Diagnostic and Summative Approach for Predicting Speech Communication Quality in a Super-Wideband Context

Konferenz: Speech Communication - 13. ITG-Fachtagung Sprachkommunikation
10.10.2018 - 12.10.2018 in Oldenburg, Deutschland

Tagungsband: ITG-Fb. 282: Speech Communication

Seiten: 5Sprache: EnglischTyp: PDF

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Autoren:
Moeller, Sebastian (Quality and Usability Lab, Technische Universität Berlin, Berlin, Germany & Language Technology, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Berlin, Germany)
Huebschen, Tobias; Schmidt, Gerhard (Digital Signal Processing and System Theory (DSS), Christian-Albrechts-Universität zu Kiel, Kiel, Germany)
Mittag, Gabriel (Quality and Usability Lab, Technische Universität Berlin, Berlin, Germany)

Inhalt:
The quality of speech transmitted through narrowband (300-3400 Hz) and wideband (50-7000 Hz) networks has been a topic of investigation for decades, and models which predict passively experienced transmission quality as well as interactive communication quality are largely available. With the advent of super-wideband (20-14000 Hz) speech communication services, the influence factors of the underlying systems change, and new prediction models become necessary to adequately plan and monitor the resulting quality. Whereas a model for predicting overall listening-only quality in such situations is readily available and standardized, we propose a new framework for predicting speech communication quality as well as its underlying perceptual dimensions and technical root causes of degradations from signals and/or parameters from the network and terminals. The framework offers diagnostic as well as summative information for network planning, optimization and monitoring.