Abstract Sound Source Localization (SSL) systems focus on finding the direction of a sound
source. Sound source localization is an essential feature in robots and humanoids …

In this research, a novel sound source localization model is introduced that integrates a
convolutional neural network with a regression model (CNN-R) to estimate the sound source …

Sound localization is a vast field of research and advancement which is used in many useful
applications to facilitate communication, radars, medical aid, and speech enhancement to …

Sound localization is a field of signal processing that deals with identifying the origin of a
detected sound signal. This involves determining the direction and distance of the source of …

This paper introduces a new localization method called SVD-PHAT. The SVD-PHAT method
relies on Singular Value De-composition of the SRP-PHAT projection matrix. A kd tree is …

This study presents a system for sound source localization in time domain using a deep
residual neural network. Data from the linear 8 channel microphone array with 3 cm spacing …

Abstract Deep learning and Neural Networks strategies have become very popular in the
last year as tools for image and data processing. As for acoustics, neural network-based …

Sound source localization plays a crucial role in many microphone arrays application,
ranging from speech enhancement to human–computer interface in a reverberant noisy …

This paper describes sound source localization (SSL) based on deep neural networks
(DNNs) using discriminative training. A naïve DNNs for SSL can be configured as follows …

To phased microphone array for sound source localization, algorithm with both high
computational efficiency and high precision is a persistent pursuit until now. In this paper …