Abstract
In this paper, we present a thorough and realistic analysis of audio conferencing over application-level multicast (ALM).
Through flexibility and ease-of-deployment, ALM is a compelling alternative group-communication technique to IP Multicast â which has yet to see wide-scale deployment in the Internet. However, proposed ALM techniques suffer from inherent latency inefficiencies, which we show, through realistic simulation and exploration of perceived quality in multi-party conversation, to be greatly problematic for the realisation of truly-scalable audio-conferencing systems over ALM.
In this work, we propose to adapt dynamically the application-level distribution structure to the conversational pattern of the audio conference. The contribution of this paper is threefold: we develop a novel perceptual quality model for multi-party audio conversations; we provide dynamic adaptation via a simple next-speaker prediction technique and we validate the proposed approach by using a large and detailed corpus of real multi-party conversations.
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Egi, N., Blundell, N., Mathy, L. (2006). Efficient Overlay Audio Conferencing. In: Boavida, F., Plagemann, T., Stiller, B., Westphal, C., Monteiro, E. (eds) NETWORKING 2006. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems. NETWORKING 2006. Lecture Notes in Computer Science, vol 3976. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11753810_56
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DOI: https://doi.org/10.1007/11753810_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34192-5
Online ISBN: 978-3-540-34193-2
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