The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …

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 …

Eavesdrop** on private conversations is one of the most common yet detrimental threats
to privacy. A number of recent works have explored side-channels on smart devices for …

Spectrogram representations of acoustic scenes have achieved competitive performance for
acoustic scene classification. Yet, the spectrogram alone does not take into account a …

Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …

A major problem in Acoustic Scene Classification (ASC) is a representation of an acoustic
scene, which serves to be an important task for ASC. This study used Linear Prediction …

This article proposes an encoder-decoder network model for Acoustic Scene Classification
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …

A general problem in acoustic scene classification task is the mismatched conditions
between training and testing data, which significantly reduces the performance of the …

Convolutional neural networks (CNNs) has shown tremendous ability in many classification
problems, because it could improve classification performance by extracting abstract …

Recent evidence suggests that convolutional neural networks (CNNs) can model acoustic
scene classification (ASC) with high accuracy. Ensemble classifiers have also shown high …