{"title":"Perception of voicing and place of articulation in labial and alveolar English stop consonants","authors":"N. Silbert","doi":"10.1515/lp-2014-0011","DOIUrl":null,"url":null,"abstract":"Abstract Distinctive features define a multidimensional structure that must be implemented in speech production and perception. A multilevel Gaussian General Recognition Theory model is presented as a model of multidimensional feature perception. The model is fit to data from three experiments probing identification of noise-masked, naturally-produced labial and alveolar English stop consonants [p], [b], [t], and [d] in onset (syllable-initial) and coda (syllable-final) position. The results indicate systematic perceptual deviations from simple place and voicing structure in individual subjects and at the group level. Comparing onset and coda positions shows that syllable position modulates the deviation patterns, and comparing speech-shaped noise and multi-talker babble indicates that deviations from simple feature structure are reasonably robust to variation in noise characteristics. Possible causes of the observed perceptual confusion patterns are discussed, and extensions of this work to studies of feature structure in speech production and investigation of non-native speech perception are briefly outlined.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/lp-2014-0011","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/lp-2014-0011","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 8
Abstract
Abstract Distinctive features define a multidimensional structure that must be implemented in speech production and perception. A multilevel Gaussian General Recognition Theory model is presented as a model of multidimensional feature perception. The model is fit to data from three experiments probing identification of noise-masked, naturally-produced labial and alveolar English stop consonants [p], [b], [t], and [d] in onset (syllable-initial) and coda (syllable-final) position. The results indicate systematic perceptual deviations from simple place and voicing structure in individual subjects and at the group level. Comparing onset and coda positions shows that syllable position modulates the deviation patterns, and comparing speech-shaped noise and multi-talker babble indicates that deviations from simple feature structure are reasonably robust to variation in noise characteristics. Possible causes of the observed perceptual confusion patterns are discussed, and extensions of this work to studies of feature structure in speech production and investigation of non-native speech perception are briefly outlined.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.