Estimation of radio signal quality degradation by means of neural network and non-parametric regression model

In this paper we present an approach which allows us to avoid expansive and time consuming subjective assessments of audio quality degradation caused by different nature distortions while transmitting and receiving of stereo audio signal through the radio channel. This approach is based on the basic version of PEAQ (Perceptual Evaluation of Audio Quality) originally developed mainly for audio codec estimation. The MOV (Model Output Variables) vector of the PEAQ method is mapped to the audio quality degradation scale using two different models: neural networks and non-parametric regression. The results of two independent approaches are compared.