Assessment Software
For researchers and clinicians
Below are links to freely available software tools we have developed through our research program. We are constantly developing more as part of our funded research studies, so be sure to check back often!
| Software and link | What it does | Original source |
| CHIRP
(Chapel Hill Recording Program)
|
Chapel Hill Recording Program. Matlab-based interface for the Chapel Hill Multilingual Intelligibility Test (CHMIT; English monosyllabic version). Administer a single word test and score it based on a write-down response. . Requires the Matlab compiler runtime (free), but not full Matlab) | Haley et al. (2011)
|
| Phonemic Edit Distance
|
Calculate the percent of target phonemes that are produced as phonemic errors ( substitutions, additions,Ìý omissions). Requires phonetically transcribed target and response. . | Smith et al. (2019)
|
| Lexical Diversity Measures | Word Information Measure (WIM), a measure of lexical diversity derived from Shannon entropy of character strings and Moving Average Type Token Ratio (MATTR). R code by Kevin Cunningham found. Web-based Shiny app by Rob Cavanaugh found | Cunningham & Haley (2020) |
| Word Complexity Measure (WCM)
|
A measure of the phonetic complexity of words spoken in discourse or isolation (English). R code found . Web-based Shiny app can be accessed . | Stoel-Gammon (2010)
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| Word Complexity Measure Ratio (WCM ratio) | Computes the ratio of word complexity measure for target words and produced words, transcribed in machine-readable Klattese IPA. Web-based Shiny app can be accessed . |
Funding support:
NIDCD018569
References:
Cunningham KT & Haley KLÌý(2020). Measuring lexical diversity for discourse analysis in aphasia: MATTR and WIM.ÌýJournal of Speech-Language Hearing Research, 63 (3), 710-721.
Haley KL,ÌýRoth H, Grindstaff E, & Jacks AP. (2011). Computer-mediated intelligibility testing in aphasia and AOS. Aphasiology.Ìý25(12),Ìý1600-1620
Smith M., Cunningham K., & Haley KLÌý(2019). Automated error frequency analysis via the phonemic edit distance ratio.ÌýJournal of Speech-Language Hearing Research,Ìý62, 1719-1723.Ìý
Stoel-Gammon C. (2010). The Word Complexity Measure: Description and application to developmental phonology and disorders. Clinical Linguistics & Phonetics,Ìý24(4–5), pp. 271–282.Ìý