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.

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README.md

Information on tests done comparing different recording devices

Information about the devices tested here.

Procedure

  • 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.
  • 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.
  • We tested 4 different device types + LENA+olympus (whose results I haven't calculated yet).
  • 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!)

Conclusions

Based on this, our current recommendation is this particular USB, which is the cheapest yet leads to a performance above LENA's: MP power @ Clé USB Numérique Enregistreur Flash Memory Stick Voice Dictaphone Recorder 8Go 8Gb 8 Go

If you want to do even better, you can get this one: Enregistreur Vocal 16 Go, Enregistreur Micro Discret Numérique Activation Vocale, Dictaphone Portable Rechargeable par USB MP3 Player pour Cours, Réunions et Entretiens

datacite.yml
Title Information on tests done comparing different wearable audio recording devices
Authors Peurey,Loann;Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d’études cognitives, ENS, EHESS, CNRS, PSL University;ORCID:0000-0003-0509-5494
Cristia,Alejandrina;Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d’études cognitives, ENS, EHESS, CNRS, PSL University;ORCID:0000-0003-2979-45568
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. Procedure: 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. 3) We tested 4 different device types + LENA+olympus (whose results I haven't calculated yet). 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!)
License Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
References
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
Keywords Infancy
Audio
Recording quality
Resource Type Dataset