CDPNet: conformer-based dual path joint modeling network for bird sound recognition-Reference-Cited by-同舟云学术

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CDPNet: conformer-based dual path joint modeling network for bird sound recognition

Published:2024-02 Issue:4 Volume:54 Page:3152-3168
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Guo Huimin,Jian Haifang,Wang Yiyu,Wang Hongchang,Zheng Shuaikang,Cheng Qinghua,Li Yuehao

Funder

National Key R &D Program of China

Network Security and Informatization Special Project of the Chinese Academy of Sciences

Yunnan Province-Kunming City Major Science and Technology Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05362-9.pdf

Reference68 articles.

1. Pahuja R, Kumar A (2021) Sound-spectrogram based automatic bird species recognition using mlp classifier. Appl Acoust 180:108077. https://doi.org/10.1016/j.apacoust.2021.108077

2. Kułaga K, Budka M (2019) Bird species detection by an observer and an autonomous sound recorder in two different environments: Forest and farmland. PLoS One 14(2):1–19. https://doi.org/10.1371/journal.pone.0211970

3. Bolam FC, Mair L, Angelico M et al (2021) How many bird and mammal extinctions has recent conservation action prevented? Conserv Lett 14(1):e12762. https://doi.org/10.1111/conl.12762

4. Develey PF, Phalan BT (2021) Bird extinctions in brazil’s atlantic forest and how they can be prevented. Front Ecol Evol 9:624587. https://doi.org/10.3389/fevo.2021.624587

5. Piratelli A (2003) Mesh size and bird capture rates in mato grosso do sul state, Brazil. Braz J Biol 63:105–111. https://doi.org/10.1590/S1519-69842003000100014

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