The concept of Acoustic Source Identification (ASI), which refers to the process of identifying
noise sources has attracted increasing attention in recent years. The ASI technology can be …

The field of Acoustic Event Detection is generally overshadowed by the traditional field of
Automatic Speech Recognition. But our auditory environment is made up of many sounds …

The ongoing process of automation in production lines increases the requirements for robust
and reliable quality control. Acoustic quality control can play a major part in advanced …

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

Various types of classifiers and feature extraction methods for acoustic scene classification
have been recently proposed in the IEEE Detection and Classification of Acoustic Scenes …

We present acoustic event identification by integration of sound source separation and deep
learning based on a convolutional neural network for extremely noisy acoustics signals …

Public evaluation campaigns and datasets promote active development in target research
areas, allowing direct comparison of algorithms. The second edition of the challenge on …

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 …

This work proposes bag-of-features deep learning models for acoustic scene classification
(ASC)–identifying recording locations by analysing background sound. We explore the effect …

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 …