:47:55.891Z
SHA-256 of the archived text: 3bf1acfdfce00fdb4ea50697c317fa468e8afb703f4ef322506651b2369e523b
Stable URL of this page: https://metraipolis.com/documento/dc_7d30fb720ca2

How to cite

MEX: The Musical Expectation Benchmark Suite — arXiv:2611.01843 — arXiv (en), https://arxiv.org/abs/2611.01843 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7d30fb720ca2 (Metraipolis archive dc_7d30fb720ca2, sha256 3bf1acfdfce00fdb4ea50697c317fa468e8afb703f4ef322506651b2369e523b)

BibTeX

@misc{dc7d30fb720ca2,
  title = {MEX: The Musical Expectation Benchmark Suite — arXiv:2611.01843},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.01843},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7d30fb720ca2; sha256 3bf1acfdfce00fdb4ea50697c317fa468e8afb703f4ef322506651b2369e523b},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.01843. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

We propose the Musical Expectation (MEX) benchmark suite for perceptually validating computational models of musical expectation, i.e., models that estimate music information dynamics (MID) measures of perceived musical expectations, such as surprisal or uncertainty from symbolic music or musical audio. MEX collects and extends tasks for evaluating such models previously proposed in music information retrieval and cognitive sciences using standard datasets, and evaluates whether: (1) proposed MID measures decrease with repetition due to in-context learning of the computational model, (2) peaks in such measures align with boundaries of music segments, (3) pitch surprisal and uncertainty estimated from audio are consistent with those modeled in event-based symbolic music, (4) proposed MID measures can predict electrophysiological responses to music. We stress that this benchmark suite does not provide an exhaustive computational characterization of music expectation. Rather, we envision this as an active, interdisciplinary initiative, with benchmarks evolving as our understanding of the underlying perceptual processes deepens. We provide open-access code this https URL to estimate surprisal and uncertainty from audio using baseline models, run the tasks on standard datasets, and include utilities for running the tasks with users' own data.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Sound (cs.SD) ; Artificial Intelligence (cs.AI); Audio and Speech Processing (eess.AS).
Pagina del lavoro: https://arxiv.org/abs/2611.01843 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T10:39:50.515Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).