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1
Vocal development in a large‐scale crosslinguistic corpus
In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03498978 ; Developmental Science, Wiley, 2021, 24 (5), ⟨10.1111/desc.13090⟩ (2021)
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Vocal development in a large-scale crosslinguistic corpus.
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3
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
Bergmann, Christina; Nave, Karli M; Seidl, Amanda. - : SAGE Publications, 2021
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4
A thorough evaluation of the Language Environment Analysis (LENA) system
In: Behav Res Methods (2021)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020)
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A thorough evaluation of the Language Environment Analysis (LENATM) system
In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-02989519 ; Behavior Research Methods, Psychonomic Society, Inc, 2020, ⟨10.31219/osf.io/mxr8s⟩ (2020)
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A thorough evaluation of the Language Environment Analysis (LENA) system
In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03095997 ; Behavior Research Methods, Psychonomic Society, Inc, 2020, 53 (2), pp.467-486. ⟨10.3758/s13428-020-01393-5⟩ (2020)
Abstract: International audience ; In the previous decade, dozens of studies involving thousands of children across several research disciplines have made use of a combined daylong audio-recorder and automated algorithmic analysis called the LENA system, which aims to assess children's language environment. While the system's prevalence in the language acquisition domain is steadily growing, there are only scattered validation efforts on only some of its key characteristics. Here, we assess the LENA system's accuracy across all of its key measures: speaker classification, Child Vocalization Counts (CVC), Conversational Turn Counts (CTC), and Adult Word Counts (AWC). Our assessment is based on manual annotation of clips that have been randomly or periodically sampled out of daylong recordings, collected from (a) populations similar to the system's original training data (North American English-learning children aged 3-36 months), (b) children learning another dialect of English (UK), and (c) slightly older children growing up in a different linguistic and socio-cultural setting (Tsimane' learners in rural Bolivia). We find reasonably high accuracy in some measures (AWC, CVC), with more problematic levels of performance in others (CTC, precision of male adults and other children). Statistical analyses do not support the view that performance is worse for children who are dissimilar from the LENA original training set. Whether LENA results are accurate enough for a given research, educational, or clinical application depends largely on the specifics at hand. We therefore conclude with a set of recommendations to help researchers make this determination for their goals.
Keyword: [SCCO.LING]Cognitive science/Linguistics; [SCCO.PSYC]Cognitive science/Psychology
URL: https://hal.archives-ouvertes.fr/hal-03095997/file/main_document.pdf
https://hal.archives-ouvertes.fr/hal-03095997
https://hal.archives-ouvertes.fr/hal-03095997/document
https://doi.org/10.3758/s13428-020-01393-5
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8
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
In: ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, vol 3, iss 1 (2020)
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9
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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10
A Collaborative Approach to Infant Research: Promoting Reproducibility, Best Practices, and Theory-Building.
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11
Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review
In: J Speech Lang Hear Res (2020)
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12
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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13
BabbleCor: A Crosslinguistic Corpus of Babble Development in Five Languages ...
Cychosz, Meg; Seidl, Amanda; Bergelson, Elika. - : Open Science Framework, 2019
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14
The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity
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15
ENHANCEMENT AND ANALYSIS OF CONVERSATIONAL SPEECH: JSALT 2017
Profant, Jan; Tsao, Yu; Du, Jun. - : IEEE, 2018
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16
A Collaborative Approach to Infant Research: Promoting Reproducibility, Best Practices, and Theory-Building
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17
HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings.
VanDam, Mark; Warlaumont, Anne S; Bergelson, Elika. - : Georg Thieme Verlag KG, 2016
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HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings
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