Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Lucas Gautheron

Biographic Data

ID6917842
NAMELucas Gautheron
GIVEN NAMESLucas
FAMILY NAMEGautheron
SIGNATUREGAUTHERON L
AFFILIATIONSCentre National de la Recherche Scientifique
ORCID0000-0002-3776-3373
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS2
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Establishing the reliability of metrics extracted from long-form recordings using Lena and the Aclew pipeline

    Open Access•Alejandrina Cristia, Lucas Gautheron et al.•ARTICLE•Behavior Research Methods•2024

    Long-form audio recordings are increasingly used to study individual variation, group differences, and many other topics in theoretical and applied fields of developmental science, particularly for the description of children's language input (typically speech from adults) and children's language output (ranging from babble to sentences). The proprietary LENA software has been available for over a decade, and with it, users have come to rely on d…

  • How research programs come apart

    Open Access•Lucas Gautheron, Elisa Omodei•ARTICLE•Quantitative Science Studies•2023

    According to Peter Galison, the coordination of different “subcultures” within a scientific field happens through local exchanges within “trading zones.” In his view, the workability of such trading zones is not guaranteed, and science is not necessarily driven towards further integration. In this paper, we develop and apply quantitative methods (using semantic, authorship, and citation data from scientific literature), inspired by Galison’s fram…

  • Vocal input and output among infants in a multilingual context

    Alejandrina Cristia, Lucas Gautheron et al.•PREPRINT•2023

    What are the vocal experiences of children growing up on Malakula island, Vanuatu, where multilingualism is the norm? Long-form audio-recordings captured spontaneous speech behavior by, and around, 38 children (5-33 months, 23 girls) from 11 villages. Automated analyses revealed most children's vocal input came from female adults and other children’s voices, with small contributions from male adult voices. The greatest changes with age involved a…

  • Vocal input and output among infants in a multilingual context

    Open Access•Alejandrina Cristia, Lucas Gautheron et al.•ARTICLE•Developmental Science•2023

    What are the vocal experiences of children growing up on Malakula island, Vanuatu, where multilingualism is the norm? Long-form audio-recordings captured spontaneous speech behavior by, and around, 38 children (5-33 months, 23 girls) from 11 villages. Automated analyses revealed most children's vocal input came from female adults and other children's voices, with small contributions from male adult voices. The greatest changes with age involved a…

  • Managing, storing, and sharing long-form recordings and their annotations

    Lucas Gautheron, Nicolas Rochat et al.•PREPRINT•2021

    The technique of long-form recordings via wearables is gaining momentum in different fields of research, notably linguistics and pathology. This technique, however, poses several technical challenges, some of which are amplified by the peculiarities of the data, including their sensitivity and their volume. In this paper, we begin by outlining key problems related to the management, storage, and sharing of the corpora that emerge when using this …

  • Reverse engineering language acquisition with child-centered long-form recordings

    Marvin Lavechin, Maureen de Seyssel et al.•PREPRINT•2021

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings - that is, audio (including speech) over whole days. The hardware and software underlying this technique is increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received …

  • Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings

    Marvin Lavechin, Maureen de Seyssel et al.•ARTICLE•Annual Review of Linguistics•2021•Cited by: 2•References: 3

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings—that is, audio (including speech) over whole days. The hardware and software underlying this technique are increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received b…

  • Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings

    Marvin Lavechin, Maureen de Seyssel et al.•ARTICLE•Annual Review of Linguistics•2021•Cited by: 2•References: 3

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings—that is, audio (including speech) over whole days. The hardware and software underlying this technique are increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received b…

  • Managing, storing, and sharing long-form recordings and their annotations

    Lucas Gautheron, Nicolas Rochat et al.•PREPRINT•2021

    The technique of long-form recordings via wearables is gaining momentum in different fields of research, notably linguistics and pathology. This technique, however, poses several technical challenges, some of which are amplified by the peculiarities of the data, including their sensitivity and their volume. In this paper, we begin by outlining key problems related to the management, storage, and sharing of the corpora that emerge when using this …

  • Reverse engineering language acquisition with child-centered long-form recordings

    Marvin Lavechin, Maureen de Seyssel et al.•PREPRINT•2021

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings - that is, audio (including speech) over whole days. The hardware and software underlying this technique is increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received …

  • Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings

    Marvin Lavechin, Maureen de Seyssel et al.•ARTICLE•Annual Review of Linguistics•2021•Cited by: 2•References: 3

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings—that is, audio (including speech) over whole days. The hardware and software underlying this technique are increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received b…

  • How research programs come apart

    Open Access•Lucas Gautheron, Elisa Omodei•ARTICLE•Quantitative Science Studies•2023

    According to Peter Galison, the coordination of different “subcultures” within a scientific field happens through local exchanges within “trading zones.” In his view, the workability of such trading zones is not guaranteed, and science is not necessarily driven towards further integration. In this paper, we develop and apply quantitative methods (using semantic, authorship, and citation data from scientific literature), inspired by Galison’s fram…

  • Vocal input and output among infants in a multilingual context

    Alejandrina Cristia, Lucas Gautheron et al.•PREPRINT•2023

    What are the vocal experiences of children growing up on Malakula island, Vanuatu, where multilingualism is the norm? Long-form audio-recordings captured spontaneous speech behavior by, and around, 38 children (5-33 months, 23 girls) from 11 villages. Automated analyses revealed most children's vocal input came from female adults and other children’s voices, with small contributions from male adult voices. The greatest changes with age involved a…

  • Vocal input and output among infants in a multilingual context

    Open Access•Alejandrina Cristia, Lucas Gautheron et al.•ARTICLE•Developmental Science•2023

    What are the vocal experiences of children growing up on Malakula island, Vanuatu, where multilingualism is the norm? Long-form audio-recordings captured spontaneous speech behavior by, and around, 38 children (5-33 months, 23 girls) from 11 villages. Automated analyses revealed most children's vocal input came from female adults and other children's voices, with small contributions from male adult voices. The greatest changes with age involved a…

  • Establishing the reliability of metrics extracted from long-form recordings using Lena and the Aclew pipeline

    Open Access•Alejandrina Cristia, Lucas Gautheron et al.•ARTICLE•Behavior Research Methods•2024

    Long-form audio recordings are increasingly used to study individual variation, group differences, and many other topics in theoretical and applied fields of developmental science, particularly for the description of children's language input (typically speech from adults) and children's language output (ranging from babble to sentences). The proprietary LENA software has been available for over a decade, and with it, users have come to rely on d…

Computer Science (4 works) · Language acquisition (4 works) · Language Development and Disorders (4 works) · Psychology (4 works) · Developmental psychology (3 works) · Natural language processing (3 works) · Phonetics and Phonology Research (3 works) · Programming language (3 works) · Wearable computer (3 works) · Artificial Intelligence (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae