@inproceedings{fb8c10db86604b3fa63788105d73ca6a,
title = "Network resource allocation for perceptually based unequal packet protection in voice communication",
abstract = "We address the problem of optimizing resource allocation for Perceptually based Unequal Packet Protection (PUPP) in a packet based voice carrying network. For that purpose, we design a novel real-time working Perceptually Based Classifier (PBC) optimizing the assignment of voice packets to either a Premium (Pch) or an Ordinary (Och) transmission Channel with regard to packet perceptual importance. In particular, our PBC is based on Sliding Window optimization (SWO) and implement PESQa, an improved method to real-time estimation of speech quality. Based on this PBC and a Differentiated Service (DS) implementation of the Pch/Och, objective results indicate that 70% premium packet assignments optimizes performance over a broad range of loss scenarios on a bottleneck link. Additionally, packet loss statistics gives a clear indication on criteria for optimizing PUPP Pch/Och.",
keywords = "multimedia communications, signal processing for networking",
author = "Steffen Proestholm and Jensen, {Soren Skak} and Andersen, {S{\"o}ren Vang} and Murthi, {Manohar N.}",
year = "2006",
language = "English",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "437",
booktitle = "2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol V, Proceedings: AUDIO AND ELECTROACOUSTICS, MULTIMEDIA SIGNAL PROCESSING, MACHINE LEARNING FOR SIGNAL PROCESSING SPECIAL SESSIONS",
address = "United States",
note = "IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006, ICASSP 2006 ; Conference date: 14-05-2006 Through 19-05-2006",
}