Sound source localization (SSL) in a robotic platform has been essential in the overall
scheme of robot audition. It allows a robot to locate a sound source by sound alone. It has an …

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 …

This paper attempts to provide a state-of-the-art of sound source localization in robotics.
Noticeably, this context raises original constraints—eg embeddability, real time, broadband …

We propose to use neural networks for simultaneous detection and localization of multiple
sound sources in human-robot interaction. In contrast to conventional signal processing …

This paper presents a novel approach for indoor acoustic source localization using
microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed …

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

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 …

Despite the recent success of deep neural network-based approaches in sound source
localization, these approaches suffer the limitations that the required annotation process is …

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

The binaural microphone, which refers to a pair of microphones with artificial human-shaped
ears, is widely used in hearing aids and spatial audio recording to improve sound quality. It …