TU Berlin

Quality and Usability LabFriedemann Köster

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Dr.-Ing. Friedemann Köster


Research Field
- Quality of Speech and Audio
- Speech- and Signal Processing 

Research Topics
- Multidimensional Diagnostic Analysis of Conversational Speech Quality

Friedemann Köster studied Industrial Engineering at the Christian-Albrechts-University of Kiel. In 2012 he finished his studies and received his Dipl.-Wirtsch.-Ing. degree. Currently he is working as a research assistant at the Quality and Usability Lab of Deutsche Telekom Laboratories, TU-Berlin, where he also works towards a Phd degree in the field of quality.



Speech Communication

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany


+49 30 8353 58255
+49 151 14745202


Analyzing Perceptual Dimensions of Conversational Speech Quality
Zitatschlüssel koester2014a
Autor Köster, Friedemann and Möller, Sebastian
Buchtitel Proc. 15th Ann. Conf. of the Int. Speech Comm. Assoc. (Interspeech 2014)
Seiten 2041–2045
Jahr 2014
ISSN 1990-9770
Ort SG-Singapore
Monat sep
Notiz electronic/online
Verlag ISCA Interspeech 2014 Prceedings
Wie herausgegeben full
Zusammenfassung Most telecommunication systems are used for communication between two people which interact during a conversation. In general, the quality of conversational speech is the major indicator for telecommunication-service providers to evaluate their systems. In this context, not only the assessment of the overall quality but also the analysis of the conversational speech quality is essential. We present an initial approach towards analyzing the conversational quality by separating a conversation in phases, and extracting individual corresponding perceptual dimensions of quality, as they are subjectively perceived by the system users. These dimensions can be combined for overall quality estimation and may separately be used to diagnose the technical reasons of quality degradation. For this reason, we review known and identify new dimensions of quality perception on the basis of subjective experiments. This enables to deeply analyze conversational speech quality for diagnosis and optimization of telecommunication systems.
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