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 …

Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

An algorithm is presented that enables devices equipped with microphones, such as robots,
to move within their environment in order to explore, adapt to, and interact with sound …

Deep neural networks have been successfully applied to sound direction-of-arrival
estimation under challenging conditions. However, such a learning-based approach …

Multi-channel signals captured by spatially separated sensors often contain a high level of
data redundancy. A compact signal representation enables more efficient storage and …

Direction of arrival (DOA) estimation is a fundamental problem in acoustic signal processing.
It is used in a diverse range of applications, including spatial filtering, speech …

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

Several techniques exist to estimate the directions of arrival (DOAs) of sound sources
captured with a spherical microphone array. The eigenbeam rotational invariance technique …

A 3D sound source localization (SSL) technique for multiple spherical arrays is proposed.
Spherical arrays have been popularly used for direction of arrival (DoA) estimation, which …

Featured Application To obtain an antenna array with isotropic radiation, a spherical
antenna array (SAA) is the correct array configuration. The knowledge of the direction-of …