[HTML][HTML] Environmental Sound Classification: A descriptive review of the literature

A Bansal, NK Garg - Intelligent systems with applications, 2022 - Elsevier
Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …

Rethinking CNN models for audio classification

K Palanisamy, D Singhania, A Yao - arxiv preprint arxiv:2007.11154, 2020 - arxiv.org
In this paper, we show that ImageNet-Pretrained standard deep CNN models can be used
as strong baseline networks for audio classification. Even though there is a significant …

Environmental sound classification using temporal-frequency attention based convolutional neural network

W Mu, B Yin, X Huang, J Xu, Z Du - Scientific Reports, 2021 - nature.com
Environmental sound classification is one of the important issues in the audio recognition
field. Compared with structured sounds such as speech and music, the time–frequency …

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook

M Goodwin, KT Halvorsen, L Jiao… - ICES Journal of …, 2022 - academic.oup.com
The deep learning (DL) revolution is touching all scientific disciplines and corners of our
lives as a means of harnessing the power of big data. Marine ecology is no exception. New …

CNN hyper-parameter optimization for environmental sound classification

Ö İnik - Applied Acoustics, 2023 - Elsevier
Environmental sounds are being used widely in our lives. It is especially used in tasks such
as managing smart cities, location determination, surveillance systems, machine hearing …

A survey of audio classification using deep learning

K Zaman, M Sah, C Direkoglu, M Unoki - IEEE Access, 2023 - ieeexplore.ieee.org
Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …

Sound classification using evolving ensemble models and Particle Swarm Optimization

L Zhang, CP Lim, Y Yu, M Jiang - Applied soft computing, 2022 - Elsevier
Automatic sound classification attracts increasing research attention owing to its vast
applications, such as robot navigation, environmental sensing, musical instrument …

Fast environmental sound classification based on resource adaptive convolutional neural network

Z Fang, B Yin, Z Du, X Huang - Scientific Reports, 2022 - nature.com
Recently, with the construction of smart city, the research on environmental sound
classification (ESC) has attracted the attention of academia and industry. The development …

A deep ensemble neural network with attention mechanisms for lung abnormality classification using audio inputs

C Wall, L Zhang, Y Yu, A Kumar, R Gao - Sensors, 2022 - mdpi.com
Medical audio classification for lung abnormality diagnosis is a challenging problem owing
to comparatively unstructured audio signals present in the respiratory sound clips. To tackle …

The effect of soundscape composition on bird vocalization classification in a citizen science biodiversity monitoring project

ML Clark, L Salas, S Baligar, CA Quinn, RL Snyder… - Ecological …, 2023 - Elsevier
There is a need for monitoring biodiversity at multiple spatial and temporal scales to aid
conservation efforts. Autonomous recording units (ARUs) can provide cost-effective, long …