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 …

This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

This report presents the dataset and baseline of Task 3 of the DCASE2021 Challenge on
Sound Event Localization and Detection (SELD). The dataset is based on emulation of real …

The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

In recent years, the rise in both natural and man-made disasters, along with armed conflicts
and terrorist threats, has elevated the demand for Search and Rescue (SAR) missions …

In this paper, we propose a novel four-stage data augmentation approach to ResNet-
Conformer based acoustic modeling for sound event localization and detection (SELD) …

Audio-visual signals can be used jointly for robotic perception as they complement each
other. Such multi-modal sensory fusion has a clear advantage, especially under noisy …

The generalized cross-correlation (GCC) is regarded as the most popular approach for
estimating the time difference of arrival (TDOA) between the signals received at two sensors …

Sound source localization (SSL) is used in various applications such as industrial noise-
control, speech detection in mobile phones, speech enhancement in hearing aids and many …

Spherical harmonic decomposition facilitates decomposing the sound pressure at different
microphones into independent functions of frequency, azimuth and elevation of the source …