The Design of VoIP Systems with High Perceptual Conversational Quality - Ubiquitous Multimedia Computing - page 68

9. P. T. Brady, “Effects of transmission delay on conversational behaviour on echo-
free telephone circuits,” Bell System Technical Journal , vol. 50, no. 1, pp. 115-134,
January 1971.
10. B. Sat, Z. X. Huang, and B. W. Wah, “The design of a multi-party VoIP confer-
encing system over the Internet,” in Proc. IEEE Int'l Symposium on Multimedia ,
Taichung, Taiwan, December 2007, pp. 3-10.
11. International Telecommunication Union, “ITU-T G-Series recommendations,”
http://www.itu.int/rec/T-REC-G/en
12. International Telecommunication Union, “ITU-T P-Series recommendations,”
http://www.itu.int/rec/T-REC-P/en
13. L. Sun and E. Ifeachor, “New models for perceived voice quality prediction and
their applications in playout buffer optimization for VoIP networks,” in Proc.
IEEE Communications , vol. 3, 2004, pp. 1478-1483.
14. L. Sun and E. Ifeachor, “Voice quality prediction models and their applica-
tions in VoIP networks,” IEEE Trans. on Multimedia , vol. 9, no. 4, pp. 809-820,
2006.
15. C. Boutremans and J.-Y. L. Boudec, “Adaptive joint playout buffer and FEC
adjustment for Internet telephony,” in Proc. IEEE INFOCOM , vol. 1, 2003,
pp. 652-662.
16. A. Takahashi, H. Yoshino, and N. Kitawaki, “Perceptual QoS assessment tech-
nologies for VoIP,” IEEE Communications Magazine , pp. 28-34, July 2004.
17. A. P. Markopoulou, F. A. Tobagi, and M. J. Karam, “Assessing the quality of voice
communications over Internet backbones,” IEEE/ACM Trans. on Networking ,
vol. 11, no. 5, pp. 747-760, 2003.
18. B. Sat and B. W. Wah, “Evaluating the conversational voice quality of the
Skype, Google-Talk, Windows Live, and Yahoo Messenger VoIP systems,” IEEE
Multimedia , pp. 46-58, January-March 2009.
19. J. L. Flanagan, Speech Analysis, Synthesis and Perception . New York: Springer, 1972.
20. B. Sat and B. W. Wah, “Statistical testing of off-line comparative subjective eval-
uations for optimizing perceptual conversational quality in voip,” in Proc. IEEE
Int'l Symposium on Multimedia , pp. 424-431, December 2008.
21. P. L. Lanzi, “Learning classifier systems: Then and now,” Evolutionary Intelligence ,
vol. 1, pp. 63-82, 2008.
22. C.-C. Chang and C.-J. Lin, “A library for support vector machines,” http://www.
csie.ntu.edu.tw/~cjlin/libsvm/.
23. Z. X. Huang, B. Sat, and B. W. Wah, “Automated learning of play-out scheduling
algorithms for improving the perceptual conversational quality in multi-party
VoIP,” in Proc. IEEE Int'l Conf. on Multimedia and Expo , Hannorer, Germany,
July 2008, pp. 493-496.
24. J. Suzuki and M. Taka, “Missing packet recovery techniques for low-bit-rate
coded speech,” IEEE Journal on Selected Areas in Communications , vol. 7, no. 5,
pp. 707-717, June 1989.
25. N. S. Jayant and S. W. Christensen, “Effects of packet losses in waveform coded
speech and improvements due to odd-even sample-interpolation procedure,”
IEEE Trans. on Communications , vol. 29, no. 2, pp. 101-110, February 1981.
26. R. C. F. Tucker and J. E. Flood, “Optimizing the performance of packet-switch
speech,” in IEEE Conf. on Digital Processing of Signals in Communications ,
Loughborough University, April 1985, pp. 227-234.