longform-hardware-audio-test/datacite.yml

authors:
  -
    firstname: Loann
    lastname: Peurey
    affiliation: 'Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d’études cognitives, ENS, EHESS, CNRS, PSL University'
    id: 'ORCID:0000-0003-0509-5494'
  -
    firstname: Alejandrina
    lastname: Cristia
    affiliation: 'Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d’études cognitives, ENS, EHESS, CNRS, PSL University'
    id: 'ORCID:0000-0003-2979-45568'
title: 'Information on tests done comparing different wearable audio recording devices'
description: "We compare various USB and LENA devices that could be used to collect long-form-recording quality data. These devices could be worn for long periods of time (hours at a time), and are typically used in the context of child-centered research. \n Procedure:\n 1) We created a "source" file with 5 mins from a CHILDES corpus (Thomas) and 5 mins from Seedlings -- this is the file called chain_inout.wav. \ 2) We played it from a mac computer with all of the devices in an array in front of the computer, in a sound-proof booth. \n 3) We tested 4 different device types + LENA+olympus (whose results I haven't calculated yet). \n 4) We then analyzed all of the sound files with our VTC and calculated % frames correctly classified (as FEM MAL CHI & silence -- there was no other child in these audios, an issue to improve in the next test!)"
keywords:
  - Infancy
  - Audio
  - 'Recording quality'
license:
  name: 'Attribution 4.0 International (CC BY 4.0)'
  url: 'https://creativecommons.org/licenses/by/4.0/'
funding:
  - 'Agence Nationale de la Recherche, ANR-16-DATA-0004 ACLEW'
  - 'Agence Nationale de la Recherche, ANR-17-EURE-0017'
  - 'J. S. McDonnell Foundation, Understanding Human Cognition Scholar Award'
  - 'European Research Council, ExELang 101001095'
  - 'National Science Foundation, OCI-1053575'
  - 'National Science Foundation, ACI-1445606'
references: []
resourcetype: Dataset
templateversion: 1.2