Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring
DA Nieto-Mora, S Rodríguez-Buritica… - Heliyon, 2023 - cell.com
Soundscape ecology is a promising area that studies landscape patterns based on their
acoustic composition. It focuses on the distribution of biotic and abiotic sounds at different …
acoustic composition. It focuses on the distribution of biotic and abiotic sounds at different …
A review of automated bioacoustics and general acoustics classification research
Automated bioacoustics classification has received increasing attention from the research
community in recent years due its cross-disciplinary nature and its diverse application …
community in recent years due its cross-disciplinary nature and its diverse application …
Automated species identification of frog choruses in environmental recordings using acoustic indices
S Brodie, S Allen-Ankins, M Towsey, P Roe… - Ecological …, 2020 - Elsevier
Acoustic monitoring provides opportunities for scaling up bioacoustic study of vocal animals
to greater temporal and spatial scales. However, the large amounts of audio that can be …
to greater temporal and spatial scales. However, the large amounts of audio that can be …
On loss functions and CNNs for improved bioacoustic signal classification
Frog population has been experiencing rapid decreases worldwide, which is regarded as
one of the most critical threats to global biodiversity. Therefore, large volumes of frog …
one of the most critical threats to global biodiversity. Therefore, large volumes of frog …
Passive acoustic surveys and the BirdNET algorithm reveal detailed spatiotemporal variation in the vocal activity of two anurans
Passive acoustic monitoring has proven effective for broad-scale population surveys of
acoustically active species, making it a valuable tool for conserving threatened species …
acoustically active species, making it a valuable tool for conserving threatened species …
Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window
Frog population has been experiencing rapid decreases worldwide, which is regarded as
one of the most critical threats to the global biodiversity. Therefore, large volumes of frog …
one of the most critical threats to the global biodiversity. Therefore, large volumes of frog …
Convolutional feature vectors and support vector machine for animal sound classification
Pattern classification based on deep network outperforms conventional methods in many
tasks. However, if the database for training exhibits internal representation that lacks …
tasks. However, if the database for training exhibits internal representation that lacks …
Automatic bird vocalization identification based on fusion of spectral pattern and texture features
S Zhang, Z Zhao, Z Xu, K Bellisario… - … on acoustics, Speech …, 2018 - ieeexplore.ieee.org
Automatic bird species identification from audio field recordings is studied in this paper. We
first used a Gaussian mixture model (GMM) based energy detector to select representative …
first used a Gaussian mixture model (GMM) based energy detector to select representative …
An intelligent system for estimating frog community calling activity and species richness
Over the past decade, dramatic declines in frog populations have been noticed worldwide.
To examine this decline, monitoring frogs is becoming increasingly important. Compared to …
To examine this decline, monitoring frogs is becoming increasingly important. Compared to …
[HTML][HTML] Non-sequential automatic classification of anuran sounds for the estimation of climate-change indicators
Several biological research studies have shown that the number of individuals of certain
species of anurans in a specific geographical region, and the evolution of this number over …
species of anurans in a specific geographical region, and the evolution of this number over …