With the goal of improving human-robot speech communication, the localization of multiple
sound sources in the 3D-space based on the MUSIC algorithm was implemented and …

Inspired by the behavior of humans talking in noisy environments, we propose an embodied
embedded cognition approach to improve automatic speech recognition (ASR) systems for …

While a robot is moving, the joints inevitably generate noise due to its motors, ie ego-motion
noise. This problem is very crucial, especially in humanoid robots, because it tends to have …

It is a common assumption that with just two microphones only the azimuth angle of a sound
source can be estimated and that a third, orthogonal microphone (or set of microphones) is …

Sound source localization serves as a significant capability of autonomous robots that
conduct missions such as search and rescue, and target tracking in challenging …

We proposed a method for estimating sound source locations in a 3D space by integrating
sound directions estimated by multiple microphone arrays and taking advantage of reflection …

This paper proposes a spiking neural network (SNN) of the mammalian subcortical auditory
pathway to achieve binaural sound source localisation. The network is inspired by …

This paper addresses ego-motion noise suppression for a robot. Many methods use motion
information such as position, velocity and acceleration of each joint to infer ego-motion …

Sound source localization is a need for robotic systems interacting with acoustically-active
environments. In this domain, numerous binaural localization studies have been conducted …

This article presents common methods for sound source localization and separation, and
their applications to robots. Sound source localization is an estimate of the location or …