A bird song detector for improving bird identification through deep learning: A case study from Doñana
Passive Acoustic Monitoring (PAM), which uses devices like automatic audio recorders, has become a fundamental tool in conserving and managing natural ecosystems. However, the large volume of unsupervised audio data that PAM generates poses a major challenge for extracting meaningful information. De...
Saved in:
| Main Authors: | Alba Márquez-Rodríguez, Miguel Ángel Mohedano-Munoz, Manuel J. Marín-Jiménez, Eduardo Santamaría-García, Giulia Bastianelli, Pedro Jordano, Irene Mendoza |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125002638 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Monitoring Grassland Bird Communities with Acoustic Indices
by: Bethany L. Ostrom, et al.
Published: (2025-02-01) -
A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions
by: Ryotaro Okamoto, et al.
Published: (2025-12-01) -
Scientific Ideas Included in the Concepts of Bioacoustics, Acoustic Ecology, Ecoacoustics, Soundscape Ecology, and Vibroacoustics
by: Agnieszka OZGA
Published: (2017-07-01) -
Acoustic recognition of individuals in closed and open bird populations
by: Lifi Huang, et al.
Published: (2025-12-01) -
ArcticSoundsNET: BirdNET embeddings facilitate improved bioacoustic classification of Arctic species
by: Morgan A. Ziegenhorn, et al.
Published: (2025-12-01)