Dimension-based Diagnostic Prediction of Speech Quality

Abstract:
In this paper, we address models for predicting the quality of speech transmission and communication services. In contrast to models which aim at predicting the integral quality of speech, i.e., at an index for the overall quality, we focus on models which predict individual dimensions of quality, as they are subjectively perceived by a communication partner. Such predictions of individual dimensions can then be combined to form an integral-quality estimation; however, they may also be used separately ID order to diagnose the reasons of insufficient quality. Beyond, describing particular perceptual effects rather than technical systems, they are less vulnerable by new system variants not included in the model development.