Modeling Rhythm in Speech as in Music: Towards a Unified Cognitive Representation

Ruolan Li, Thomas Schatz, Naomi Feldman

Open source

DOI: 10.32470/ccn.2022.1282-0
Published: 2022
Container: 2022 Conference on Cognitive Computational Neuroscience
Publisher: Cognitive Computational Neuroscience
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.32470/ccn.2022.1282-0,
  title = {Modeling Rhythm in Speech as in Music: Towards a Unified Cognitive Representation},
  author = {Ruolan Li and Thomas Schatz and Naomi Feldman},
  year = {2022},
  journal = {2022 Conference on Cognitive Computational Neuroscience},
  doi = {10.32470/ccn.2022.1282-0},
  url = {https://doi.org/10.32470/ccn.2022.1282-0}
}

RIS

TY  - JOUR
TI  - Modeling Rhythm in Speech as in Music: Towards a Unified Cognitive Representation
AU  - Ruolan Li
AU  - Thomas Schatz
AU  - Naomi Feldman
PY  - 2022
JO  - 2022 Conference on Cognitive Computational Neuroscience
DO  - 10.32470/ccn.2022.1282-0
UR  - https://doi.org/10.32470/ccn.2022.1282-0
ER  -

APA

Li, R., Schatz, T., & Feldman, N. (2022). Modeling Rhythm in Speech as in Music: Towards a Unified Cognitive Representation. 2022 Conference on Cognitive Computational Neuroscience. https://doi.org/10.32470/ccn.2022.1282-0

Source records

crossref · retrieved 2026-09-26T02:04:56.066Z