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Amir Mehmood's Publications

Understanding Signal-Based Speech Quality Prediction in Future Mobile Communications
Citation key MLVFM-USSQPFMC-10
Author Mehmood, Amir and Lewcio, Blazej and Vidales, Pablo and Feldmann, Anja and Möller, Sebastian
Title of Book Proceedings of IEEE International Conference on Communications (ICC '10)
Pages 1–6
Year 2010
ISBN 978-1-4244-6402-9
DOI http://dx.doi.org/10.1109/ICC.2010.5502123
Location Cape Town, South Africa
Address New York, NY, USA
Month May
Publisher IEEE
Organization IEEE
Abstract Speech quality in Next Generation Mobile Networks (NGMN) is critical. Accordingly, we analyze in this paper, how the quality estimation provided by wideband PESQ, a signal-based speech quality prediction model, differs from the user perception. We find that the model underestimates the auditory quality in certain NGMN conditions: 1) wideband-narrowband speech codec switching, 2) speech signal fading during codec switching, and 3) talk-spurt internal time-shifting due to jitter buffer instability. By pointing out the impact of these degradations on the speech signal, this paper contributes to potential improvements and adaptation of the wideband PESQ model for NGMNs.
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