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Janet F. Werker

Researcher at University of British Columbia

Publications -  205
Citations -  23315

Janet F. Werker is an academic researcher from University of British Columbia. The author has contributed to research in topics: Speech perception & Language acquisition. The author has an hindex of 76, co-authored 199 publications receiving 21562 citations. Previous affiliations of Janet F. Werker include Simon Fraser University & Dalhousie University.

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Cross-language speech perception: Evidence for perceptual reorganization during the first year of life

TL;DR: This article showed that infants can discriminate non-native speech contrasts without relevant experience, and that there is a decline in this ability during ontogeny, which is a function of specific language experience.
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Infant sensitivity to distributional information can affect phonetic discrimination.

TL;DR: It is shown that infants are sensitive to the statistical distribution of speech sounds in the input language, and that this sensitivity influences speech perception.
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Infants listen for more phonetic detail in speech perception than in word-learning tasks

TL;DR: A recently developed technique is used to show that when they are required to pair words with objects, infants of 14 months fail to use the fine phonetic detail they detect in syllable discrimination tasks, and suggests a second reorganization in infants's use of phoneticdetail as they move from listening to syllables to learning words.
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Developmental Changes in Perception of Nonnative Vowel Contrasts

TL;DR: Discrimination of 2 German vowel contrasts was examined in English-learning infants of 6-8 and 10-12 months of age, revealing a shift from a language-general toward alanguage-specific pattern during the 1st year of life, however, that shift begins earlier in development for vowels than for consonants.
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PRIMIR: A Developmental Framework of Infant Speech Processing

TL;DR: A new, unified framework for accounting for divergent findings in infant speech perception is presented, including its underlying assumptions and overall architecture, and it is compared to existing frameworks to present core predictions of PRIMIR.