Research progress in bird sounds recognition based on acoustic monitoring technology: A systematic review

D Liu, H **ao, K Chen - Applied Acoustics, 2025 - Elsevier
Bird sound contains rich ecological information, and its related research results can be
applied to animal behavior analysis, natural information collection and ecological …

Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture

FJ Bravo Sanchez, MR Hossain, NB English… - Scientific Reports, 2021 - nature.com
The use of autonomous recordings of animal sounds to detect species is a popular
conservation tool, constantly improving in fidelity as audio hardware and software evolves …

Sound-spectrogram based automatic bird species recognition using MLP classifier

R Pahuja, A Kumar - Applied Acoustics, 2021 - Elsevier
Bioacoustics play a major role in the field of ornithology, ecology, animal behaviour study,
habitat monitoring, species conservation and design of deterrent system. This work focusses …

Soundscapes of urban parks: An innovative approach for ecosystem monitoring and adaptive management

Y Zhao, S Sheppard, Z Sun, Z Hao, J **, Z Bai… - Urban Forestry & Urban …, 2022 - Elsevier
Urban foresters are addressing the challenge of urban biodiversity loss through
management plans in the context of rapid urbanization. Protecting the integrity of the urban …

A frequency-dependent acoustic diversity index: A revision to a classic acoustic index for soundscape ecological research

Z Xu, L Chen, BC Pijanowski, Z Zhao - Ecological Indicators, 2023 - Elsevier
In recent years, passive acoustic monitoring (PAM) has been widely applied in the field of
soundscape ecology. Meanwhile, acoustic indices, as an important tool for rapid biodiversity …

Automatic classification of electrocardiogram signals based on transfer learning and continuous wavelet transform

X Sun, P Liu, Z He, Y Han, B Su - Ecological Informatics, 2022 - Elsevier
Classification and subsequent diagnosis of cardiac arrhythmias is an important research
topic in clinical practice. Confirmation of the type of arrhythmia at an early stage is critical for …

Multi-level local feature coding fusion for music genre recognition

WWY Ng, W Zeng, T Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Music genre recognition (MGR) plays a fundamental role in the context of music indexing
and retrieval. Unlike images, music genres consist of immediate characteristics that are …

Probability enhanced entropy (PEE) novel feature for improved bird sound classification

R Murugaiya, PE Abas, LC De Silva - Machine Intelligence Research, 2022 - Springer
Identification of bird species from their sounds has become an important area in biodiversity-
related research due to the relative ease of capturing bird sounds in the commonly …

Exploring the application of frequency-dependent acoustic diversity index in human-dominated areas

C Lei, XU Zhi-Yong, SU Pu-Kun… - Biodiversity …, 2024 - biodiversity-science.net
Background & Aims: As a popular tool for rapid biodiversity assessment using passive
acoustic monitoring (PAM), acoustic indices have attracted increasing attention in the field of …

[PDF][PDF] A Novel Approach of Audio Based Feature Optimisation for Bird Classification.

M Ramashini, PE Abas… - Pertanika Journal of …, 2021 - pertanika.upm.edu.my
Bird classification using audio data can be beneficial in assisting ornithologists, bird
watchers and environmentalists. However, due to the complex environment in the jungles, it …