ArticleDevelopmental science2021
Vocal development in a large-scale crosslinguistic corpus.
Article in Developmental science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed.
- Connecting Preschoolers' Spontaneous Speech Patterns to Future Language Skills: A 3-Year Concurrent and Longitudinal Cohort Study of Canonical Proportion as a Developmental Index.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Toward a Fuller Integration of Respiratory Rhythms Into Research on Infant Vocal and Motor Development.Annals of the New York Academy of Sciences · 2026Review
- Predicting Social Competence in Autistic and Non-Autistic Children: Effects of Prosody and the Amount of Speech Input.Journal of autism and developmental disorders · 2025Article
- Evaluating canonical babbling ratios extracted from day-long audio recordings in infants later diagnosed with autism spectrum disorder.Infant behavior & development · 2025Article
- Vocal Characteristics of Children With Cerebral Palsy and Anarthria.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Infants who are rarely spoken to nevertheless understand many words.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Globally, songs and instrumental melodies are slower and higher and use more stable pitches than speech: A Registered Report.Science advances · 2024Article
- Within arms reach: Physical proximity shapes mother-infant language exchanges in real-time.Developmental cognitive neuroscience · 2023Article
- Embodied and Embedded Learning: Child, Caregiver, and Context.Current directions in psychological science · 2023Article
- Combining observational and experimental approaches to the development of language and communication in rural samples: Opportunities and challenges.Journal of child language · 2023Article
- Talking to talkers: Infants' talk status, but not their gender, is related to language input.Child development · 2023Article
- Emerging Verbal Functions in Early Infancy: Lessons from Observational and Computational Approaches on Typical Development and Neurodevelopmental Disorders.Advances in neurodevelopmental disorders · 2022Article
- LANGUAGE EXPOSURE PREDICTS CHILDREN'S PHONETIC PATTERNING: EVIDENCE FROM LANGUAGE SHIFT.Language · 2022Article
- Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life.Molecular autism · 2022Article
- Describing Vocalizations in Young Children: A Big Data Approach Through Citizen Science Annotation.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives.Frontiers in psychology · 2021Article
- Quantifying Talker Variability in North-American Infants' Daily Input.Cognitive science · 2021Article
- Longform recordings of everyday life: Ethics for best practices.Behavior research methods · 2020Article
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Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
This study evaluates whether early vocalizations develop in similar ways in children across diverse cultural contexts. We analyze data from daylong audio recordings of 49 children (1-36 months) from five different language/cultural backgrounds. Citizen scientists annotated these recordings to determine if child vocalizations contained canonical transitions or not (e.g., "ba" vs. "ee"). Results revealed that the proportion of clips reported to contain canonical transitions increased with age. Furthermore, this proportion exceeded 0.15 by around 7 months, replicating and extending previous findings on canonical vocalization development but using data from the natural environments of a culturally and linguistically diverse sample. This work explores how crowdsourcing can be used to annotate corpora, helping establish developmental milestones relevant to multiple languages and cultures. Lower inter-annotator reliability on the crowdsourcing platform, relative to more traditional in-lab expert annotators, means that a larger number of unique annotators and/or annotations are required, and that crowdsourcing may not be a suitable method for more fine-grained annotation decisions. Audio clips used for this project are compiled into a large-scale infant vocalization corpus that is available for other researchers to use in future work.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.