Machine learning surrogate forward models for biomechanical laryngeal control.

Parra JA, Sorolla C, Quinteros NF, Ibarra EJ, Alzamendi GA, Peterson SD, Weerathunge HR, Guenther FH, Zañartu M

DOI: 10.1121/10.0044564
Published: 2026 Aug 1
Container: The Journal of the Acoustical Society of America
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1121/10.0044564,
  title = {Machine learning surrogate forward models for biomechanical laryngeal control.},
  author = {Parra JA and Sorolla C and Quinteros NF and Ibarra EJ and Alzamendi GA and Peterson SD and Weerathunge HR and Guenther FH and Zañartu M},
  year = {2026},
  journal = {The Journal of the Acoustical Society of America},
  doi = {10.1121/10.0044564},
  url = {https://doi.org/10.1121/10.0044564}
}

RIS

TY  - JOUR
TI  - Machine learning surrogate forward models for biomechanical laryngeal control.
AU  - Parra JA
AU  - Sorolla C
AU  - Quinteros NF
AU  - Ibarra EJ
AU  - Alzamendi GA
AU  - Peterson SD
AU  - Weerathunge HR
AU  - Guenther FH
AU  - Zañartu M
PY  - 2026
JO  - The Journal of the Acoustical Society of America
DO  - 10.1121/10.0044564
UR  - https://doi.org/10.1121/10.0044564
ER  -

APA

JA, P., C, S., NF, Q., EJ, I., GA, A., SD, P., HR, W., FH, G., & M, Z. (2026). Machine learning surrogate forward models for biomechanical laryngeal control.. The Journal of the Acoustical Society of America. https://doi.org/10.1121/10.0044564

Source records

pubmed · retrieved 2026-09-26T09:08:57.842Z