Signal-based Root Cause Analysis of Quality Impairments in Speech Communication Networks

Tobias Hübschen, Gabriel Mittag, Sebastian Möller, Gerhard Schmidt

In: Proceedings of Speech Communication - 13. ITG-Fachtagung Sprachkommunikation. ITG-Fachtagung (ITG) October 10-12 Oldenburg Germany Seiten 1-5 ITG ISBN 978-3-8007-4767-2 VDE 2018.


To network providers, identifying the root cause for an observed speech quality degradation in their network is of special interest. In most cases, however, such additional information cannot be provided by state-of-the-art quality assessment algorithms. Therefore, this work proposes an algorithmic system, which is able to identify the individual impact of two commonly simultaneously occurring listening quality degrading root causes, namely speech coding effects and frame errors. For this, the frame error rate, the codec bitrate and the equipment impairment factor of the E-Model are estimated. Results show that these estimates may be reliably used to perform a root cause analysis in network scenarios where the quality degradation caused by the combination of speech coding effects and of frame errors dominates.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence