An overview of remote monitoring methods in biodiversity conservation

RG Kerry, FJP Montalbo, R Das, S Patra… - … Science and Pollution …, 2022 - Springer
Conservation of biodiversity is critical for the coexistence of humans and the sustenance of
other living organisms within the ecosystem. Identification and prioritization of specific …

Multileveled ternary pattern and iterative ReliefF based bird sound classification

T Tuncer, E Akbal, S Dogan - Applied Acoustics, 2021 - Elsevier
Birds may need to be identified for purposes such as environmental monitoring, follow-up,
and species detection in the ecological area. Automatic sound classifiers have been used to …

A comparative survey of feature extraction and machine learning methods in diverse acoustic environments

D Bonet-Solà, RM Alsina-Pagès - Sensors, 2021 - mdpi.com
Acoustic event detection and analysis has been widely developed in the last few years for its
valuable application in monitoring elderly or dependant people, for surveillance issues, for …

[HTML][HTML] SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a …

SH Wu, HW Chang, RS Lin, MN Tuanmu - Ecological Informatics, 2022 - Elsevier
Passive acoustic monitoring (PAM) offers many advantages comparing with other survey
methods and gains an increasing use in terrestrial ecology, but the massive effort needed to …

Research progress of birdsong recognition algorithms based on machine learning

X Shen, X Zhu, H Shi, C Wang - Biodiversity Science, 2023 - biodiversity-science.net
Background & Aim: Birds, located at the upstream of the ecological food chain, serve as
crucial reference indicators for environmental quality and pollution. However, monitoring the …

Western Mediterranean Wetland Birds dataset: A new annotated dataset for acoustic bird species classification

J Gómez-Gómez, E Vidaña-Vila, X Sevillano - Ecological Informatics, 2023 - Elsevier
The deployment of an expert system running over a wireless acoustic sensors network made
up of bioacoustic monitoring devices that recognize bird species from their sounds would …

Multilabel acoustic event classification using real-world urban data and physical redundancy of sensors

E Vidaña-Vila, J Navarro, D Stowell, RM Alsina-Pagès - Sensors, 2021 - mdpi.com
Many people living in urban environments nowadays are overexposed to noise, which
results in adverse effects on their health. Thus, urban sound monitoring has emerged as a …

Discrete wavelet transform based branched deep hybrid network for environmental noise classification

SAA Shah, A Bais, A Alashaikh… - Computational …, 2023 - Wiley Online Library
With ever growing urbanization, the environmental noise is becoming hazardous. Vehicular
traffic, locomotives, heavy machinery in industry, and construction processes are the major …

Western mediterranean wetlands bird species classification: evaluating small-footprint deep learning approaches on a new annotated dataset

J Gómez-Gómez, E Vidaña-Vila, X Sevillano - arXiv preprint arXiv …, 2022 - arxiv.org
The deployment of an expert system running over a wireless acoustic sensors network made
up of bioacoustic monitoring devices that recognise bird species from their sounds would …

Biomimetic investigation of the impact of the ear canal on the acoustic field sensitivity of aye-ayes

H Nemati, E Dehghan-Niri - Applied Acoustics, 2023 - Elsevier
The aye-ayes (Daubentonia madagascariensis) are an extremely rare lemur species and
the world's largest nocturnal primate. Tapping on tree bark with its unique elongated middle …