9 citations · 10 across the 10 of their papers we have counts for
11 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…
Clustering of Acoustic Environments with Variational Autoencoders for Hearing Devices
Luan Vinícius Fiorio, Ivana Nikoloska, Wim van Houtum +1
Traditional acoustic environment classification relies on: i) classical signal processing algorithms, which are unable to extract meaningful representations of high-dimensional dat…
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…
Categorical Unsupervised Variational Acoustic Clustering
Luan Vinícius Fiorio, Ivana Nikoloska, Ronald M. Aarts
We propose a categorical approach for unsupervised variational acoustic clustering of audio data in the time-frequency domain. The consideration of a categorical distribution enfor…
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…
Unsupervised Variational Acoustic Clustering
Luan Vinícius Fiorio, Bruno Defraene, Johan David +3
We propose an unsupervised variational acoustic clustering model for clustering audio data in the time-frequency domain. The model leverages variational inference, extended to an a…
Spectral Masking with Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement
Luan Vinícius Fiorio, Boris Karanov, Bruno Defraene +4
We propose and analyze the use of an explicit time-context window for neural network-based spectral masking speech enhancement to leverage signal context dependencies between neigh…
Data-driven estimation of system norms via impulse response
L. V. Fiorio, C. L. Remes, L. Campestrini +1
This paper proposes a method for estimating the norms of a system in a pure data-driven fashion based on their identified Impulse Response (IR) coefficients. The calculation of nor…
Virtual reference feedback tuning with robustness constraints: A swarm intelligence solution
L. V. Fiorio, C. L. Remes, P. Wheeler +1
The simplified modeling of a complex system allied with a low-order controller structure can lead to poor closed-loop performance and robustness. A feasible solution is to avoid th…
Switched Control Applied to a Totem-Pole Bridgeless Rectifier for Power Factor Correction
L. V. Fiorio, T. J. M. Dezuo, Y. R. de Novaes
The wide range of operation of bridgeless rectifiers requires a control technique that guarantee robustness. Linear Power Factor Correction (PFC) control techniques, although effec…