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 …

While direction of arrival (DOA) of sound events is generally estimated from multichannel
audio data recorded in a microphone array, sound events usually derive from visually …

Sound event localization and detection (SELD) involves identifying the direction-of-arrival
(DOA) and the event class. The SELD methods with a class-wise output format make the …

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 …

Sound event localization and detection (SELD) consists of two subtasks, which are sound
event detection and direction-of-arrival estimation. While sound event detection mainly relies …

Recently, brain-inspired spiking neural networks (SNNs) have demonstrated promising
capabilities in solving pattern recognition tasks. However, these SNNs are grounded on …

Polyphonic sound event localization and detection (SELD) has many practical applications
in acoustic sensing and monitoring. However, the development of real-time SELD has been …

Sound Event Detection and Localization (SELD) is a combined task of identifying sound
events and their corresponding direction-of-arrival (DOA). While this task has numerous …

We study four data augmentation (DA) techniques and two model architectures on realistic
data for sound event localization and detection (SELD). First, based on ResNet-Conformer …

Acoustic scene classification (ASC) can be helpful for creating context awareness for
intelligent robots. Humans naturally use the relations between acoustic scenes (AS) and …