TysonStanley/autoscore: Automatically Score Word Identification in Speech Perception

Automatically scores orthographic listener transcripts for words correctly identified. This is useful for speech perception research, such as studies examining listener understanding of speech in background noise or disordered speech, as well as clinical disciplines where listener perception of words correct are used to determine intelligibility of client’s speech or their ability to understand speech.

install.packages("remotes")
remotes::install_github("TysonStanley/autoscore")