11 papers
Clustering of Acoustic Environments with Variational Autoencoders for Hearing Devices
Luan VinÃcius 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…
Unsupervised Variational Acoustic Clustering
Luan VinÃcius 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…
Blind Turbo Demodulation for Differentially Encoded OFDM with 2D Trellis Decomposition
Chin-Hung Chen, Yan Wu, Wim van Houtum +1
Digital Audio Broadcasting (DAB)-like systems employ differentially encoded (DE) phase-shift keying (PSK) for transmission. While turbo-DE-PSK receivers offer substantial performan…
Phase-Aware Code-Aided EM Algorithm for Blind Channel Estimation in PSK-Modulated OFDM
Chin-Hung Chen, Ivana Nikoloska, Wim van Houtum +2
This paper presents a fully blind phase-aware expectation-maximization (EM) algorithm for OFDM systems with the phase-shift keying (PSK) modulation. We address the well-known local…
Equivalence of Serial and Parallel A-Posteriori Probabilities in the Decoding of DAB Systems
Andrea Di Giusto, Wim van Houtum, Alberto Ravagnani +1
Motivated by applications to digital audio broadcasting (DAB) systems, we study the a-posteriori probabilities (APPs) of the coded and information bits of the serial concatenation…
Target Speaker Selection for Neural Network Beamforming in Multi-Speaker Scenarios
Luan VinÃcius 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…