In the last three decades, the Steered Response Power (SRP) method has been widely
used for the task of Sound Source Localization (SSL), due to its satisfactory localization …

Abstract Sound Source Localization (SSL) involves estimating the Direction of Arrival (DOA)
of sound sources. Since the DOA estimation output space is continuous, regression might be …

With the considerable rise in the number of devices connecting to the Internet, the demand
for an extensive capacity communication networks is already apparent. Beam Division …

Multisource sound localization can find applications in many domains, including auditory
scene analysis, fault detection, and diagnosis in manufacturing, augmented reality, etc. In far …

Extracting direct-path spatial features is critical for sound source localization in adverse
acoustic environments. This paper proposes a full-band and narrow-band fusion network for …

Neural networks have achieved state-of-the-art performance on the task of acoustic
Direction-of-Arrival (DOA) estimation using microphone arrays. Neural models can be …

Currently, sound source localization (SSL) techniques based on deep learning mainly rely
on traditional signal processing methods to generate input features. Nevertheless, the …

Machine-learning-based sound source localization (SSL) methods have shown strong
performance in challenging acoustic scenarios. However, little work has been done on …

In smart home applications, accurate direction of arrival (DOA) estimation of sound sources
is essential for beamforming and product interaction features. However, domestic …

Sound source localization (SSL) or simply direction of arrival (DOA) classification is an
important ingredient in acoustic applications. Traditional model-based algorithms are …