Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks

  • Gerardo Rubino
  • Pierre Tirilly
  • Martın Varela
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4131)


Quantifying the quality of a video or audio transmission over the Internet is usually a hard task, as based on the statistical processing of the evaluations made by a panel of humans (the corresponding and standardized area is called subjective testing). In this paper we describe a methodology called Pseudo-Subjective Quality Assessment (PSQA), based on Random Neural Networks, which is able to perform this task automatically, accurately and efficiently. RNN had been chosen here because of their good performances over other possibilities; this is discussed in the paper. Some new insights on PSQA’s use and performance are also given. In particular we discuss new results concerning PSQA–based dynamic quality control, and conversational quality assessment.


Loss Rate Forward Error Correction Voice Quality Subjective Score Packet Network 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gerardo Rubino
    • 1
  • Pierre Tirilly
    • 1
  • Martın Varela
    • 2
  1. 1.Inria/IrisaRennes
  2. 2.SICS 

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