Non-intrusive speech quality prediction in VoIP networks using a neural network approach

Neurocomputing

Volumn 72, Issue 10-12, 2009, Pages 2595-2608

  AL Akhras, M ^a   Zedan, H ^b   John, R ^b   ALMomani, I ^a  

^a UNIVERSITY OF JORDAN   (Jordan)

^b DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

Artificial neural network; E Model; Non intrusive; Perceptual evaluation of speech quality; Speech quality; VoIP

Indexed keywords

ARTIFICIAL NEURAL NETWORK; E-MODEL; NON-INTRUSIVE; PERCEPTUAL EVALUATION OF SPEECH QUALITY; SPEECH QUALITY; VOIP;

BACKPROPAGATION; ECONOMIC ANALYSIS; INTERNET PROTOCOLS; INTERNET TELEPHONY; QUALITY CONTROL; VOICE/DATA COMMUNICATION SYSTEMS; WIRELESS TELECOMMUNICATION SYSTEMS;

NEURAL NETWORKS;

ACCURACY; ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; INFORMATION PROCESSING; INFORMATION SERVICE; INFORMATION TECHNOLOGY; INTERNET PROTOCOL; PREDICTION; PRIORITY JOURNAL; QUALITY CONTROL; STATISTICAL MODEL; TELECOMMUNICATION;

EID: 67349225947     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.10.019     Document Type: Article

References (26)

1. Collins D. Carrier Grade Voice over IP. second ed. (2003), McGraw-Hill Companies, New York
2. Khasnabish B. Implementing Voice over IP. second ed. (2003), Wiley-Interscience, New York
3. Takahashi A., Yoshino H., and Kitawaki N. Perceptual QoS assessment technologies for VoIP. IEEE Communications Magazine 42 7 (2004) 28-34
4. ITU-T, Recommendation P.800-methods for subjective determination of transmission quality, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), August 1996.
5. ITU-T, Recommendation P.800.1-mean opinion score (MOS) terminology, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), March 2003.
6. A. Takahashi, Opinion model for estimating conversational quality of voip, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, 17-21 May 2004, pp. iii-1072-1075.
7. ITU-T, Recommendation P.862-perceptual evaluation of speech quality (PESQ): an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), February 2001.
8. ITU-T, Recommendation P.862-perceptual evaluation of speech quality (PESQ): an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs, Amendment 2: revised Annex A: Reference implementations and conformance testing for Recommendations P.862, P.862.1 and P.862.2, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), November 2003.
9. A. Rix, J. Beerends, M. Hollier, A. Hekstra, Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, 7-11 May 2001, pp. 749-752.
10. ITU-T, Recommendation P.862.1-mapping function for transforming P.862 raw result scores to MOS-LQO, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), March 2005.
11. E.E. Zurek, J. Leffew, W.A. Moreno, Objective evaluation of voice clarity measurements for VoIP compression algorithms, in: Proceedings of the Fourth IEEE International Caracas Conference on Devices, Circuits and Systems, 17-19 April 2002, 2002, pp. T033-1-T033-6.
12. ITU-T, Recommendation G.107-the E-model, a computational model for use in transmission planning, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), March 2005.
13. L. Sun, Speech quality prediction for voice over Internet protocol networks, Ph.D. Thesis, School of Computing, Communications and Electronics, University of Plymouth, UK, January 2004.
14. Allnatt J. Subjective rating and apparent magnitude. International Journal of Man-Machine Studies 7 (1975) 801-816
15. James J.H., Chen B., and Garrison L. Implementing VoIP: a voice transmission performance progress report. IEEE Communications Magazine 42 (2004) 36-41
16. A.P. Markopoulou, F.A. Tobagi, M.J. Karam, Assessment of VoIP quality over Internet backbones, in: IEEE Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, Proceedings, INFOCOM 2002, vol. 1, 23-27 June 2002, pp. 150-159.
17. ITU-T, Recommendation G.113 Appendix I-provisional planning values for the equipment impairment factor Ie and packet-loss robustness factor Bpl, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), May 2002.
18. ITU-T, Recommendation G.729-coding of speech at 8 kbit s using conjugate-structure algebraic-code-excited linear-prediction (CS-ACELP), International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), March 1996.
19. L. Ding, R.A. Goubran, Assessment of effects of packet loss on speech quality in VoIP, in: Proceedings of the 2nd IEEE International Workshop on Haptic, Audio and Visual Environments and Their Applications, 20-21 September 2003, 2003, pp. 49-54.
20. L. Ding, R.A. Goubran, Speech quality prediction in VoIP using the extended E-model, in: IEEE Global Telecommunications Conference, GLOBECOM '03, vol. 7, 2003, pp. 3974-3978.
21. L. Sun, E.C. Ifeachor, Prediction of perceived conversational speech quality and effects of playout buffer algorithms, IEEE International Conference on Communications, ICC '03, vol. 1, 11-15 May 2003, 2003, pp. 1-6.
22. Sun L., and Ifeachor E.C. Voice quality prediction models and their application in VoIP networks. IEEE Transactions on Multimedia 8 (2006) 809-820
23. L. Sun, E. Ifeachor, New models for perceived voice quality prediction and their applications in playout buffer optimization for VoIP networks, in: IEEE International Conference on Communications, vol. 3, 20-24 June 2004, 2004, pp. 1478-1483.
24. ITU-T, Recommendation G.107-the E-model, a computational model for use in transmission planning, International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T), March 2000.
25. Haykin S., and Simon. Neural Networks: A Comprehensive Foundation. second ed. (1998), Prentice-Hall, Englewood Cliffs, NJ
26. MathWorks, Levenberg-Marquardt (trainlm)-Speed and Memory Comparison.