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The ITU-T Recommendation P.808 provides a crowdsourcing approach for conducting a subjective assessment of speech quality using the Absolute Category Rating (ACR) method.
ITU-T Recommendation P.800,
1996
Earlier work this paper cites.
ITU-T Supplement P.23,
1998
Earlier work this paper cites.
ITU-T Recommendation P.835,
2003
Earlier work this paper cites.
F. Ribeiro, D. Florêncio, C. Zhang, and M. Seltzer, “Crowdmos: An approach for crowdsourcing mean opinion score studies,” in
2011
Earlier work this paper cites.
C. Keimel, J. Habigt, C. Horch, and K. Diepold, “Qualitycrowd — a framework for crowd-based quality evaluation,” in
2012
Earlier work this paper cites.
B. Rainer, M. Waltl, and C. Timmerer, “A web based subjective evaluation platform,” in
2013
Earlier work this paper cites.
S. Möller and A. Raake,
2014
Earlier work this paper cites.
S. Kraft and U. Zölzer, “BeaqleJS: HTML5 and JavaScript based framework for the subjective evaluation of audio quality,” in
2014
Cited alongside, same era.
T. Polzehl, B. Naderi, F. Köster, and S. Möller, “Robustness in speech quality assessment and temporal training expiry in mobile crowdsourcing environments,” in
2015
Cited alongside, same era.
B. Naderi, T. Polzehl, I. Wechsung, F. Köster, and S. Möller, “Effect of Trapping Questions on the Reliability of Speech Quality Judgments in a Crowdsourcing Paradigm,” in
2015
Cited alongside, same era.
B. Naderi, I. Wechsung, and S. Möller, “Effect of being observed on the reliability of responses in crowdsourcing micro-task platforms,” in
2015
Cited alongside, same era.
ITU-T Recommendation P.808,
2018
Cited alongside, same era.
A. R. Avila, H. Gamper, C. Reddy, R. Cutler, I. Tashev, and J. Gehrke, “Non-intrusive speech quality assessment using neural networks,” in
2019
Later among the works it cites.
B. Naderi, T. Hossfeld, M. Hirth, F. Metzger, S. Möller, and R. Z. Jiménez, “Impact of the number of votes on the reliability and validity of subjective speech quality assessment in the crowdsourcing approach,” pp. 1–6, 2020
2020
Closest in time.
B. Naderi and S. Möller, “Application of Just-Noticeable Difference in Quality as Environment Suitability Test for Crowdsourcing Speech Quality Assessment Task,” in
2020
Closest in time.
2020
Closest in time.
ITU-T Recommendation P.1401,
2020
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M. Schoeffler, S. Bartoschek, F.-R. Stöter, M. Roess, S. Westphal, B. Edler, and J. Herre, “webMUSHRA — A Comprehensive Framework for Web-based Listening Tests,”
2018
Cited alongside, same era.
M. Cartwright, B. Pardo, and G. J. Mysore, “Crowdsourced pairwise-comparison for source separation evaluation,” in
2018
Cited alongside, same era.
Closest in time.