IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
ASSP-L1: Acoustics, Speech and Signal Processing
Tue, 24 May, 16:00 - 18:00 China Time (UTC +8)
Tue, 24 May, 08:00 - 10:00 UTC
Location: Peony Junior Ballroom 4511
Session Co-Chairs: Amirafshar Moshtaghpour, Rosalind Franklin Institute and Daniel Romero, University of Agder
Track: Applied Signal Processing Systems

ASSP-L1.1: Compressive Scanning Transmission Electron Microscopy
Daniel Nicholls, Alex Robinson, Jack Wells, Mounib Bahri, Nigel Browning, University of Liverpool, United Kingdom of Great Britain and Northern Ireland; Amirafshar Moshtaghpour, Rosalind Franklin Institute, United Kingdom of Great Britain and Northern Ireland; Angus Kirkland, University of Oxford, United Kingdom of Great Britain and Northern Ireland

ASSP-L1.2: CHANNEL REDUNDANCY AND OVERLAP IN CONVOLUTIONAL NEURAL NETWORKS WITH CHANNEL-WISE NNK GRAPHS
David Bonet, Javier Ruiz-Hidalgo, Universitat Politècnica de Catalunya, Spain; Antonio Ortega, Sarath Shekkizhar, University of Southern California, United States of America

ASSP-L1.3: Robust TDOA Source Localization Based on Lagrange Programming Neural Network
Wenxin Xiong, Christian Schindelhauer, Dominik Jan Schott, Stefan Johann Rupitsch, University of Freiburg, Germany; Hing Cheung So, City University of Hong Kong, China

ASSP-L1.4: AERIAL BASE STATION PLACEMENT LEVERAGING RADIO TOMOGRAPHIC MAPS
Daniel Romero, Viet Pham, University of Agder, Norway; Geert Leus, TU Delft, Netherlands

ASSP-L1.5: APPROXIMATING THE LIKELIHOOD RATIO IN LINEAR-GAUSSIAN STATE-SPACE MODELS FOR CHANGE DETECTION
Kostas Tsampourakis, Víctor Elvira, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland

ASSP-L1.6: A LOW-PARAMETRIC MODEL FOR BIT-RATE ESTIMATION OF VVC RESIDUAL CODING
Fabian Brand, Christian Herglotz, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

ASSP-L1.7: EVALUATION OF VIDEO CODING FOR MACHINES WITHOUT GROUND TRUTH
Kristian Fischer, André Kaup, Friedrich-Alexander-University Erlangen-Nürnberg, Germany; Markus Hofbauer, Christopher Kuhn, Eckehard Steinbach, Technical University of Munich, Germany

ASSP-L1.8: Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class
Nakyeong Yang, Taegwan Kang, Kyomin Jung, Seoul National University, Korea, Republic of