Data augmentation and deep learning methods in sound classification: A systematic review
The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …
research advancements with respect to small data and the use of data augmentation …
[HTML][HTML] Environmental Sound Classification: A descriptive review of the literature
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 …
research as most of the traditional studies are focused on speech and music signals …
Spectral images based environmental sound classification using CNN with meaningful data augmentation
In this study, an effective approach of spectral images based on environmental sound
classification using Convolutional Neural Networks (CNN) with meaningful data …
classification using Convolutional Neural Networks (CNN) with meaningful data …
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 …
field. Compared with structured sounds such as speech and music, the time–frequency …
PCB-YOLO: An improved detection algorithm of PCB surface defects based on YOLOv5
J Tang, S Liu, D Zhao, L Tang, W Zou, B Zheng - Sustainability, 2023 - mdpi.com
To address the problems of low network accuracy, slow speed, and a large number of model
parameters in printed circuit board (PCB) defect detection, an improved detection algorithm …
parameters in printed circuit board (PCB) defect detection, an improved detection algorithm …
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 …
as managing smart cities, location determination, surveillance systems, machine hearing …
Diabetic retinopathy detection through convolutional neural networks with synaptic metaplasticity
Background and objectives: Diabetic retinopathy is a type of diabetes that causes vascular
changes that can lead to blindness. The ravages of this disease cannot be reversed, so …
changes that can lead to blindness. The ravages of this disease cannot be reversed, so …
Medium-and long-term precipitation forecasting method based on data augmentation and machine learning algorithms
Accurate medium and long-term precipitation forecasting plays a vital role in disaster
prevention and mitigation and rational allocation of water resources. In recent years, there …
prevention and mitigation and rational allocation of water resources. In recent years, there …
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 …
classification (ESC) has attracted the attention of academia and industry. The development …
Digital audio forensics: microphone and environment classification using deep learning
The recording device along with the acoustic environment plays a major role in digital audio
forensics. We propose an acoustic source identification system in this paper, which includes …
forensics. We propose an acoustic source identification system in this paper, which includes …