The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Individual Differences in Voice Quality Perception
Abstract
Sixteen listeners (10 expert, 6 naive) judged the dissimilarity of pairs of voices drawn from pathological and normal populations. Separate nonmetric multidimensional scaling solutions were calculated for each listener and voice set. The correlations between individual listeners’ dissimilarity ratings were low However, scaling solutions indicated that each subject judged the voices in a reliable, meaningful way. Listeners differed more from one another in their judgments of the pathological voices (which varied widely on a number of acoustic parameters) than they did for the normal voices (which formed a much more homogeneous set acoustically). The acoustic features listeners used to judge dissimilarity were predictable from the characteristics of the stimulus sets’ only parameters that showed substantial variability were perceptually salient across listeners. These results are consistent with prototype models of voice perception They suggest that traditional means of assessing listener reliability n voice perception tasks may not be appropriate, and highlight the importance of using explicit comparisons between stimuli when studying voice quality perception
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Citations
Cites
Categorization of speech by infants: Support for speech-sound prototypes.
Grieser, D., & Kuhl, P. K. (1989) · Developmental Psychology · doi:10.1037/0012-1649.25.4.577 · Cited by 184
Cited by
Maryn, Y., Corthals, P., Van Cauwenberge, P., Roy, N., & De Bodt, M. (2010) · Journal of Voice · doi:10.1016/j.jvoice.2008.12.014 · Cited by 427
Understanding Voice Perception
Belin, P., Bestelmeyer, P. E. G., Latinus, M., & Watson, R. (2011) · British Journal of Psychology · doi:10.1111/j.2044-8295.2011.02041.x · Cited by 342
The Effect of Perceptual Training on Inexperienced Listeners' Judgments of Dysphonic Voice
Eadie, T. L., & Baylor, C. R. (2006) · Journal of Voice · doi:10.1016/j.jvoice.2005.08.007 · Cited by 254
Clarke, J., & Draper, S. (2020) · Internet Interventions · doi:10.1016/j.invent.2019.100293 · Cited by 65
Multidirectional Regression (MDR)-Based Features for Automatic Voice Disorder Detection
Muhammad, G., Mesallam, T. A., Malki, K. H., Farahat, M., Mahmood, A., & Alsulaiman, M. (2012) · Journal of Voice · doi:10.1016/j.jvoice.2012.05.002 · Cited by 66
Metadata
- Authors
- Kreiman, J., Gerratt, B. R., Precoda, K., & Berke, G. S.
- Venue
- Journal of Speech, Language, and Hearing Research
- Published
- 1992-06
- Volume
- 35
- Issue
- 3
- Pages
- 512-520
- ISSN
- 1092-4388 (ISSN-L)
- 1558-9102
- OpenAlex
- W2085542853
- Cited by
- 281
- References
- 1
- FWCI
- 1.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kreiman, J., Gerratt, B. R., Precoda, K., & Berke, G. S. (1992). Individual Differences in Voice Quality Perception. Journal of Speech, Language, and Hearing Research. https://doi.org/10.1044/jshr.3503.512
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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