Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

The recognition of pig cough sound is a prerequisite for early warning of respiratory
diseases in pig houses, which is essential for detecting animal welfare and predicting …

This paper provides an analysis of state-of-the-art activation functions with respect to
supervised classification of deep neural network. These activation functions comprise of …

Acoustic scene classification (ASC) is a problem related to the field of machine listening
whose objective is to classify/tag an audio clip in a predefined label describing a scene …

Electroencephalography (EEG) is among the main tools used for analyzing and diagnosing
epilepsy. The manual analysis of EEG must be conducted by highly trained clinicians or …

In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …

Fusion strategies that utilize time-frequency features have achieved superior performance in
acoustic scene classification tasks. However, the existing fusion schemes are mainly …

Abstract Acoustic Scene Classification (ASC) is the task of assigning a semantic label to an
audio recording, based on the surrounding environment. In this work, a Fisher network is …

As an effective approach to perceive environments, acoustic scene classification (ASC) has
received considerable attention in the past few years. Generally, ASC is deemed a …

The analysis of ambient sounds can be very useful when developing sound base intelligent
systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded …