In every aspect of human life, sound plays an important role. From personal security to
critical surveillance, sound is a key element to develop the automated systems for these …

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 …

Cognitive prediction in the complicated and active environments is of great importance role
in artificial learning. Classification accuracy of sound events has a robust relation with the …

In this study, an effective approach of spectral images based on environmental sound
classification using Convolutional Neural Networks (CNN) with meaningful data …

There are many sounds all around us and our brain can easily and clearly identify them.
Furthermore, our brain processes the received sound signals continuously and provides us …

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 …

With the popularity of using deep learning-based models in various categorization problems
and their proven robustness compared to conventional methods, a growing number of …

Environmental sound classification (ESC) is a challenging problem due to the complexity of
sounds. The classification performance is heavily dependent on the effectiveness of …

Environmental sound classification (ESC) is an important and challenging problem. In
contrast to speech, sound events have noise-like nature and may be produced by a wide …

Recently, with the construction of smart city, the research on environmental sound
classification (ESC) has attracted the attention of academia and industry. The development …