DYNA

Cricelli, L., Di Pillo, F., Gastaldi, M. and Levialdi, N., Wholesale competition in the international telecommunications system. Networks and Spatial Economics, 5(3), pp. 261-277, 2005. DOI: 10.1007/s11067-005-3035-1

Nucciarelli, A., Gastaldi, M. and Levialdi, N.G., Asymmetric competition and collection rates differentials: determinants of prices in international telephone service markets. NETNOMICS: Economic Research and Electronic Networking, 11(3), pp. 315-329, 2010. DOI: 10.1007/s11066-009-9042-5

Beckert, S. and Mauldin, A., Telegeography international telecom trends seminar. Telegeography, PTC2009. 2009.

Beckert, S. and Schoonover, E., Global traffic, bandwidth and pricing trends and wholesale market outlook. Telegeography, PTC07, 2007.

Beckert, S., Stronge, T. and Schult, R., Telegeography international telecom trends seminar. Telegeography, PTC2010, 2010.

CheckMyRoutes, CheckmyroutesTM, [online]. 2012. [accessed on June 2012]. Available at: http://www.checkmyroutes.com.

Tata. False answer supervision. [online]. [accessed on July 2014]. Available at: http://www.tatacommunications.lk/providers/voice/ false-answer-supervision. 2014.

Collins, D., Carrier grade voice over IP. McGraw-Hill, 2001.

Tektronix., Common VoIP service quality thresholds: Tektronix reference chart. [online]. 2007. [accessed on June 2012].

De, B.S., Joshi, P.P., Sahdev, V. and Callahan, D., End-to-end voice over IP testing and the effect of QoS on signaling. On System Theory, 2003. Proceedings of the 35th Southeastern Symposium on. IEEE, pp. 142-147, 2003. DOI: 10.1109/SSST.2003.1194546

Broß, J.F. and Meinel, C., Can VoIP live up to the QoS standards of traditional wireline telephony?. Telecommunications, 2008. AICT'08. Fourth Advanced International Conference on. IEEE, pp. 126-132, 2008.

Voznak, M. and Rozhon, J., SIP back to back user benchmarking. wireless and mobile communications (ICWMC), 2010 6th International Conference on. IEEE, pp. 92-96, 2010.

Subramonian, V., Cheung, E. and Karam, G., Automated testing of a converged conferencing application. Automation of Software Test, 2009. AST'09. ICSE Workshop on. IEEE, pp. 101-105, 2009. DOI: 10.1109/IWAST.2009.5069047

Prasad, R.V., Sangwan, A., Jamadagni, H.S., Chiranth, M.C., Sah, R. and Gaurav, V., Comparison of voice activity detection algorithms for VoIP. Computers and Communications, 2002. Proceedings. ISCC Seventh International Symposium on. IEEE, 2002. pp. 530-535, 2002.

Yang, X., Tan, B., Ding, J., Zhang, J. and Gong, J., Comparative study on voice activity detection algorithm. In: Electrical and Control Engineering (ICECE), 2010 International Conference on. IEEE, pp. 599-602, 2010. DOI: 10.1109/iCECE.2010.153

Nica, A.C., Automatic Silence/Unvoiced/Voiced classification of speech using a modified teager energy feature. Energy (RMSE), [online]. 4(1), pp. 2. Available at: http://dl.acm.org/citation.cfm?id=1981459.1981470.

Ohrtman, F., Softswitch: Architecture for VoIP. McGraw-Hill Professional, 2007.

Conway, A.E., A passive method for monitoring voice-over-IP call quality with ITU-T objective speech quality measurement methods. In: Communications, 2002. ICC 2002. IEEE International Conference on. IEEE, pp. 2583-2586, 2002. DOI: 10.1109/ICC.2002.997309

Minacom., Common voip service quality thresholds: Minacom reference chart. [online]. 2006. [accessed on June 2012]. Available at: http://www.teracomtraining.com/ref/voip-service-quality-metrics-and-thresholds.pdf

Shukla, A., Tiwari, R. and Kala, R., Real life applications of soft computing. CRC Press, 2010. DOI: 10.1201/EBK1439822876

Boswell, D., Introduction to support vector machines: University of Carlifornia. San Diego, [online]. [accessed on June 2012]. Available at: http://dustwell.com/PastWork/IntroToSVM.pdf. 2002.

