Joint spectro-temporal and perceptual feature learning using a dual-track attention network for music genre classification.
- DOI
- 10.3389/frai.2026.1824319
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1824319,
title = {Joint spectro-temporal and perceptual feature learning using a dual-track attention network for music genre classification.},
author = {Hari VA and Jenish SA and Karthik R and Ananya M},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1824319},
url = {https://doi.org/10.3389/frai.2026.1824319}
}RIS
TY - JOUR TI - Joint spectro-temporal and perceptual feature learning using a dual-track attention network for music genre classification. AU - Hari VA AU - Jenish SA AU - Karthik R AU - Ananya M PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1824319 UR - https://doi.org/10.3389/frai.2026.1824319 ER -
APA
VA, H., SA, J., R, K., & M, A. (2026). Joint spectro-temporal and perceptual feature learning using a dual-track attention network for music genre classification.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1824319
Source records
- pubmed · retrieved 2026-09-25T22:18:11.545Z