More 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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More on the normalization of syllable prominence ratings. / Sappok, Christopher; Arnold, Denis.
Proceedings of Interspeech 13th Annual Conference of the International Speech Communication Association: INTERSPEECH 2012, Portland, OR, 9 September 2012 - 13 September 2012, 97207. International Speech Communication Association, 2012. p. 2415-2420 (13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; Vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - More on the normalization of syllable prominence ratings
AU - Sappok, Christopher
AU - Arnold, Denis
N1 - Conference code: 13
PY - 2012
Y1 - 2012
N2 - The perception of syllable prominence depends to a limited extent on the acoustic properties of the speech signal in question. Psychoacoustic factors are involved as well. Thus, research often relies on two types of data: subjective prominence ratings collected in perception experiments and acoustic measures. A problem with the rating data is noise resulting from individual approaches to the rating task. This paper addresses the question of how this noise can be reduced by normalization, evaluating 12 normalization methods. In a perception experiment, prominence ratings concerning German read speech were collected. From the raw rating data 12 different 'mirror' data-sets were computed according to the 12 methods. Each mirror data-set was correlated with the same set of underlying acoustic data. The multiple regression setup included raw syllable duration as well as within syllable maximum F0 and intensity. Adjusted r 2-values could be raised considerably with selected methods.
AB - The perception of syllable prominence depends to a limited extent on the acoustic properties of the speech signal in question. Psychoacoustic factors are involved as well. Thus, research often relies on two types of data: subjective prominence ratings collected in perception experiments and acoustic measures. A problem with the rating data is noise resulting from individual approaches to the rating task. This paper addresses the question of how this noise can be reduced by normalization, evaluating 12 normalization methods. In a perception experiment, prominence ratings concerning German read speech were collected. From the raw rating data 12 different 'mirror' data-sets were computed according to the 12 methods. Each mirror data-set was correlated with the same set of underlying acoustic data. The multiple regression setup included raw syllable duration as well as within syllable maximum F0 and intensity. Adjusted r 2-values could be raised considerably with selected methods.
KW - Language Studies
KW - Phonetik
KW - Prosodieforschung
KW - German
KW - Inter-rater variability
KW - Intra-rater variability
KW - Perception experiment
KW - Poetry
KW - Prose
KW - Read speech
UR - http://www.scopus.com/inward/record.url?scp=84878592121&partnerID=8YFLogxK
M3 - Article in conference proceedings
SN - 9781622767595
T3 - 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
SP - 2415
EP - 2420
BT - Proceedings of Interspeech 13th Annual Conference of the International Speech Communication Association
PB - International Speech Communication Association
T2 - 13th Annual Conference of the International Speech Communication Association - Interspeech 2012
Y2 - 9 September 2012 through 13 September 2012
ER -