In this paper, we present a new framework for the diagnostic prediction of transmitted speech quality. The idea is to extract perceptually relevant feature estimations from the speech signal, and combine them with an overall quality metric in order to obtain more reliable as well as more diagnostic predictions of speech quality. We implement this framework in two complementary ways: In terms of a signal-based model which can be used for online and offline measurement, and in terms of a parametric model which can be used for network planning. The implementations are compared to standard state-of-the-art models and show a similar level of reliability, while providing additional diagnostic value.

Index Terms: speech quality assessment, speech transmission, quality prediction, Quality of Experience