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 …

In this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlapping sound events in three-dimensional …

This paper proposes a deep neural network for estimating the directions of arrival (DOA) of
multiple sound sources. The proposed stacked convolutional and recurrent neural network …

Mammals localize sounds using information from their two ears. Localization in real-world
conditions is challenging, as echoes provide erroneous information and noises mask parts …

The understanding of the surrounding environment plays a critical role in autonomous
robotic systems, such as self-driving cars. Extensive research has been carried out …

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 performance of most of the classical sound source localization algorithms degrades
seriously in the presence of background noise or reverberation. Recently, deep neural …

In this paper, we propose a novel data augmentation method for training neural networks for
Direction of Arrival (DOA) estimation. This method focuses on expanding the representation …

Localizing a moving sound source in the real world involves determining its direction-of-
arrival (DOA) and distance relative to a microphone. Advancements in DOA estimation have …

Sound source localization (SSL) is an important technique for many audio processing
systems, such as speech enhancement/recognition and human-robot interaction. Although …