[HTML][HTML] Comparison of pre-trained CNNs for audio classification using transfer learning
The paper investigates retraining options and the performance of pre-trained Convolutional
Neural Networks (CNNs) for sound classification. CNNs were initially designed for image�…
Neural Networks (CNNs) for sound classification. CNNs were initially designed for image�…
Rethinking CNN models for audio classification
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�…
as strong baseline networks for audio classification. Even though there is a significant�…
[HTML][HTML] An ensemble of convolutional neural networks for audio classification
Research in sound classification and recognition is rapidly advancing in the field of pattern
recognition. One important area in this field is environmental sound recognition, whether it�…
recognition. One important area in this field is environmental sound recognition, whether it�…
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�…
End-to-end environmental sound classification using a 1D convolutional neural network
In this paper, we present an end-to-end approach for environmental sound classification
based on a 1D Convolution Neural Network (CNN) that learns a representation directly from�…
based on a 1D Convolution Neural Network (CNN) that learns a representation directly from�…
CNN-RNN and data augmentation using deep convolutional generative adversarial network for environmental sound classification
B Bahmei, E Birmingham…�- IEEE Signal Processing�…, 2022 - ieeexplore.ieee.org
Deep neural networks in deep learning have been widely demonstrated to have higher
accuracy and distinct advantages over traditional machine learning methods in extracting�…
accuracy and distinct advantages over traditional machine learning methods in extracting�…
Comparison and analysis of SampleCNN architectures for audio classification
End-to-end learning with convolutional neural networks (CNNs) has become a standard
approach in image classification. However, in audio classification, CNN-based models that�…
approach in image classification. However, in audio classification, CNN-based models that�…
Deep convolutional neural networks and data augmentation for environmental sound classification
The ability of deep convolutional neural networks (CNNs) to learn discriminative spectro-
temporal patterns makes them well suited to environmental sound classification. However�…
temporal patterns makes them well suited to environmental sound classification. However�…
Comparison of time-frequency representations for environmental sound classification using convolutional neural networks
M Huzaifah�- arXiv preprint arXiv:1706.07156, 2017 - arxiv.org
Recent successful applications of convolutional neural networks (CNNs) to audio
classification and speech recognition have motivated the search for better input�…
classification and speech recognition have motivated the search for better input�…
A new pyramidal concatenated CNN approach for environmental sound classification
Recently, there has been an incremental interest on Environmental Sound Classification
(ESC), which is an important topic of the non-speech audio classification task. A novel�…
(ESC), which is an important topic of the non-speech audio classification task. A novel�…