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Gabriel Mittag



Gabriel Mittag received his B.Sc. and M.Sc. degree in electrical and electronic engineering at the Technische Universität Berlin. During his master's degree he spent two semesters at the RMIT University in Melbourne, Australia and focused primarily on biomedical and speech signal processing. Since 2016 he is employed as research assistant at the Quality and Usability Lab at the TU Berlin, where he works towards a PhD in the field of Quality of Experience (QoE) of speech communication services. His main interests are in psychoacoustics, quality evaluation, signal processing, and machine learning.


Research Fields

  • Perceived Quality of Speech
  • Speech and Signal Processing 

Research Topic

  • Diagnostic Quality of Transmitted Speech





  • DAGA-Posterpreis: G. Mittag, F. Köster, S. Möller, "Non-intrusive Estimation of the Perceptual Dimension Coloration", DAGA 2016.
  • Best Paper Award: F. Köster, G. Mittag, T. Polzehl, S. Möller, "Non-intrusive Estimation of Noisiness as a Perceptual Quality Dimension of Transmitted Speech", PQS 2016.



Open Bachelor/Master theses:





Quantifying Quality Degradation of the EVS Super-Wideband Speech Codec
Zitatschlüssel mittag2018c
Autor Mittag, Gabriel and Möller, Sebastian and Barriac, Vincent and Ragot, Stéphane
Buchtitel Proceedings of Tenth International Conference on Quality of Multimedia Experience (QoMEX)
Seiten 1–6
Jahr 2018
ISSN 2472-7814
DOI 10.1109/QoMEX.2018.8463425
Adresse Piscataway, NJ
Monat may
Notiz electronic
Verlag IEEE
Serie QoMEX
Wie herausgegeben Fullpaper
Zusammenfassung Voice transmission networks are commonly planned with the help of computational quality models, which give an estimate of the expected quality that a user will experience. The most popular of these tools is the E-model. When certain parameters are known, such as the applied codec and its bitrate, the model is able to predict the perceived quality of a communication system. Up to now, the E-model is only available for narrowband telephony (300–3400 Hz) and limited also for wideband telephony (100–7000 Hz). With the extension of voice networks to super-wideband telephony (50–14000 Hz), and the introduction of the super-wideband codec EVS to mobile networks and state of the art smartphones, an update of the E-model has become necessary. To this end, we firstly examined the quality improvement of super-wideband over wideband with results from mixed-band listening-only tests, where we found that the quality is improved by 15%. Then, we calculated impairment factors for the EVS codec and analyzed its robustness towards packet loss, by using auditory and instrumental methods.
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