Lisa R Hamrick
Biographic Data
| ID | 3450041 |
|---|---|
| NAME | Lisa R Hamrick |
| GIVEN NAMES | Lisa R |
| FAMILY NAME | Hamrick |
| SIGNATURE | HAMRICK L R |
| AFFILIATIONS | Purdue University West Lafayette |
| ORCID | 0000-0002-8372-5837 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Development of Canonical Proportion as a Function of Community, Multilingualism, and Target Language’s Syllable Complexity
This study investigates the development of canonical proportion (CP), an indicator of speech development, across diverse language and environmental contexts. Using the Speech Maturity Dataset (SMD) comprising 366 children, aged 0;2-6;4, across 10 different languages and cultures, we explore the influence of multilingual exposure, language syllable complexity, and community type (industrialised, non-industrialised) on CP. We find that monolingual …
Everyday language input and production in 1001 children from 6 continents
Language is a universal human ability, acquired readily by young children who otherwise struggle with many basics of survival1,2. And yet, language is variable across individuals. Behavioral and experimental observations suggest that children’s linguistic skills vary with factors like socioeconomic status3, children’s gender4, and multilingualism5. But which factors really influence children’s day-to-day language use? Here we leverage speech tech…
Towards Large-Scale Data Annotation of Audio from Wearables
Recent developments allow the collection of audio data from lightweight wearable devices, potentially enabling us to study language use from everyday life samples. However, extracting useful information from these data is currently impossible with automatized routines, and overly expensive with trained human annotators. We explore a strategy fit to the 21st century, relying on the collaboration of citizen scientists. A large dataset of infant spe…
Describing vocalizations in young children
Purpose:** Recording young children's vocalizations through wearables is a promising method to assess language development. However, accurately and rapidly annotating these files remains challenging. Online crowdsourcing with the collaboration of citizen scientists could be a feasible solution. In this paper, we assess the extent to which citizen scientists' annotations align with those gathered in the lab for recordings collected from young chil…
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Towards Large-Scale Data Annotation of Audio from Wearables
Recent developments allow the collection of audio data from lightweight wearable devices, potentially enabling us to study language use from everyday life samples. However, extracting useful information from these data is currently impossible with automatized routines, and overly expensive with trained human annotators. We explore a strategy fit to the 21st century, relying on the collaboration of citizen scientists. A large dataset of infant spe…
Describing vocalizations in young children
Purpose:** Recording young children's vocalizations through wearables is a promising method to assess language development. However, accurately and rapidly annotating these files remains challenging. Online crowdsourcing with the collaboration of citizen scientists could be a feasible solution. In this paper, we assess the extent to which citizen scientists' annotations align with those gathered in the lab for recordings collected from young chil…
Everyday language input and production in 1001 children from 6 continents
Language is a universal human ability, acquired readily by young children who otherwise struggle with many basics of survival1,2. And yet, language is variable across individuals. Behavioral and experimental observations suggest that children’s linguistic skills vary with factors like socioeconomic status3, children’s gender4, and multilingualism5. But which factors really influence children’s day-to-day language use? Here we leverage speech tech…
The Development of Canonical Proportion as a Function of Community, Multilingualism, and Target Language’s Syllable Complexity
This study investigates the development of canonical proportion (CP), an indicator of speech development, across diverse language and environmental contexts. Using the Speech Maturity Dataset (SMD) comprising 366 children, aged 0;2-6;4, across 10 different languages and cultures, we explore the influence of multilingual exposure, language syllable complexity, and community type (industrialised, non-industrialised) on CP. We find that monolingual …
Computer Science (3 works) · Annotation (2 works) · Artificial Intelligence (2 works) · Citizen science (2 works) · Language acquisition (2 works) · Language Development and Disorders (2 works) · Natural language processing (2 works) · Psychology (2 works) · World Wide Web (2 works) · Agreement (1 work)