[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 …

The internet of audio things: State of the art, vision, and challenges

L Turchet, G Fazekas, M Lagrange… - IEEE internet of …, 2020 - ieeexplore.ieee.org
The Internet of Audio Things (IoAuT) is an emerging research field positioned at the
intersection of the Internet of Things, sound and music computing, artificial intelligence, and …

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 …

The internet of sounds: Convergent trends, insights, and future directions

L Turchet, M Lagrange, C Rottondi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …

Environmental sound classification using a regularized deep convolutional neural network with data augmentation

Z Mushtaq, SF Su - Applied Acoustics, 2020 - Elsevier
The adoption of the environmental sound classification (ESC) tasks increases very rapidly
over recent years due to its broad range of applications in our daily routine life. ESC is also …

Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power IoT devices

G Peruzzi, A Pozzebon, M Van Der Meer - Sensors, 2023 - mdpi.com
Forest fires are the main cause of desertification, and they have a disastrous impact on
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …

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 …

Efficient classification of environmental sounds through multiple features aggregation and data enhancement techniques for spectrogram images

Z Mushtaq, SF Su - Symmetry, 2020 - mdpi.com
Over the past few years, the study of environmental sound classification (ESC) has become
very popular due to the intricate nature of environmental sounds. This paper reports our …

Ensemble of handcrafted and deep features for urban sound classification

JS Luz, MC Oliveira, FHD Araujo, DMV Magalhães - Applied Acoustics, 2021 - Elsevier
The urban sound classification has a strong relation with feature extraction. In this paper, we
present a compact and effective representation capable of characterizing different urban …

Evaluating the performance of pre-trained convolutional neural network for audio classification on embedded systems for anomaly detection in smart cities

M Lamrini, MY Chkouri, A Touhafi - Sensors, 2023 - mdpi.com
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately
categorizing audio using well-trained Machine Learning (ML) classifiers. This application is …