4 citations · 5 across the 6 of their papers we have counts for
7 papers
Physics-Guided Variational Model for Unsupervised Sound Source Tracking
Luan Vinícius Fiorio, Ivana Nikoloska, Bruno Defraene +3
Sound source tracking is commonly performed using classical array-processing algorithms, while machine-learning approaches typically rely on precise source position labels that are…
Hybrid Real- and Complex-Valued Neural Network Architecture for Speech Enhancement
Luan Vinícius Fiorio, Alex Young, Ronald M. Aarts
This paper investigates hybrid real- and complex-valued neural networks for monaural speech enhancement. While complex-valued models can process time-frequency representations nati…
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young, Luan Vinícius Fiorio, Bo Yang +3
We propose a \emph{hybrid} real- and complex-valued \emph{neural network} (HNN) architecture, designed to combine the computational efficiency of real-valued processing with the ab…
Target Speaker Selection for Neural Network Beamforming in Multi-Speaker Scenarios
Luan Vinícius Fiorio, Bruno Defraene, Johan David +4
We propose a speaker selection mechanism (SSM) for the training of an end-to-end beamforming neural network, based on recent findings that a listener usually looks to the target sp…
Analysis of Impulsive Interference in Digital Audio Broadcasting Systems in Electric Vehicles
Chin-Hung Chen, Wen-Hung Huang, Boris Karanov +3
Recently, new types of interference in electric vehicles (EVs), such as converters switching and/or battery chargers, have been found to degrade the performance of wireless digital…
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
Boris Karanov, Chin-Hung Chen, Yan Wu +2
We developed machine learning approaches for data-driven trellis-based soft symbol detection in coded transmission over intersymbol interference (ISI) channels in presence of burst…
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
Chin-Hung Chen, Boris Karanov, Wim van Houtum +3
Recently, a data-driven Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm tailored to channels with intersymbol interference has been introduced. This so-called BCJRNet algorithm utilizes…