EDBT 2026 Demo / reviewers in the wild / expert
Elizabeth K. Johnson
dblp:15/9278 · also Elizabeth Johnson 0001
· DBLP profile ↗
18ranked-venue papers
1as first author
12since 2021 · last 2023
0000-0002-9941-9949ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 18 · 1 first-author · 12 since 2021Applied, interdisciplinary, general and emerging computing · 17 · 1 first-author · 12 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Effects of Accent Exposure on Monolingual and Bilingual Children's Early Vocabulary Development
Priscilla Fung, Helen Buckler, Elizabeth K. Johnson |
CogSci | 3 |
| 2023 | It Starts at Home: The Role of Parental Socialization on the Development of Gendered Speech
Priscilla Fung, Jessamyn Schertz, Elizabeth K. Johnson |
CogSci | 3 |
| 2023 | Who saves the day? Challenging children's linguistic biases through exposure to foreign-accented cartoon heroes
Kaitlyn Harris, Thomas St. Pierre, Elizabeth K. Johnson |
CogSci | 3 |
| 2023 | Finding your (child's) voice: Caregiver identification of familiar child voices
Emily Shroads, Madeleine Yu, Elizabeth K. Johnson |
CogSci | 3 |
| 2023 | The Emergence of the Other Accent Effect in Talker Recognition
Madeleine Yu, Elizabeth K. Johnson |
CogSci | 2 |
| 2023 | Is It All or Nothing? The Other Accent Effect in Talker Recognition
Madeleine Yu, Elizabeth K. Johnson |
CogSci | 2 |
| 2022 | Where's the Bingleduff? How speaker accent shapes children's linguistic processing
Bailey Agard, Thomas St. Pierre, Elizabeth K. Johnson |
CogSci | 3 |
| 2022 | Is there an Own-Age Advantage in Talker Recognition?
Madeleine Yu, Elizabeth K. Johnson |
CogSci | 2 |
| 2022 | Do I need to repeat myself? Getting to the root of the Other Accent Effect
Madeleine Yu, Jessamyn Schertz, Elizabeth K. Johnson |
CogSci | 3 |
| 2021 | The influence of media exposure on children's evaluations of non-local accents
Thomas St. Pierre, Elizabeth K. Johnson |
CogSci | 2 |
| 2021 | 'Hello! *What your name?' Children's evaluations of ungrammatical speakers after live interaction
Thomas St. Pierre, Katherine S. White, Elizabeth K. Johnson |
CogSci | 3 |
| 2021 | Do you speak 'kid'? The role of experience in comprehending child speech
Madeleine Yu, Angela Cooper, Elizabeth K. Johnson |
CogSci | 3 |
| 2020 | Understanding Children's Productions: Does Experience Play a Role?
Amrita Bagga, Madeleine Yu, Elizabeth K. Johnson |
CogSci | 3 |
| 2020 | Monolingual and Bilingual Toddlers' Reliance on the Mutual Exclusivity Principle and Statistics to Learn Colour Labels
Priscilla Fung, Elizabeth K. Johnson |
CogSci | 2 |
| 2020 | The development of accent-based friendship preferences: Age and language exposure matter
Thomas St. Pierre, Elizabeth K. Johnson |
CogSci | 2 |
| 2020 | Understanding Children's Speech Productions: Man Versus Machine
Madeleine Yu, Amrita Bagga, Elizabeth K. Johnson |
CogSci | 3 |
| 2017 | Dynamic and multiplexed networks for working memory
Elizabeth K. Johnson, Robert T. Knight |
CogSci | 1 |
| 2004 | Acoustic correlates of phrase-internal lexical boundaries in dutchabstractThe aim of this study was to determine if Dutch speakers\nreliably signal phrase-internal lexical boundaries, and if so, how. Six speakers recorded 4 pairs of phonemically identical strong-weak-strong (SWS) strings with matching syllable boundaries but mismatching intended word boundaries (e.g. reis # pastei versus reispas # tij, or more broadly\nC1V2(C)#C2V2(C)C3V3(C) vs. C1V2(C)C2V2(C)#C3V3(C)).\nAn Analysis of Variance revealed 3 acoustic parameters that\nwere significantly greater in S#WS items (C2 DURATION, RIME1\nDURATION, C3 BURST AMPLITUDE) and 5 parameters that were\nsignificantly greater in the SW#S items (C2 VOT, C3 DURATION, RIME2 DURATION, RIME3 DURATION, and V2 AMPLITUDE).\nAdditionally, center of gravity measurements suggested that\nthe [s] to [t] coarticulation was greater in reis # pa[st]ei\nversus reispa[s] # [t]ij. Finally, a Logistic Regression\nAnalysis revealed that the 3 parameters (RIME1 DURATION,\nRIME2 DURATION, and C3 DURATION) contributed most reliably\nto a S#WS versus SW#S classification. Taehong Cho, Elizabeth K. Johnson |
INTERSPEECH | 2 |