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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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Supplementary materials: Factors structuring lexical development in toddlers: The effects of parental education, language exposure, and age ...
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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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Non-word repetition in bilingual children: the role of language exposure, vocabulary scores and environmental factors ...
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La ripetizione di non-parole in bambini bilingue, in funzione del loro vocabolario in italiano ...
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First DIHARD Challenge -- System Submissions and Scores ...
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Abstract:
This dataset contains all submissions to the First DIHARD Speech Diarization Challenge (DIHARD I) as well as the output of the official scoring tool for these submissions. We are releasing it to the research community to support the development of new evaluation metrics for speech activity detection/diarization and system combination techniques. For more details about the evaluation, please consult the evaluation plan: https://zenodo.org/record/1199638 or the evaluation website: https://dihardchallenge.github.io/dihard1/index.html **NOTE** that this release only includes the system RTTMs that teams submitted to the DIHARD I scoring server. It does **NOT** include the DIHARD I evaluation set reference RTTMs and UEMs, which are needed to score the system outputs. These reference RTTM/UEM files are distributed by the Linguistic Data Consortium (LDC) as part of LDC2019S12 and LDC2019S13: LDC2019S12 -- First DIHARD Challenge Evaluation - Nine Sources LDC2019S13 -- First DIHARD Challenge Evaluation - SEEDLingS ...
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Keyword:
diarization; DIHARD; domain adaptation; machine learning; speaker diarization; speech activity detection; speech technology; system combination
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URL: https://dx.doi.org/10.5281/zenodo.4563219 https://zenodo.org/record/4563219
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First DIHARD Challenge -- System Submissions and Scores ...
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Learning and Processing Language from Wearables: Opportunities and Challenges ...
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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A thorough evaluation of the Language Environment Analysis (LENA) system
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In: Behav Res Methods (2021)
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