Classifying bioacoustic data without individual call annotations using temporal convolutional networks and feature extractors.

Garrobé Fonollosa L, Gillespie D, Stankovic L, Stankovic V, Rendell L

Open source

DOI
10.1121/10.0044583
Published
2026 Aug 1
Container
The Journal of the Acoustical Society of America
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1121/10.0044583,
  title = {Classifying bioacoustic data without individual call annotations using temporal convolutional networks and feature extractors.},
  author = {Garrobé Fonollosa L and Gillespie D and Stankovic L and Stankovic V and Rendell L},
  year = {2026},
  journal = {The Journal of the Acoustical Society of America},
  doi = {10.1121/10.0044583},
  url = {https://doi.org/10.1121/10.0044583}
}

RIS

TY  - JOUR
TI  - Classifying bioacoustic data without individual call annotations using temporal convolutional networks and feature extractors.
AU  - Garrobé Fonollosa L
AU  - Gillespie D
AU  - Stankovic L
AU  - Stankovic V
AU  - Rendell L
PY  - 2026
JO  - The Journal of the Acoustical Society of America
DO  - 10.1121/10.0044583
UR  - https://doi.org/10.1121/10.0044583
ER  - 

APA

L, G. F., D, G., L, S., V, S., & L, R. (2026). Classifying bioacoustic data without individual call annotations using temporal convolutional networks and feature extractors.. The Journal of the Acoustical Society of America. https://doi.org/10.1121/10.0044583

Source records