A source and channel rate adaptation algorithm for AMR in VoIP using the Emodel
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
A generic quantitative relationship between quality of experience and quality of service
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
Color-plus-depth level-of-detail in 3D tele-immersive video: a psychophysical approach
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Saving bitrate vs. pleasing users: where is the break-even point in mobile video quality?
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A simulation study of adaptive voice communications on IP networks
Computer Communications
Lab experiment vs. crowdsourcing: a comparative user study on Skype call quality
Proceedings of the 9th Asian Internet Engineering Conference
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The effective end-to-end transport of delay-sensitive voice data has long been a problem in multimedia networking. One of the major issues is determining the sending rate of real-time VoIP streams such that the user experience is maximized per unit network resource consumed. A particularly interesting complication that remains to be addressed is that the available bandwidth is often dynamic. Thus, it is unclear whether a marginal increase warrants better user experience. If a user naively tunes the sending rate to the optimum at any given opportunity, the user experience could fluctuate. To investigate the effects of magnitude and frequency of rate changes on user experience, we recruited 127 human participants to systematically score emulated Skype calls with different combinations of rate changes, including varying magnitude and frequency of rate changes. Results show that 1) the rate change frequency affects the user experience on a logarithmic scale, echoing Weber-Fechner's Law [1], 2) the effect of rate change magnitude depends on how users perceive the quality difference, and 3) this study derives a closed-form model of user perception for rate changes for Skype calls.