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T. Sporer, J. Liebetrau, and S. Schneider, "Statistics of MUSHRA Revisited," Paper 7825, (2009 October.). doi: T. Sporer, J. Liebetrau, and S. Schneider, "Statistics of MUSHRA Revisited," Paper 7825, (2009 October.). doi:
Abstract: Listening tests are the final instance when judging perceived audio quality. To achieve reliable and repeatable re-sults, the experimental design and the statistical analysis of results are of great importance. The “triple stimulus with hidden reference” test (Rec. ITU-R BS.1116) and the MUSHRA test (multi-stimulus with hidden reference and an-chors, Rec. ITU-R BS.1534, MUSHRA) are well established standardised listening tests. Traditionally, the statistical analysis of both is based on simple parametric statistics. This paper reanalyses the results from MUSHRA tests with alternative statistical approaches mainly considering the fact that in MUSHRA every listener is not only assigning a score to each item, but is performing an inherent ranking test and a paired comparison test (“better-worse”) between pairs of stimuli. Thus, more statistical information is made visible.

@article{sporer2009statistics,
author={sporer, thomas and liebetrau, judith and schneider, sebastian},
journal={journal of the audio engineering society},
title={statistics of mushra revisited},
year={2009},
volume={},
number={},
pages={},
doi={},
month={october},} @article{sporer2009statistics,
author={sporer, thomas and liebetrau, judith and schneider, sebastian},
journal={journal of the audio engineering society},
title={statistics of mushra revisited},
year={2009},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={listening tests are the final instance when judging perceived audio quality. to achieve reliable and repeatable re-sults, the experimental design and the statistical analysis of results are of great importance. the “triple stimulus with hidden reference” test (rec. itu-r bs.1116) and the mushra test (multi-stimulus with hidden reference and an-chors, rec. itu-r bs.1534, mushra) are well established standardised listening tests. traditionally, the statistical analysis of both is based on simple parametric statistics. this paper reanalyses the results from mushra tests with alternative statistical approaches mainly considering the fact that in mushra every listener is not only assigning a score to each item, but is performing an inherent ranking test and a paired comparison test (“better-worse”) between pairs of stimuli. thus, more statistical information is made visible.},}

TY - paper
TI - Statistics of MUSHRA Revisited
SP - EP -
AU - Sporer, Thomas
AU - Liebetrau, Judith
AU - Schneider, Sebastian
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2009 TY - paper
TI - Statistics of MUSHRA Revisited
SP - EP -
AU - Sporer, Thomas
AU - Liebetrau, Judith
AU - Schneider, Sebastian
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2009
AB - Listening tests are the final instance when judging perceived audio quality. To achieve reliable and repeatable re-sults, the experimental design and the statistical analysis of results are of great importance. The “triple stimulus with hidden reference” test (Rec. ITU-R BS.1116) and the MUSHRA test (multi-stimulus with hidden reference and an-chors, Rec. ITU-R BS.1534, MUSHRA) are well established standardised listening tests. Traditionally, the statistical analysis of both is based on simple parametric statistics. This paper reanalyses the results from MUSHRA tests with alternative statistical approaches mainly considering the fact that in MUSHRA every listener is not only assigning a score to each item, but is performing an inherent ranking test and a paired comparison test (“better-worse”) between pairs of stimuli. Thus, more statistical information is made visible.