14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Speech Quality Prediction for Artificial Bandwidth Extension Algorithms

Sebastian Möller (1), Emilia Kelaidi (1), Friedemann Köster (1), Nicolas Côté (2), Patrick Bauer (3), Tim Fingscheidt (3), Thomas Schlien (4), Hannu Pulakka (5), Paavo Alku (5)

(1) T-Labs, Germany
(2) IEMN, France
(3) Technische Universität Braunschweig, Germany
(4) RWTH Aachen University, Germany
(5) Aalto University, Finland

During the transition period from narrowband to wideband speech transmission services, Artificial Bandwidth Extension (ABE) algorithms are able to reduce the perceptual degradation of narrowband-transmitted speech signals by extending the audio bandwidth. In this paper, we analyze whether the resulting speech quality can be predicted reliably with instrumental models. Estimations from the new ITU standard POLQA, its predecessor WBPESQ and the diagnostic DIAL model are compared to subjective listener judgments. This comparison reveals that the instrumental measures are not fully able to cope with ABE-processed speech, particularly in predicting ABE rank orders reliably. Reasons for this finding and corresponding diagnoses are discussed.

Full Paper

Bibliographic reference.  Möller, Sebastian / Kelaidi, Emilia / Köster, Friedemann / Côté, Nicolas / Bauer, Patrick / Fingscheidt, Tim / Schlien, Thomas / Pulakka, Hannu / Alku, Paavo (2013): "Speech quality prediction for artificial bandwidth extension algorithms", In INTERSPEECH-2013, 3439-3443.