Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring-Reference-Cited by-同舟云学术

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Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring

Published:2024-10 Issue: Volume:252 Page:124220
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Napier Thomas^ORCID,Ahn Euijoon^ORCID,Allen-Ankins Slade^ORCID,Schwarzkopf Lin^ORCID,Lee Ickjai

Publisher

Elsevier BV

Reference138 articles.

1. Convolutional neural networks for speech recognition;Abdel-Hamid;IEEE/ACM Transactions on Audio, Speech, and Language Processing,2014

2. Automatically identifying animal species from their vocalizations;Agranat,2009

3. Acoustic indices as proxies for biodiversity: A meta-analysis;Alcocer;Biological Reviews,2022

4. Effectiveness of acoustic indices as indicators of vertebrate biodiversity;Allen-Ankins;Ecological Indicators,2023

5. Automatic anuran identification using noise removal and audio activity detection;Alonso;Expert Systems with Applications,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the relationship between the soundscape and the environment: A systematic review;Ecological Indicators;2024-09

2. Acoustic monitoring for tropical insect conservation;2024-07-05

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