International Workshop on Machine Learning for Multimodal Interaction

MLMI 2004: Machine Learning for Multimodal Interaction pp 46-55

Zakim – A Multimodal Software System for Large-Scale Teleconferencing

  • Max Froumentin
Conference paper

DOI: 10.1007/978-3-540-30568-2_5

Volume 3361 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Froumentin M. (2005) Zakim – A Multimodal Software System for Large-Scale Teleconferencing. In: Bengio S., Bourlard H. (eds) Machine Learning for Multimodal Interaction. MLMI 2004. Lecture Notes in Computer Science, vol 3361. Springer, Berlin, Heidelberg

Abstract

This paper describes Zakim, a multimodal teleconference system used at the World Wide Web Consortium (W3C). The main requirement that differentiates Zakim from other resarch projects was that the system had to be robust and be universally accessible, as W3C teleconferences run around the clock and are accessed by hundreds of people weekly. The Internet Relay Chat was chosen as the control protocol for the telephone bridge, allowing for easy access to a majority participants. The second part of the paper describes how this system has dramatically improved the way teleconferences are run.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Max Froumentin
    • 1
  1. 1.World Wide Web Consortium