In recent years, different types of services have been started to be transmitted over the internet protocol (IP), due to the widespread use of the internet network, its flexibility and the ability to offer fast and high capacity access. One of these service types is voice traffic and this directly affects classical communication systems. Voice transmission is started over IP instead of public switched telephone network (PSTN). This new communication technology is called voice over IP (VoIP). In VoIP technology, the quality of the perception of the voice transmission by the user is determined by the mean opinion score (MOS). Generation of the MOS value depends on many parameters. Many models such as PSQM (Perceptual Speech Quality Measure), PESQ (Perceptual Evaluation of Speech Quality), POLQA (Perceptual Objective Listening Quality Analysis) have been standardized by ITU-T (International Telecommunications Union -Telecommunication Standardization Sector) to determine the MOS value. However, besides having many advantages these model structures also create practical difficulties in applications due to the need of a reference signal. Therefore, in this study, a multi-layered artificial neural networks (ANN) based model structure that does not need a reference signal is designed to estimate MOS quality values in voice transmission. In this model, quality of service (QoS) parameters of IP traffic are used as input and obtained MOS values are used as output. These QoS parameters used as input are packet loss and delay values. Thus, a model with 2 inputs and 1 output was created. In addition, the model has a flexible structure as it can estimate MOS using different QoS parameters. Different from the studies in the literature, in this study, it was tried to estimate MOS values measured by the POLQA method with ANN model. LM (Levenberg Marquardt), BR (Bayesian Regulation) and RPROP (Resilient Backpropagation) algorithm was used in the training and testing process of the ANN model. The results obtained from the simulations are presented by tables and figures. The method, developed according to the results, has been shown to be comparable to the models recommended by ITU-T.
Publication Date : August 31, 2020
|APA||Mete, S . (2020). VoIP Şebekesindeki Ses Kalitesinin Çok Katmanlı Yapay Sinir Ağları ile Modellenmesi . Avrupa Bilim ve Teknoloji Dergisi , (19) , 679-690 . DOI: 10.31590/ejosat.745810|