Demo and Poster Session

Monday, Sept. 5th, 15:00 – 17:00


D 1 ASNSIG – A Signal Generator for Ad-Hoc Acoustic Sensor Networks in Smart Home Environments
  Tobias Gburrek, Jörg Schmalenströer, Janek Ebbers, and Reinhold Häb-Umbach
  Parderborn University
D 2 Platform for Distributed Processing in Dynamic Acoustic Sensor Networks
  Haitham Afifi1, Holger Karl1, Tobias Gburrek2, Jörg Schmalenströer2, Janek Ebbers2, and Reinhold Häb-Umbach2
  1Hasso-Plattner-Institut, 2Paderborn University
D 3 Distributed Synchronization for Ad-Hoc Acoustic Sensor Networks
  Aleksej Chinaev and Gerald Enzner
  Carl-von-Ossietzky University of Oldenburg
D 4 IVA-based Real-time Source Extraction of a Moving Speaker
  Johannes Zeitler and Andreas Brendel
  Friedrich-Alexander-Universität Erlangen-Nürnberg
D 5 Privacy-preserving Feature Extraction for Audio Signal Classi cation Tasks in Acoustic Sensor Networks
  Luca Becker1, Haitham Afifi2 , and Rainer Martin1
  1Ruhr-Universität Bochum, 2Hasso-Plattner-Institut

Poster Presentations

P 1 Distributed recursive estimation of norm values for non-triviality constraint in adaptive distributed blind system identification
  Matthias Blochberger,  KU Leuven
P 2 Low latency deep joint source channel audio coding
  Mohammad Bokaei,  Aalborg University
P 3 Sound zone control with variable span trade-off filter and kernel based sound field interpolation
  Jesper Brunnström,  KU Leuven
P 4 Sound zones creation using prior knowledge of room impulse responses
  José Miguel Cadavid Tobón,  Aalborg University
P 5 A reduced-communication distributed steered response power approach to source localization in wireless acoustic sensor networks
  Bilgesu Çakmak,  KU Leuven
P 6 Deep complex-valued convolutional-recurrent networks for single source DOA estimation
  Eric Grinstein,  Imperial College London
P 7 Dereverberation in acoustic sensor networks using the weighted prediction error algorithm with microphone-dependent prediction delays
  Anselm Lohmann,  Carl-von-Ossietzky University of Oldenburg
P 8 Two-stage voice modification for privacy enhancement
  Franceso Nespoli,  Nuance Communications Inc.
P 9 Binaural speech enhancement using STOI-optimal masks
  Vikas Tokala,  Imperial College London