Automating Error Frequency Analysis via the Phonemic Edit Distance Ratio.

Clicks: 126
ID: 39444
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #27 of 30 articles by views in Journal of speech, language, and hearing research : JSLHR

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Purpose Many communication disorders result in speech sound errors that listeners perceive as phonemic errors. Unfortunately, manual methods for calculating phonemic error frequency are prohibitively time consuming to use in large-scale research and busy clinical settings. The purpose of this study was to validate an automated analysis based on a string metric-the unweighted Levenshtein edit distance-to express phonemic error frequency after left hemisphere stroke. Method Audio-recorded speech samples from 65 speakers who repeated single words after a clinician were transcribed phonetically. By comparing these transcriptions to the target, we calculated the percent segments with a combination of phonemic substitutions, additions, and omissions and derived the phonemic edit distance ratio, which theoretically corresponds to percent segments with these phonemic errors. Results Convergent validity between the manually calculated error frequency and the automated edit distance ratio was excellent, as demonstrated by nearly perfect correlations and negligible mean differences. The results were replicated across 2 speech samples and 2 computation applications. Conclusions The phonemic edit distance ratio is well suited to estimate phonemic error rate and proves itself for immediate application to research and clinical practice. It can be calculated from any paired strings of transcription symbols and requires no additional steps, algorithms, or judgment concerning alignment between target and production. We recommend it as a valid, simple, and efficient substitute for manual calculation of error frequency.
Reference Key
smith2019automatingjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Smith, Michael;Cunningham, Kevin T;Haley, Katarina L;
Journal Journal of speech, language, and hearing research : JSLHR
Year 2019
DOI
10.1044/2019_JSLHR-S-18-0423
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.