Computational basis of contextually grounded language acquisition in humans and machines

Project Details

Short titleLangMod
StatusFinished
Effective start/end date31/12/201731/12/2017

Research Output

  • 4 Conference contribution
  • 4 Article

ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings

Räsänen, O., Seshadri, S., Lavechin, M., Cristia, A. & Casillas, M., 1 Jan 2020, (Accepted/In press) In : Behavior Research Methods. 18 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
  • Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors

    Airaksinen, M., Räsänen, O., Ilen, E., Häyrinen, T., Kivi, A., Marchi, V., Gallen, A., Blom, S., Varhe, A., Kaartinen, N., Haataja, L. & Vanhatalo, S., 13 Jan 2020, In : Scientific Reports. 10, 1, 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 5 Citations (Scopus)
    91 Downloads (Pure)

    A computational model of early language acquisition from audiovisual experiences of young infants

    Räsänen, O. & Khorrami, K., 1 Jan 2019, Proceedings of Interspeech. International Speech Communication Association, Vol. 2019-September. p. 3594-3598 5 p. (Interspeech - Annual Conference of the International Speech Communication Association).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
  • 29 Downloads (Pure)