Using automated syllable counting to detect missing information in speech transcripts from clinical settings

Oppslag i Cristin

https://app.cristin.no/results/show.jsf?id=2058268

ARKIV

https://hdl.handle.net/10037/27690

DOI

https://doi.org/10.1016/j.psychres.2022.114712