Automatically score word identification in speech perception research, such as studies involving listener understanding of speech in background noise or disordered speech. The program uses a flexible number of rules that determine whether a response set of words (i.e., listener transcriptions) match a target set of words (i.e., speech corpus). At the most basic level, Autoscore counts words in the listener transcript as correct if they match the words in the target phrase exactly (regardless of word order), or match a homophone or common misspelling of the target word. Individual rules can be applied or removed, depending on the needs of researcher and the scoring rules of the research lab.
|Maintainer||Tyson S. Barrett <[email protected]>|
|License||GPL-3 + file LICENSE|
|Package repository||View on GitHub|
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