On the Normalization of Syllable Prominence Ratings
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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On the Normalization of Syllable Prominence Ratings. / Sappok, Christopher; Arnold, Denis.
Proceedings of the 6th International Conference on Speech Prosody 2012. ed. / Qiuwu Ma; Hongwei Ding; Daniel Hirst. Vol. 1 Tongji University Press, 2012. p. 314-317.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - On the Normalization of Syllable Prominence Ratings
AU - Sappok, Christopher
AU - Arnold, Denis
N1 - Conference code: 6
PY - 2012
Y1 - 2012
N2 - The instructions under which raters quantify syllable prominence perception need to be simple in order to maintain immediate reactions. This leads to noise in the rating data that can be dealt with by normalization, e.g. setting central tendency = 0 and dispersion = 1 (as in Z-score normalization). Questions arise such as: Which parameter is adequate here to capture central tendency? Which reference distribution should the normalization be based on? In this paper 16 different normalization methods are evaluated. In a perception experiment using German read speech (prose and poetry), syllable prominence ratings were collected. From the rating data 16 complete “mirror” data-sets were computed according to the 16 methods. Each mirror data-set was correlated with the same set of measures from the underlying acoustic data, focusing on raw syllable duration which is seen as a rather straightforward acoustic aspect of syllable prominence. Correlation coefficients could be raised considerably by selected methods.
AB - The instructions under which raters quantify syllable prominence perception need to be simple in order to maintain immediate reactions. This leads to noise in the rating data that can be dealt with by normalization, e.g. setting central tendency = 0 and dispersion = 1 (as in Z-score normalization). Questions arise such as: Which parameter is adequate here to capture central tendency? Which reference distribution should the normalization be based on? In this paper 16 different normalization methods are evaluated. In a perception experiment using German read speech (prose and poetry), syllable prominence ratings were collected. From the rating data 16 complete “mirror” data-sets were computed according to the 16 methods. Each mirror data-set was correlated with the same set of measures from the underlying acoustic data, focusing on raw syllable duration which is seen as a rather straightforward acoustic aspect of syllable prominence. Correlation coefficients could be raised considerably by selected methods.
KW - Language Studies
KW - Phonetik
KW - Prosodieforschung
UR - https://www.mendeley.com/catalogue/3f59fb00-91e5-33a8-8afa-9e5291e4421b/
M3 - Article in conference proceedings
VL - 1
SP - 314
EP - 317
BT - Proceedings of the 6th International Conference on Speech Prosody 2012
A2 - Ma, Qiuwu
A2 - Ding, Hongwei
A2 - Hirst, Daniel
PB - Tongji University Press
T2 - 6th International Conference: Speech Prosody - ISCA Speech 2012
Y2 - 22 May 2012 through 25 May 2012
ER -