Autonomous systems (ASs) operating in real-world environments are exposed to a plurality
and diversity of sounds that carry a wealth of information for perception in cognitive dynamic …

This paper addresses the challenge of acoustic scene mapping (ASM) in complex indoor
environments with multiple sound sources. Unlike existing methods that rely on prior data …

We address the 3D audio-visual mouth tracking problem when using a compact platform
with co-located audio-visual sensors, without a depth camera. In particular, we propose a …

This paper proposes a new method that fuses acoustic measurements in the reverberation
field and low-accuracy inertial measurement unit (IMU) motion reports for simultaneous …

In this paper, we present a method for real-time 3D sound sources mapping using an off-the-
shelf robotic perception sensor equipped with a linear microphone array. Conventional …

In this paper, we present a novel approach referred to as the audio-based virtual landmark-
based HoloSLAM. This innovative method leverages a single sound source and microphone …

The process of resolving mixtures of several sounds into their separate individual streams is
known as auditory scene analysis and it remains a challenging task for computational …

This paper presents an incremental learning framework for mobile robots localizing the
human sound source using a microphone array in a complex indoor environment consisting …

This paper presents a two-step framework for creating the three-dimensional (3-D) sound
map of an environment with a mobile robot. The first step is the creation of a map that …

This paper presents a framework for creating a 3D map of an environment that contains the
probability of a geometric feature to emit a sound. The goal is to provide an automated tool …