This paper presents and explores a robust deep learning framework for auscultation
analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from …

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 topic related to the field of machine listening whose
important role is to recognize and categorize audio data in a predefined label which …

Domestic activities classification (DAC) from audio recordings aims at classifying audio
recordings into predefined categories of domestic activities, which is an effective way for …

This paper proposes a deep learning framework for classification of BBC television
programmes using audio. The audio is firstly transformed into spectrograms, which are fed …

Abstract Although research on Acoustic Scene Classification (ASC) is very close to, or even
overshadowed by different popular research areas known as Automatic Speech Recognition …

In this paper, we presents a low-complexitydeep learning frameworks for acoustic scene
classification (ASC). The proposed framework can be separated into threemain steps: Front …