Change search
ReferencesLink to record
Permanent link

Direct link
Ranking severity of speech errors by their phonological impact in context
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0001-9327-9482
2014 (English)In: Interspeech, ISSN 2308-457X, 1568-1572 p.Article in journal (Refereed) Published
Abstract [en]

Children with speech disorders often present with systematic speech error patterns. In clinical assessments of speech disorders, evaluating the severity of the disorder is central. Current measures of severity have limited sensitivity to factors like the frequency of the target sounds in the child’s language and the degree of phonological diversity, which are factors that can be assumed to affect intelligibility. By constructing phonological filters to simulate eight speech error patterns often observed in children, and applying these filters to a phonologically transcribed corpus of 350K words, this study explores three quantitative measures of phonological impact: Percentage of Consonants Correct (PCC), edit distance, and degree of homonymy. These metrics were related to estimated ratings of severity collected from 34 practicing clinicians. The results show an expected high correlation between the PCC and edit distance metrics, but that none of the three metrics align with clinicians’ ratings. Although these results do not generate definite answers to what phonological factors contribute the most to (un)intelligibility, this study demonstrates a methodology that allows for large-scale investigations of the interplay between phonological errors and their impact on speech in context, within and across languages.

Place, publisher, year, edition, pages
2014. 1568-1572 p.
Keyword [en]
speech disorders, intelligibility, child speech
National Category
Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-168519ScopusID: 2-s2.0-84910090287OAI: diva2:818656
Conference of 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages

QC 20150609

Available from: 2015-06-09 Created: 2015-06-04 Last updated: 2015-06-09Bibliographically approved

Open Access in DiVA

No full text


Search in DiVA

By author/editor
Strömbergsson, SofiaEdlund, Jens
By organisation
Speech Communication and Technology
In the same journal
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 30 hits
ReferencesLink to record
Permanent link

Direct link