Voice over IP (VoIP) is an emerging service and has gained popularity in recent years. The most challenging task for a service provider is to provide and monitor better voice quality. The nature of quality of service (QoS) in VoIP networks is very variable and hence it is important to be able to measure the QoS offered by the system in real time with a low computational cost. In this paper, we discuss our new model to monitor and predict voice quality non-intrusively using Random Neural Networks (RNN). Our model is based on using network delay, delay variation (jitter), packet loss and different voice codecs as input.
|Title of host publication||2010 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)|
|Number of pages||7|
|Publication status||Published - 2010|
- voice quality
- communication technology