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Low-dimensional representation of infant and adult vocalization acoustics ...
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Vocal development in a large-scale crosslinguistic corpus.
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Cychosz, Margaret; Scaff, Camila; Warlaumont, Anne S; Casillas, Marisa; Seidl, Amanda; Bergelson, Elika; Baudet, Gladys; Cristia, Alejandrina; Yankowitz, Lisa. - : Wiley, 2021
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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" versus "ee"). Results revealed that the proportion of clips reported to contain canonical transitions increased with age. Further, 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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Keyword:
babbling; crosslinguistic; crowdsourcing; infants; naturalistic recording; speech; vocal development
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URL: https://hdl.handle.net/10161/22274
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Developing a Cross-Cultural Annotation System and MetaCorpus for Studying Infants’ Real World Language Experience
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Adult responses to infant prelinguistic vocalizations are associated with infant vocabulary: A home observation study.
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In: PloS one, vol 15, iss 11 (2020)
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What Do North American Babies Hear? A large-scale cross-corpus analysis.
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The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity
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Language Origins Viewed in Spontaneous and Interactive Vocal Rates of Human and Bonobo Infants
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What Do North American Babies Hear? A large-scale cross-corpus analysis
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The early emergence and puzzling decline of relational reasoning: Effects of knowledge and search on inferring abstract concepts.
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The early emergence and puzzling decline of relational reasoning: Effects of knowledge and search on inferring abstract concepts.
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HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings.
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Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
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HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings
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Functional flexibility of infant vocalization and the emergence of language
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Prespeech motor learning in a neural network using reinforcement☆
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Data-driven automated acoustic analysis of human infant vocalizations using neural network tools
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