NDLI: Same but different? — Using speech signal features for comparing conversational VoIP quality studies

Content Provider	IEEE Xplore Digital Library
Author	Egger, S. Schatz, R. Schoenenberg, K. Raake, A. Kubin, G.
Copyright Year	2012
Description	Author affiliation: Telecommunications Research Center Vienna (ftw), Vienna, 1220 Austria (Egger, S.; Schatz, R.) \|\| Assessment of IP-based Applications, Deutsche Telekom Laboratories, TU Berlin, Germany (Schoenenberg, K.; Raake, A.) \|\| SPSC Lab, Graz University of Technology, Austria (Kubin, G.)
Abstract	In this paper we demonstrate how speech signal features can be used to detect and explain differences in human to human conversation tests. To this end, we compare the results of two conversational VoIP quality experiments designed to quantify the impact of network delay on perceived speech quality. Both studies followed the same procedures and used the same scenarios, but were conducted in two different labs. Our comparison shows that the two studies, despite having been executed correctly using the same test design, still can produce surprisingly different results regarding the users quality perception on a MOS scale. In this respect, speech signal features extracted from conversation recordings help identifying divergent participant behavior as plausible cause for such differences. Our in-depth analysis reveals how novel parameters developed by us like Intended and Unintended Interruption Rate (IIR, UIR) and the corrected Speaker Alternation Rate SARcorr can be used to successfully determine the extent to which the results of different conversational speech quality studies are directly comparable and thus eligible for pooling, or not.
Starting Page	1320
Ending Page	1324
File Size	158299
Page Count	5
File Format	PDF
ISBN	9781457720529
ISSN	15503607
e-ISBN	9781457720536
e-ISBN	9781457720512
DOI	10.1109/ICC.2012.6364593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Delay Speech Interrupters Telecommunications Humans Reliability Feature extraction Conversational VoIP Quality Studies Speech Signal Features Conversational Interactivity
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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