Environmental sound classification (ESC) is an increasingly relevant field of research in
recent years but has high computational overhead in its classification of environmental …

Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic
of the recording environment. In this regard, deep learning based approaches have …

In this paper, we present a robust and low complexity model for Acoustic Scene
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …

Deep learning has proven to be suitable for acoustic scene classification (ASC). Therefore, it
exhibits significant improvement in performance while using neural networks. However …

Classification of environmental sound is an equally challenging task to classification of
human speech or music. In recent years, attention mechanism has gained considerable …

Classification of environmental sounds becomes an essential unit for several applications
such as robot audition, audio-visual and ambient intelligent systems. Recent years have …

The paper presents a wavelet scattering feature extraction using an averaged data
augmentation to include unseen devices in training. The multiple classifiers are applied to …

Log-Mel spectrogram for the convolutional neural network (CNN) and wavelet time
scattering for Ensemble of subspace discriminant classifiers is used for classifying acoustic …

The input audio signal in the acoustic scene classification (ASC) task is composed of
multiple acoustic events superimposed on each other, leading to problems such as low …