This study is a survey of sound source localization and detection methods. The study
provides a detailed classification of the methods used in the fields of science mentioned …

Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

In this paper, we present an end-to-end approach for environmental sound classification
based on a 1D Convolution Neural Network (CNN) that learns a representation directly from …

The ability of deep convolutional neural networks (CNNs) to learn discriminative spectro-
temporal patterns makes them well suited to environmental sound classification. However …

Sound events often occur in unstructured environments where they exhibit wide variations in
their frequency content and temporal structure. Convolutional neural networks (CNNs) are …

DCASE 2017 Challenge consists of four tasks: acoustic scene classification, detection of
rare sound events, sound event detection in real-life audio, and large-scale weakly …

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

In this paper we present an approach to polyphonic sound event detection in real life
recordings based on bi-directional long short term memory (BLSTM) recurrent neural …

This paper presents and discusses various metrics proposed for evaluation of polyphonic
sound event detection systems used in realistic situations where there are typically multiple …

This paper describes Task 2 of the DCASE 2018 Challenge, titled" General-purpose audio
tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle …