Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Implementing Voice over IP
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Voice quality prediction models and their application in VoIP networks
IEEE Transactions on Multimedia
Perceptual QoS assessment technologies for VoIP
IEEE Communications Magazine
Implementing VoIP: a voice transmission performance progress report
IEEE Communications Magazine
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
WSEAS TRANSACTIONS on SYSTEMS
From packets to people: quality of experience as a new measurement challenge
DataTraffic Monitoring and Analysis
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Measuring speech quality in Voice over Internet Protocol (VoIP) networks is an increasingly important application for legal, commercial and technical reasons. Any proposed solution for measuring the quality should be applicable in monitoring live-traffic non-intrusively. The E-Model proposed by the International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T) achieves this, but it requires subjective tests to calibrate its parameters. In this paper a solution is proposed to extend the E-Model to any new network conditions and for newly emerging speech codecs without the need for the time-consuming, expensive, hard to conduct subjective tests. The proposed solution is based on an artificial neural network model and is compared against the E-Model to check its prediction accuracy.