Deep neural networks have recently led to promising results for the task of multiple sound
source localization. Yet, they require a lot of training data to cover a variety of acoustic …

Today, we are often surrounded by a lot of acoustic transceivers, such as smartphones,
tablets, and smart speakers. If they constitute an acoustic transceiver network (ATN), they …

The audio-visual direction of arrival (DOA) estimation has demonstrated superior
performance recently. In this paper, we present a novel audio-visual multi-speaker DOA …

Microphone arrays are widely applied in practical applications. In an array, each channel
conventionally contains an acoustic sensor and a following signal conditioning circuit (SCC) …

In this work, a multiple speech source separation method is proposed based on single
source zone detection and linearly constrained minimum variance (LCMV) beamformer …

Robot perception is the ability of a robotic platform to perceive its environment by the means
of sensor inputs, eg, laser, IMU, motor encoders, and so on. Much like humans, robots are …

This paper introduces an ensemble of discriminators that improves the accuracy of a domain
adaptation technique for the localization of multiple sound sources. Recently, deep neural …

El objetivo de este proyecto es el de buscar una solución para dos de las tareas clave de
audición robótica, la localización de varios interlocutores y la separación de su discurso. Lo …