Handcrafted features and late fusion with deep learning for bird sound classification

J **e, M Zhu - Ecological Informatics, 2019 - Elsevier
Automated classification of calling bird species is useful for large-scale temporal and spatial
environmental monitoring. In this paper, we investigate acoustic features, visual features …

Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques

E Akbal, PD Barua, S Dogan, T Tuncer… - Expert Systems with …, 2023 - Elsevier
Classification of animal species using animal sounds is a critical issue for bioacoustics work.
Especially the determination of anurans (frogs or toads) species can be used as an indicator …

[HTML][HTML] The relationship between acoustic indices, elevation, and vegetation, in a forest plot network of southern China

YF Chen, Y Luo, C Mammides, KF Cao, S Zhu… - Ecological …, 2021 - Elsevier
An emerging method of monitoring biodiversity is through the use of audio recordings, often
made by autonomous recording units. Acoustic indices have been developed to estimate …

Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window

J **e, K Hu, M Zhu, Y Guo - Expert Systems with Applications, 2020 - Elsevier
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 …

An incremental technique for real-time bioacoustic signal segmentation

JG Colonna, M Cristo, MS Júnior… - Expert Systems with …, 2015 - Elsevier
A bioacoustical animal recognition system is composed of two parts:(1) the segmenter,
responsible for detecting syllables (animal vocalization) in the audio; and (2) the classifier …

Syllable clustering analysis-based passive acoustic monitoring technology and its application in bird monitoring

K Wu, W Ruan, D Zhou, Q Chen, C Zhang… - Biodiversity …, 2023 - biodiversity-science.net
Aims: Passive acoustic monitoring has proven to be an effective method for monitoring bird
biodiversity, as it allows for the analysis of important information such as bird songs and …

Pattern analysis based acoustic signal processing: a survey of the state-of-art

J Chaki - International Journal of Speech Technology, 2021 - Springer
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …

An intelligent system for estimating frog community calling activity and species richness

J **e, M Towsey, M Zhu, J Zhang, P Roe - Ecological Indicators, 2017 - Elsevier
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 …

Visualising forest sound: Justice-led ecoacoustic data interaction

J Longdon - Extended Abstracts of the 2023 CHI Conference on …, 2023 - dl.acm.org
Recent advances in technology and reduction in hardware costs have made the collection of
acoustic environmental recordings more accessible, thereby facilitating easier acquisition of …

Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms

J **e, M Towsey, J Zhang, P Roe - Applied Acoustics, 2016 - Elsevier
Frogs are often considered as excellent indicators of the overall state of the natural
environment, but a steady decrease in the frog population has been noticed worldwide. To …