Title
Instrumental estimation of E-model parameters for wideband speech codecs
Abstract
A method is described for quantifying the quality of wideband speech codecs. Two parameters are derived from signal-based speech quality model estimations: (i) a wideband equipment impairment factor Ie,WB and (ii) a wideband packet-loss robustness factor Bpl, WB. The equipment impairment factor can be combined with impairment factors for other quality degradations to form an estimate of the overall conversational quality R of a wideband communication scenario, using a wideband extension of the E-model. The packet-loss robustness factor captures the robustness of the codec against packet-loss degradations. In contrast to past work, these parameters are no longer determined on the basis of auditory test results, but from signal-based speech quality models. We applied three intrusive models to several databases and compared the derived quality estimates and impairment factors to those obtained from auditory tests. The results show that when migrating from narrowband to wideband transmission--a quality improvement of roughly 30% can be obtained, which is very similar to the one observed in auditory tests. The estimated impairment factors show a high correlation to those derived from auditory scores. Congruences and discrepancies to auditory test results are discussed, and an outline of work necessary to set up a wideband or even superwideband E-model is given.
Year
DOI
Venue
2010
10.1155/2010/782731
EURASIP J. Audio, Speech and Music Processing
Keywords
Field
DocType
wideband extension,overall conversational quality r,wideband equipment impairment factor,wideband communication scenario,quality improvement,impairment factor,instrumental estimation,auditory test,signal-based speech quality model,wideband speech codecs,quality degradation,e-model parameter,quality estimate
Wideband,Narrowband,Pattern recognition,Wideband audio,Computer science,Robustness (computer science),Mean opinion score,Speech recognition,Correlation,Artificial intelligence,Codec,Quality management
Journal
Volume
Issue
ISSN
2010,
1
1687-4722
Citations 
PageRank 
References 
2
0.49
6
Authors
5
Name
Order
Citations
PageRank
Sebastian Möller1877141.17
Nicolas Côté220.49
Valérie Gautier-Turbin3152.79
Nobuhiko Kitawaki417681.82
Akira Takahashi5337.98