Environmental sound classification using a regularized deep convolutional neural network with data augmentation
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 …
over recent years due to its broad range of applications in our daily routine life. ESC is also …
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
This study presents the Auditory Cortex ResNet (AUCO ResNet), it is a biologically inspired
deep neural network especially designed for sound classification and more specifically for …
deep neural network especially designed for sound classification and more specifically for …
Efficient classification of environmental sounds through multiple features aggregation and data enhancement techniques for spectrogram images
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 …
very popular due to the intricate nature of environmental sounds. This paper reports our …
Deep learning aided spectrum prediction for satellite communication systems
X Ding, L Feng, Y Zou, G Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study a spectrum-sharing satellite system, consisting of a pair of
geosynchronous earth orbit (GEO) and low earth orbit (LEO) constellation, where the LEO …
geosynchronous earth orbit (GEO) and low earth orbit (LEO) constellation, where the LEO …
Deep classification of sound: A concise review
Sound classification is a task to classify sounds into different classes. In earlier days, the
researchers mainly used conventional machine learning techniques to classify sounds. In …
researchers mainly used conventional machine learning techniques to classify sounds. In …
EnViTSA: ensemble of vision transformer with SpecAugment for acoustic event classification
Recent successes in deep learning have inspired researchers to apply deep neural
networks to Acoustic Event Classification (AEC). While deep learning methods can train …
networks to Acoustic Event Classification (AEC). While deep learning methods can train …
Scalogram neural network activations with machine learning for domestic multi-channel audio classification
Current methodologies explored for audio classification, particularly multi-channel audio,
commonly involve the use of individual deep learning approaches. In this paper, we look at …
commonly involve the use of individual deep learning approaches. In this paper, we look at …
NeuProNet: neural profiling networks for sound classification
Real-world sound signals exhibit various aspects of grouping and profiling behaviors, such
as being recorded from identical sources, having similar environmental settings, or …
as being recorded from identical sources, having similar environmental settings, or …
Cyber-physical analytics: Environmental sound classification at the edge
Recent advances in embedded system technology have created opportunities for alleviating
or eliminating common Big Data problems, by providing the resources necessary to perform …
or eliminating common Big Data problems, by providing the resources necessary to perform …
SO-TAD: A surveillance-oriented benchmark for traffic accident detection
X Chen, H Xu, M Ruan, M Bian, Q Chen, Y Huang - Neurocomputing, 2024 - Elsevier
Automatic traffic accident detection is a crucial component of Vehicle-to-Infrastructure (V2I)
systems and is gaining increasing attention from researchers due to its significant impact on …
systems and is gaining increasing attention from researchers due to its significant impact on …