Ivanciuc, O., Applications of support vector machines in chemistry. Reviews in Computational Chemistry, 23, 291 P., 2007.

McKinney, M.F. and Breebaart, J., Features for audio and music classification. In: ISMIR. pp. 151-158, 2003.

Lu, L., Zhang, H.J. and Li, S.Z., Content-based audio classification and segmentation by using support vector machines. Multimedia systems, 8(6), pp. 482-492, 2003. DOI: 10.1007/s00530-002-0065-0

De Poli, G. and Mion, L., Algorithms for sound and music computing. Creative Commons, 2006.

Hsu, C.W., Chang, C.C. and Lin, C.J., A practical guide to support vector classification. [online]. 2003. Available at: http://www.csie.ntu.edu.tw/~cjlin/papers.htm.

Konar, A., Artificial intelligence and soft computing: Behavioral and cognitive modeling of the human brain. CRC Press, 1999. DOI: 10.1201/9781420049138

Witten, I.H. and Frank, E., Data mining: Practical machine learning tools and techniques. 3rd ed. Morgan Kaufmann, 2011.

Chang, C. and Lin, C., LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2(3), 27 P., 2011.

Ramırez, J., Yélamos, P., Górriz, J.M., Segura, J.C. and Garcıa, L., Speech/non-speech discrimination combining advanced feature extraction and SVM learning. Proceedings of Interspeech 2006, 2006.

Gazzah, S. and Ben, N., Neural networks and support vector machines classifiers for writer identification using arabic script. Int. Arab J. Inf. Technol., [online]. 5(1), pp. 92-101, 2008. Available at: http://dblp.uni-trier.de/db/journals/iajit/iajit5.html#GazzahA08.

De Pessemier, T., Stevens, I., De Marez, L., Martens, L. and Joseph, W., Analysis of the quality of experience of a commercial voice-over-IP service. Multimedia Tools and Applications, 74(15), pp. 5873-5895, 2015. DOI: 10.1007/s11042-014-1895-4

Ganjam, A., Sekar, V. and Zhang, H., In-Situ quality of experience monitoring: The case for prioritizing coverage over fidelity. White-paper submission, CMU/Conviva, 2., 2016.

Papadopouli, M., On user-centric QoE prediction for VoIP and video based on machine-learning. White-paper submission, U. of Crete/ICS-FORTH, 2, 2015.

Zhang, W., Chang, Y., Liu, Y. and Tian, Y., Perceived QoS assessment for Voip networks. In: Communication Technology (ICCT), 15th IEEE International Conference, pp. 707-711, 2013.

De Pessemier, T., Stevens, I., De Marez, L., Martens, L. and Joseph, W., Quality assessment and usage behavior of a mobile voice-over-IP service. Telecommunication Systems, 61(3), pp. 417-432, 2016. DOI: 10.1007/s11235-014-9961-9

Jelassi, S., Rubino, G., Melvin, H., Youssef, H. and Pujolle, G., Quality of experience of VoIP service: A survey of assessment approaches and open issues. IEEE Communications Surveys & Tutorials,14(2), pp. 491-513, 2012. DOI: 10.1109/SURV.2011.120811.00063

Andrews, M., Quality of experience in wireless pricing: Some research directions. White-paper submission, Alcatel-Lucent Bell Labs, 4., 2015.

Carvalho, L.S.G.D. and Mota, E.D.S., Survey on application-layer mechanisms for speech quality adaptation in VoIP. ACM Computing Surveys (CSUR), 45(3), 36 P., 2013.

Singh, H.P., Singh, S., Singh, J. and Khan, S.A., VoIP: State of art for global connectivity—A critical review. Journal of Network and Computer Applications, 37, pp. 365-379, 2014. DOI: 10.1016/j.jnca.2013.02.026

International Telecommunication Union. Definitions of terms related to quality of service (QoS). ITU-T Rec. E.800. September, 2008.

ITU, G.107: The e-model: A computational model for use in transmission planning.

Reichl, P., Egger, S., Schatz, R. and D’Alconzo, A., The logarithmic nature of QoE and the role of the Weber-Fechner law in QoE assessment, in: Communications (ICC), 2010 IEEE International Conference on. IEEE, pp. 1-5, 2010. DOI: 10.1109/ICC.2010.5501894

ITU, 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.