A review of automatic recognition technology for bird vocalizations in the deep learning era

J Xie, Y Zhong, J Zhang, S Liu, C Ding… - Ecological …, 2023 - Elsevier
Birds are considered critical indicators of ecosystem condition. Automatic recording devices
have emerged as a trending tool to assist field observations, contributing to biodiversity …

Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring

MP Mcloughlin, R Stewart… - Journal of the Royal …, 2019 - royalsocietypublishing.org
Vocalizations carry emotional, physiological and individual information. This suggests that
they may serve as potentially useful indicators for inferring animal welfare. At the same time …

A lightweight multi-sensory field-based dual-feature fusion residual network for bird song recognition

S Hu, Y Chu, L Tang, G Zhou, A Chen, Y Sun - Applied Soft Computing, 2023 - Elsevier
Bird song recognition plays an important function in ecosystem balance monitoring,
biodiversity detection, and biodiversity conservation. Due to the complexity of the natural …

Computational bioacoustic scene analysis

D Stowell - Computational analysis of sound scenes and events, 2018 - Springer
The analysis of natural and animal sound makes a demonstrable contribution to important
challenges in conservation, animal behaviour, and evolution. And now bioacoustics has …

Bird audio diarization with faster R-CNN

R Shrestha, C Glackin, J Wall, N Cannings - International Conference on …, 2021 - Springer
Birds embody particular phonic and visual traits that distinguish them from 10,000 distinct
bird species worldwide. Birds are also perceived to be indicators of biodiversity due to their …

Evaluation of various feature sets and feature selection towards automatic recognition of bird species

AV Bang, PP Rege - International Journal of Computer …, 2017 - inderscienceonline.com
It is necessary to develop efficient methods for monitoring and recognising bird species that
will help in evaluating the biodiversity of a region. In this paper we present techniques for …

[PDF][PDF] Detection of rain in acoustic recordings of the environment using machine learning techniques

M Ferroudj - 2015 - eprints.qut.edu.au
Chapter 1, version A Page 1 DETECTION OF RAIN IN ACOUSTIC RECORDINGS OF THE
ENVIRONMENT USING MACHINE LEARNING TECHNIQUES A THESIS SUBMITTED TO THE …

Design of self-injection-locked radar system for birds' wingbeat frequency detection

YS Su, CC Chang, JC Kuo, JM Kuo - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Wingbeat frequency (WBF) is an important biological feature for flying birds, used for species
classification and activity observation. To develop a handheld system for WBF detection, a …

Survey study on the methods of bird vocalization classification

S Rassak, M Nachamai… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The technologies holds the ability to change the world. Current digital era is a product of the
evolutionary technologies. It created the necessity to increase the Human Computer …

Content-based Audio Classification System for Bird Sounds

NM Norowi, NA Anuar, MR Mustaffa… - … in Applied Sciences …, 2023 - semarakilmu.com.my
Birds are very important to the ecosystem and an agent in promoting biodiversity. Their
vocalizations consist of songs and calls, and are used as a means to communicate, ie …