Abstract
The purpose of this study was to identify acoustic features that can provide effective automatic discrimination between samples of speech with errors produced by children with childhood apraxia of speech (CAS) and error free speech for possible future use in an assistive speech therapy system. Voice samples from seven children previously diagnosed with CAS were used for acoustic analysis that involved derivation of the zero-crossing rate, energy and sub-band energies for a series of words the subjects were asked to repeat. The work in this project shows that a simple energy tracking method can be used to differentiate between words with errors and no errors as spoken by a child undergoing speech therapy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IASTED International Conference on Assistive Technologies, AT 2012 |
| Pages | 882-888 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2nd IASTED International Conference on Assistive Technologies, AT 2012 - Innsbruck, Austria Duration: 15 Feb 2012 → 17 Feb 2012 |
Other
| Other | 2nd IASTED International Conference on Assistive Technologies, AT 2012 |
|---|---|
| Country | Austria |
| City | Innsbruck |
| Period | 15/2/12 → 17/2/12 |
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Keywords
- Assistive software technology
- Assistive technology for learning disabilities
- Assistive technology for speech therapy
- Speech disorder detection
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
Cite this
Using temporal tracking measures to characterize speech of children with childhood apraxia of speech. / Ahmed, Beena; Raja, Fatima A.; Nuguid, Ernesto D.; Al-Shmary, Shatha.
Proceedings of the IASTED International Conference on Assistive Technologies, AT 2012. 2012. p. 882-888.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Using temporal tracking measures to characterize speech of children with childhood apraxia of speech
AU - Ahmed, Beena
AU - Raja, Fatima A.
AU - Nuguid, Ernesto D.
AU - Al-Shmary, Shatha
PY - 2012
Y1 - 2012
N2 - The purpose of this study was to identify acoustic features that can provide effective automatic discrimination between samples of speech with errors produced by children with childhood apraxia of speech (CAS) and error free speech for possible future use in an assistive speech therapy system. Voice samples from seven children previously diagnosed with CAS were used for acoustic analysis that involved derivation of the zero-crossing rate, energy and sub-band energies for a series of words the subjects were asked to repeat. The work in this project shows that a simple energy tracking method can be used to differentiate between words with errors and no errors as spoken by a child undergoing speech therapy.
AB - The purpose of this study was to identify acoustic features that can provide effective automatic discrimination between samples of speech with errors produced by children with childhood apraxia of speech (CAS) and error free speech for possible future use in an assistive speech therapy system. Voice samples from seven children previously diagnosed with CAS were used for acoustic analysis that involved derivation of the zero-crossing rate, energy and sub-band energies for a series of words the subjects were asked to repeat. The work in this project shows that a simple energy tracking method can be used to differentiate between words with errors and no errors as spoken by a child undergoing speech therapy.
KW - Assistive software technology
KW - Assistive technology for learning disabilities
KW - Assistive technology for speech therapy
KW - Speech disorder detection
UR - http://www.scopus.com/inward/record.url?scp=84863707466&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863707466&partnerID=8YFLogxK
U2 - 10.2316/P.2012.766-018
DO - 10.2316/P.2012.766-018
M3 - Conference contribution
AN - SCOPUS:84863707466
SN - 9780889869097
SP - 882
EP - 888
BT - Proceedings of the IASTED International Conference on Assistive Technologies, AT 2012
ER -