Abstract
The quality of the transmitted voice in the Voice over IP (VoIP) service should be investigated from the end-user perspective, by estimating perceptional metrics like Mean Opinion Score (MOS). The research methodology of that kind is a particular transfer of the specific technical parameters, related to the IP data transmission, to level of service acceptance by an end-user. The article presents the research results obtained by the simulation of the developed MOS estimation algorithm based on the modified neural Self-Organizing Maps (SOM) structure.
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References
ITU-T Recommendation P.800: Methods for Subjective Determination of Speech Quality. ITU-T (1996)
Bouch, A., Sasse, M.A.: Why value is everything: A user-centered approach to internet quality of service and pricing. In: Wolf, L., Hutchinson, D.A., Steinmetz, R. (eds.) IWQoS 2001. LNCS, vol. 2092, p. 59. Springer, Heidelberg (2001)
Cole, R., Rosenbluth, J.: Voice over IP Performance Monitoring. ACM Computer Communication Review 31(2) (April 2001)
ITU-T Recommendation P.920: Interactive test methods for audiovisual communications. ITU-T (2000)
Understanding Codecs: Complexity, Hardware Support, MOS and Negotiation. CISCO (2007), http://www.cisco.com/warp/public/788/voip/codec_complexity.html#mos
Colomes, C., Varela, M., Gicquel, J-C.: Subjective Audio Tests: Quality of Some Codecs When Used in IP Networks. In: Proceedings of the Measurement of Speech and Audio Quality in Networks, Prague (June 2004)
Mohamed, S., Rubino, G., Varela, M.: A method for quantitative evaluation of audio quality over packet networks and its comparison with existing techniques. In: Proceedings of the Measurement of Speech and Audio Quality in Networks, Praque (2004)
ITU-T Recommendation G.107: The E-model, a Computational Model for Use in Transmission Planning. ITU-T (2000)
Wang, S., Sekey, A., Gersho, A.: An Objective Measure for Predicting Subjective Quality of Speech Coders. IEEE Journal on Selected Areas in Communications 10(5) (1992)
Hall, T.A.: Objective Speech Quality Measures for Internet Telephony. In: Proceedings of SPIE, vol. 4522 (2001)
Estepa, A., Estepa, R., Vozmediano, J.: On the Suitability of the E-Model to VoIP Networks. In: Seventh International Symposium on Computers and Communications, IEEE ISCC 2002, Taormina (July 2002)
ITU-T Recommendation G.109: Definition of categories of speech transmission quality. ITU-T (1999)
Sun, L., Ifeachor, E.: Learning Models for Non-intrusive Prediction of Voice Quality for IP Networks. IEEE Transactions on Neural Networks (2004)
Mohamed, S.: Automatic Evaluation of Real-Time Multimedia Quality: a Neural Network Approach. PhD thesis, INRIA/IRISA, Univ. Rennes I (2003)
Rubino, G., Varela, M., Bonnin, J-M.: Controlling Multimedia QoS in the Future Home Network Using the PSQA Metric. The Computer Journal 49(2) (2006)
Kohonen, T.: Self-Organizing Maps. Springer Series in Information Science. Springer, Heidelberg (1995)
Goppert, J., Rosennstiel, W.: Regularized SOM-Training; A solution to the Topology-approximation dilemma. In: Proceedings of International Conference on Neural Networks, Washington (1996)
Przylucki, S., Wojcik, W., Plachecki, K., Golec, T.: An analysis of self-organization process for data classification in multisensor systems. In: Proceedings of SPIE, Optoelectronic and Electronic Sensor V, vol. 5124 (2003)
Przylucki, S., Plachecki, K., Duk, M.: New algorithm for self-organizing neural classifiers suitable for easy hardware implementation. In: Proceedings of SPIE, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, vol. 5125 (2003)
Monitoring VoIP with Cisco Network Analysis Module. White Paper, Cisco System, Inc. (2009)
WANem 2.0 Wide Area Network Emulator. TATA Consultancy Services, Performance Engineering Research Centre (2008)
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Przylucki, S. (2011). Assessment of the QoE in Voice Services Based on the Self-Organizing Neural Network Structure. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2011. Communications in Computer and Information Science, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21771-5_16
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DOI: https://doi.org/10.1007/978-3-642-21771-5_16
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