TU1.P1: Poster Session I: Source localization and tracking, Special Session: AI-guided signal processing for efficient, controllable, and interpretable audio enhancement
Tue, 10 Sep, 10:00 - 12:00 Central European Time (UTC +2)
Location: Nedre Foyer
Session Type: Poster
Session Co-Chairs: Patrick Naylor, Imperial College London and Pejman Mowlaee, Jabra
Track: Acoustic echo and feedback suppression

TU1.P1.1: Binaural Direction-of-Arrival estimation incorporating head movement information

Erik Fleischhauer, Sebastian Nagel, Peter Jax, RWTH Aachen University, Germany, Germany

TU1.P1.3: INVESTIGATION ON SYSTEM BANDWIDTH FOR DNN-BASED BINAURAL SOUND LOCALISATION FOR HEARING AIDS

Jonas Van Damme, Stijn Kindt, Siyuan Song, Jasper Maes, Nilesh Madhu, Ghent university, Belgium

TU1.P1.4: Source Localization by Multidimensional Steered Response Power Mapping with Sparse Bayesian Learning

Wei-Ting Lai, Lachlan Birnie, Xingyu Chen, Amy Bastine, Thushara Abhayapala, Prasanga Samarasinghe, Australian National Univerity, Australia

TU1.P1.5: DIRECTION OF ARRIVAL ESTIMATION ON A SPHERE

Alexis Favrot, Christof Faller, Illusonic GmbH, Switzerland

TU1.P1.6: DSP-INFORMED BANDWIDTH EXTENSION USING LOCALLY-CONDITIONED EXCITATION AND LINEAR TIME-VARYING FILTER SUBNETWORKS

Shahan Nercessian, Alexey Lukin, Johannes Imort, Native Instruments, United States of America

TU1.P1.7: DYNAMIC AUDIO-VISUAL SPEECH ENHANCEMENT USING RECURRENT VARIATIONAL AUTOENCODERS

Zohre Foroushi, Richard Dansereau, Carleton University, Canada

TU1.P1.9: WEAKLY DOA GUIDED SPEAKER SEPARATION WITH RANDOM LOOK DIRECTIONS AND ITERATIVELY REFINED TARGET AND INTERFERENCE PRIORS

Alexander Bohlender, Ghent University - imec, Belgium; Ann Spriet, Wouter Tirry, Goodix Technology (Belgium) B.V., Belgium; Nilesh Madhu, Ghent University - imec, Belgium

TU1.P1.11: Informed FastICA: Semi-Blind Minimum Variance Distortionless Beamformer

Zbynek Koldovsky, Jiri Malek, Jaroslav Cmejla, Technical University of Liberec, Czechia; Stephen O'Regan, Naval Surface Warfare Center Carderock Division, United States of America

TU1.P1.12: Learning-based Multi-Channel Speech Presence Probability Estimation Using a Low-Parameter Model and Integration With MVDR Beamforming for Multi-Channel Speech Enhancement

Shuai Tao, Aalborg University, Denmark; Pejman Mowlaee, GN Audio, Denmark; Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark