The IEEE’s flagship conference within signal processing ICASSP 2020 was held May 4-8 2020, and it was supposed to be in beautiful Barcelona in Spain. However, due to Covid-19, the conference was all virtual this year with videos of all presentations. This year, Audio Analysis Lab members presented the following papers:
- Title: CONVEX OPTIMISATION-BASED PRIVACY-PRESERVING DISTRIBUTED AVERAGE CONSENSUS IN WIRELESS SENSOR NETWORKS Authors: Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
- Title: ROBUST FUNDAMENTAL FREQUENCY ESTIMATION IN COLOURED NOISE Authors: Alfredo Esquivel Jaramillo, Andreas Jakobsson, Jesper Kjær Nielsen, Mads Græsbøll Christensen
- Title: A FAST REDUCED-RANK SOUND ZONE CONTROL ALGORITHM USING THE CONJUGATE GRADIENT METHOD Authors: Liming Shi, Taewoong Lee, Lijun Zhang, Jesper Kjær Nielsen, Mads Græsbøll Christensen
- Title: AUTOREGRESSIVE PARAMETER ESTIMATION WITH DNN-BASED PRE-PROCESSING Authors: Zihao Cui, Changchun Bao, Jesper Kjær Nielsen, Mads Græsbøll Christensen
Aside from these presentations, the Audio Analysis Lab also presented the following demo:
- Title: User Tuneable Sound Zones Authors: Taewoong Lee, Liming Shi, Jesper Kjær Nielsen, Mads Græsbøll Christensen
All talks are available on the ICASSP 2020 virtual platform and on the Audio Analysis Lab’s YouTube Channel.