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How much does prosody help word segmentation? A simulation study on infant-directed speech
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03498888 ; Cognition, Elsevier, 2022, 219, pp.104961. ⟨10.1016/j.cognition.2021.104961⟩ (2022)
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Is there a bilingual disadvantage for word segmentation? A computational modeling approach
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In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498905 ; Journal of Child Language, Cambridge University Press (CUP), 2021, pp.1-28. ⟨10.1017/S0305000921000568⟩ (2021)
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SCALa: A blueprint for computational models of language acquisition in social context
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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Vocal development in a large‐scale crosslinguistic corpus
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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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Toward Cumulative Cognitive Science: A Comparison of Meta-Analysis, Mega-Analysis, and Hybrid Approaches
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In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03498941 ; Open Mind, MIT Press, 2021, 5, pp.154-173. ⟨10.1162/opmi_a_00048⟩ (2021)
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Socioeconomic status correlates with measures of Language Environment Analysis (LENA) system: a meta-analysis
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In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498959 ; Journal of Child Language, Cambridge University Press (CUP), In press, pp.1-15. ⟨10.1017/S0305000921000441⟩ (2021)
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The effect of Crianza Positiva e-messaging program on adult-child language interactions
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In: Behavioral Public Policy ; https://hal.archives-ouvertes.fr/hal-03498848 ; Behavioral Public Policy, 2021 (2021)
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Describing Vocalizations in Young Children: A Big Data Approach Through Citizen Science Annotation
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In: ISSN: 1092-4388 ; EISSN: 1558-9102 ; Journal of Speech, Language, and Hearing Research ; https://hal.archives-ouvertes.fr/hal-03498946 ; Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2021, 64 (7), pp.2401-2416. ⟨10.1044/2021_JSLHR-20-00661⟩ (2021)
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Seshat: A tool for managing and verifying annotation campaigns of audio data
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02496041 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6976-6982 (2020)
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An open-source voice type classifier for child-centered daylong recordings
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In: Interspeech 2020 - Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02989487 ; Interspeech 2020 - Conference of the International Speech Communication Association, Oct 2020, Shanghai / Virtual, China (2020)
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Language input and outcome variation as a test of theory plausibility: The case of early phonological acquisition
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In: ISSN: 0273-2297 ; EISSN: 1090-2406 ; Developmental Review ; https://hal.archives-ouvertes.fr/hal-03096004 ; Developmental Review, Elsevier, 2020, 57, pp.100914. ⟨10.1016/j.dr.2020.100914⟩ (2020)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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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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Infant-directed input and literacy effects on phonological processing: Non-word repetition scores among the Tsimane’
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-03096010 ; PLoS ONE, Public Library of Science, 2020, 15 (9), ⟨10.1371/journal.pone.0237702⟩ (2020)
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Addressing Publication Bias in Meta-Analysis
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In: ISSN: 0044-3409 ; Journal of Psychology / Zeitschrift für Psychologie ; https://hal.archives-ouvertes.fr/hal-03096016 ; Journal of Psychology / Zeitschrift für Psychologie, Hogrefe, 2020, 228 (1), pp.50-61. ⟨10.1027/2151-2604/a000393⟩ (2020)
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A thorough evaluation of the Language Environment Analysis (LENATM) system
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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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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.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-02989519 https://doi.org/10.31219/osf.io/mxr8s
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A thorough evaluation of the Language Environment Analysis (LENA) system
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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)
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Speaker detection in the wild: Lessons learned from JSALT 2019
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In: Odyssey 2020 The Speaker and Language Recognition Workshop ; https://hal.archives-ouvertes.fr/hal-02417632 ; Odyssey 2020 The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan (2020)
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Longform recordings : Opportunities and challenges ; Enregistrements de longue durée: Opportunités et défis
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In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; LIFT 2020 - 2èmes journées scientifiques du Groupement de Recherche "Linguistique informatique, formelle et de terrain" ; https://hal.archives-ouvertes.fr/hal-03047153 ; LIFT 2020 - 2èmes journées scientifiques du Groupement de Recherche "Linguistique informatique, formelle et de terrain", Dec 2020, Montrouge / Virtual, France. pp.64-71 (2020)
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End-to-end Domain-Adversarial Voice Activity Detection
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In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02989502 ; Interspeech 2020, Nov 2020, Shanghai, France (2020)
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Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
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In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-02274050 ; Open Mind, MIT Press, 2019, 3, pp.13-22. ⟨10.1162/opmi_a_00022⟩ (2019)
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