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21
Mothers' Work Status and 17-month-olds' Productive Vocabulary.
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22
Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review.
Cristia, Alejandrina; Bulgarelli, Federica; Bergelson, Elika. - : American Speech Language Hearing Association, 2020
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23
Point, walk, talk: Links between three early milestones, from observation and parental report.
Bergelson, Elika; Amatuni, Andrei; Garrison, Hallie. - : American Psychological Association (APA), 2020
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24
Preserved Structure Across Vector Space Representations.
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25
Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings.
Bulgarelli, Federica; Bergelson, Elika. - : Springer Science and Business Media LLC, 2020
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26
What Do North American Babies Hear? A large-scale cross-corpus analysis.
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27
A Collaborative Approach to Infant Research: Promoting Reproducibility, Best Practices, and Theory-Building.
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28
Familiarity plays a small role in noun comprehension at 12–18 months
In: Infancy (2020)
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29
From babble to words: Infants’ early productions match words and objects in their environment
In: Cogn Psychol (2020)
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30
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
In: Advances in Methods and Practices in Psychological Science ; 3 (2020), 1. - S. 24-52. - Sage Publishing. - ISSN 2515-2459. - eISSN 2515-2467 (2020)
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31
From babble to words: Infants’ early productions match words and objects in their environment
Laing, Catherine; Bergelson, Elika. - : Elsevier, 2020
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32
From babble to words: Infants’ early productions match words and objects in their environment
Laing, Catherine; Bergelson, Elika. - : Elsevier, 2020
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33
The Comprehension Boost in Early Word Learning: Older Infants Are Better Learners
In: Child Dev Perspect (2020)
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34
Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review
In: J Speech Lang Hear Res (2020)
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35
Look who’s talking: A comparison of automated and human-generated speaker tags in naturalistic daylong recordings
In: Behav Res Methods (2020)
Abstract: The LENA system has revolutionized research on language acquisition, providing both a wearable device to collect daylong recordings of children’s environments, and a set of automated outputs that process, identify, and classify speech using proprietary algorithms. This output includes information about input sources (e.g. adult male, electronics). While this system has been tested across a variety of settings, here we delve deeper into validating the accuracy and reliability of LENA’s automated diarization, i.e. tags of who is talking. Specifically, we compare LENA’s output with a gold standard set of manually-generated talker tags from a dataset of 88 daylong recordings, taken from 44 infants at 6 and 7 months, which includes 57,983 utterances. We compare accuracy across a range of classifications from the original Lena Technical Report, alongside a set of analyses examining classification accuracy by utterance type (e.g. declarative, singing). Consistent with previous validations, we find overall high agreement between the human and LENA-generated speaker tags for adult speech in particular, with poorer performance identifying child, overlap, noise, and electronic speech (accuracy range across all measures: 0–92%). We discuss several clear benefits of using this automated system alongside potential caveats based on the error patterns we observe, concluding with implications for research using LENA-generated speaker tags.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980911/
http://www.ncbi.nlm.nih.gov/pubmed/31342467
https://doi.org/10.3758/s13428-019-01265-7
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36
Quantifying sources of variability in infancy research using the infant-directed-speech preference
Krieger, Andrea A.; Alcock, Katherine J.; Levelt, Claartje. - : U.S., Sage Publications, 2020
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37
BabbleCor: A Crosslinguistic Corpus of Babble Development in Five Languages ...
Cychosz, Meg; Seidl, Amanda; Bergelson, Elika. - : Open Science Framework, 2019
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38
The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity
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39
Mothers’ work status and 17‐month‐olds’ productive vocabulary
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40
Mothers’ work status and 17‐month‐olds’ productive vocabulary
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