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�…

The prevalence of ubiquitous computing enables new opportunities for lung health
monitoring and assessment. In the past few years, there have been extensive studies on�…

For environmental sound classification (ESC), this letter presents a learnable auditory
filterbank based on a one-dimensional (1D) convolutional neural network with strong�…

We describe a general-purpose end-to-end audio embeddings generator that can be easily
adapted to various acoustic scene and event classification applications. In contrast to many�…

The attention-based Transformers have been increasingly applied to audio classification
because of their global receptive field and ability to handle long-term dependency. However�…

In our submission to the DCASE 2019 Task 1a, we have explored the use of four different
deep learning based neural networks architectures: Vgg12, ResNet50, AclNet, and�…

Deep learning has celebrated resounding successes in many application areas of relevance
to the Internet of Things (IoT), such as computer vision and machine listening. These�…

Unmanned Aerial Vehicles and the increasing variety of their applications are raising in
popularity. The growing number of UAVs, emphasizes the significance of drones' reliability�…

Audio classification is an important task in the machine learning field with a wide range of
applications. Since the last decade, deep learning based methods have been widely used�…

This paper considers the problem of anomaly detection in an outdoor environment where
surveillance cameras are usually installed to monitor activities of general public. A novel�…