Communication Dans Un Congrès Année : 2021

Overview of BirdCLEF 2021: Bird call identification in soundscape recordings

Résumé

Conservation of bird species requires detailed knowledge of their spatiotemporal occurrence and distribution patterns. Over the past decade, passive acoustic monitoring (PAM) has become an essential tool to collect data on birds on ecologically relevant scales. However, these PAM efforts generate extensive datasets, and their comprehensive analysis remains challenging. Improved and fully automated acoustic analysis frameworks are needed to advance the field of avian conservation. The 2021 BirdCLEF challenge focused on developing and assessing automated analysis frameworks for avian vocalizations in continuous soundscape data. The primary task of the challenge was to detect and identify all bird calls within the hidden test dataset. This paper describes how the various algorithms were evaluated and synthesizes the results and lessons learned.

Fichier principal
Vignette du fichier
612697.pdf (7.15 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-05182984 , version 1 (23-07-2025)

Licence

Identifiants

  • HAL Id : hal-05182984 , version 1

Citer

Stefan Kahl, Tom Denton, Holger Klinck, Hervé Glotin, Hervé Goeau. Overview of BirdCLEF 2021: Bird call identification in soundscape recordings. CLEF 2021 Working Notes - 22nd Conference and Labs of the Evaluation Forum, Sep 2021, Bucarest, Romania. pp.1437-1450. ⟨hal-05182984⟩
101 Consultations
200 Téléchargements

Partager

  • More