Räsänen, Okko
Seshadri, Shreyas http://orcid.org/0000-0003-1731-3129
Karadayi, Julien
Riebling, Eric
Bunce, John http://orcid.org/0000-0002-1654-1384
Cristia, Alejandrina http://orcid.org/0000-0003-2979-4556
Metze, Florian
Casillas, Marisa
Rosemberg, Celia
Bergelson, Elika
Soderstrom, Melanie
Funding for this research was provided by:
Academy of Finland (312105)
Social Sciences and Humanities Research Council of Canada
NWO (275-89-033)
Academy of Finland (314602)
Social Sciences and Humanities Research Council of Canada (869-2016-0003, 435-2015-0628)
Agence Nationale de la Recherche (ANR-14-CE30-0003 MechELex, ANR-17-EURE-0017)
NIH (DP5-OD019812)
CONICET (PIP 80/201, PICT 3327/2014)
This article is maintained by: Elsevier
Article Title: Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
Journal Title: Speech Communication
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.specom.2019.08.005
Content Type: article
Copyright: © 2019 The Authors. Published by Elsevier B.V.