Imagine that you are blindfolded inside an unknown room. You snap your fingers and listen
to the room's response. Can you hear the shape of the room? Some people can do it …

Abstract Non-line-of-sight (NLOS) imaging enables unprecedented capabilities in a wide
range of applications, including robotic and machine vision, remote sensing, autonomous …

Acoustic scene reconstruction is a process that aims to infer characteristics of the
environment from acoustic measurements. We investigate the problem of locating planar …

Recently deep learning and machine learning approaches have been widely employed for
various applications in acoustics. Nonetheless, in the area of sound field processing and …

Can we reconstruct the entire internal shape of a room if all we can directly observe is a
small portion of one internal wall, presumably through a window in the room? While …

Detecting the correct peaks of reflections in room impulse responses (RIRs) is of interest for
several applications. The time-of-flight (ToF) of these reflections peaks are needed, for …

Acoustic reflector localization is an important issue in audio signal processing, with direct
applications in spatial audio, scene reconstruction, and source separation. Several methods …

Estimation of the room geometry from spatial room impulse responses is studied. An
algorithm for estimating the geometry is presented. The algorithm does not require any a …

We present the concept of an acoustic rake receiver-a microphone beamformer that uses
echoes to improve the noise and interference suppression. The rake idea is well-known in …

Room geometry inference is concerned with the localization of reflective boundaries in an
enclosed space. This paper outlines a method for inferring room geometry based on the …