Abstract
The quality of speech in network environment is a growing concern of all the companies and institutions, that migrated or are planning to migrate their voice communications to IP based technologies. This trend together with the increasing amount of Internet traffic in general poses a great challenge for network administration to be able to configure and manage the network so it can carry the multimedia traffic without the excessive delays, which degrade the quality of speech as it is perceived by the end users. Continuous monitoring of key nodes of internal infrastructure as well as external interconnections is the possible way to increase the quality of multimedia transmissions for most users, because it allows the network administrators to be informed as soon as the problem rises and consequently to change the network routing and queuing policies to bypass the connection experiencing the quality issues. The tool for this type of monitoring and its architecture are described in detail in this paper.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
ITU-T P.800 – Recommendation P.800 of the International Telecommunication Union: Methods for subjective determination of transmission quality. ITU-T (1996)
ITU-T P.800.1 - Recommendation P.800.1 of the International Telecommunication Union: Mean Opinion Score (MOS) terminology. ITU-T (July 2006)
ITU-T P.862 – Recommendation P.862 of the International Telecommunication Union: Perceptual evaluation of speech quality (PESQ) - An objective Method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs. ITU-T (February 2001)
ITU-T G.107 - Recommendation G.107 of the International Telecommunication Union: The E-model: A computational model for use in transmission planning, Geneva (2009)
Voznak, M., Tomes, M., Vaclavikova, Z., Halas, M.: E-model Improvement for Speech Quality Evaluation Including Codecs Tandeming. In: Advances in Data Networks, pp. 119–124. Communications, Computers, Faro (2010)
Conway, A.E.: A Passive Method for Monitoring Voice-over-IP Call Quality with ITU-T Objective Speech Quality Measurement Methods. In: IEEE Conference on Communications, pp. 2583–2586. ICC (2002)
Kovac, A., Halas, M.: E-model MOS estimate precision improvement and modelling of jitter effects. Advances in Electrical and Electronic Engineering 10, 276–281 (2012)
Fu, Q., Yi, K., Sun, M.: Speech quality objective assessment using neural network. In: 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1511–1514. IEEE, Piscataway (2000)
Al-Akhras, M., Zedan, H., John, R., Almomani, I.: Non-intrusive speech quality prediction in VoIP networks using a neural network approach. Neurocomputing 72(10), 2595–2608 (2009)
Morais, A., Cavalli, A.: A quality of experience based approach for wireless mesh networks. In: Masip-Bruin, X., Verchere, D., Tsaoussidis, V., Yannuzzi, M. (eds.) WWIC 2011. LNCS, vol. 6649, pp. 162–173. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Rozhon, J., Rezac, F., Slachta, J., Voznak, M. (2014). Monitoring of Speech Quality in Full-Mesh Networks. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2014. Communications in Computer and Information Science, vol 431. Springer, Cham. https://doi.org/10.1007/978-3-319-07941-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-07941-7_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07940-0
Online ISBN: 978-3-319-07941-7
eBook Packages: Computer ScienceComputer Science (R0)