Learn about innovative techniques like deep neural networks and acoustic unit discovery for realistic audience feedback in virtual events.
Authors: Tamay Aykut, Sureel, Palo Alto, California, USA; Markus Hofbauer, Technical University of Munich, Germany; Christopher Kuhn, Technical University of Munich, Germany; Eckehard Steinbach, Technical University of Munich, Germany; Bernd Girod, Stanford University, Stanford, California, USA. Table of Links Abstract & Introduction Related Works Virtual Audience Framework Conclusions & References IV.
John Smith, “11 comedians reflect on what they’ve learned from months of zoom and outdoor shows during covid-19,” Accessed on: 2021-05-17. Radosław Niewiadomski, Jennifer Hofmann, J´er ˆome Urbain, Tracey Platt, Johannes Wagner, and Piot Bilal, “Laugh-aware virtual agent and its impact on user amusement,” 2013, Publisher: s.n.
In this paper, we presented a virtual audience framework for online conferences. Performers such as actors, comedians, or musicians rely heavily on the feedback of their audience. This work addressed the issue of accumulating noise caused by multiple audio inputs that so far is being solved by requiring the audience to be muted.
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