Abstract
Most children with cleft are required to undertake speech therapy after undergoing surgery to repair their craniofacial defect. However, the untrained ear of a parent can lead to incorrect practice resulting in the development of compensatory structures. Even worse, the boring nature of the cleft speech therapy often causes children to abandon home exercises and therapy altogether. We have developed a simple recognition system capable of detecting impairments on the phoneme level with high accuracy. We embed this into a game environment and provide it to a cleft palate specialist team for pilot testing with children 2 to 5 years of age being evaluated for speech therapy. The system consistently detected cleft speech in high-pressure consonants in 3 out of our 5 sentences. Doctors agreed that this would improve the quality of therapy outside of the office. Children enjoyed the game overall, but grew bored due to the delays of phrase-based speech recognition.
| Original language | English (US) |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 283-286 |
| Number of pages | 4 |
| Volume | 8548 LNCS |
| Edition | PART 2 |
| ISBN (Print) | 9783319085982 |
| DOIs | |
| State | Published - 2014 |
| Event | 14th International Conference on Computers Helping People with Special Needs, ICCHP 2014 - Paris, France Duration: Jul 9 2014 → Jul 11 2014 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 2 |
| Volume | 8548 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 14th International Conference on Computers Helping People with Special Needs, ICCHP 2014 |
|---|---|
| Country | France |
| City | Paris |
| Period | 7/9/14 → 7/11/14 |
Fingerprint
Keywords
- Child Speech Therapy
- Therapeutic Games
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Results from using automatic speech recognition in cleft speech therapy with children. / Rubin, Zachary; Kurniawan, Sri; Tollefson, Travis Tate.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8548 LNCS PART 2. ed. Springer Verlag, 2014. p. 283-286 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8548 LNCS, No. PART 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Results from using automatic speech recognition in cleft speech therapy with children
AU - Rubin, Zachary
AU - Kurniawan, Sri
AU - Tollefson, Travis Tate
PY - 2014
Y1 - 2014
N2 - Most children with cleft are required to undertake speech therapy after undergoing surgery to repair their craniofacial defect. However, the untrained ear of a parent can lead to incorrect practice resulting in the development of compensatory structures. Even worse, the boring nature of the cleft speech therapy often causes children to abandon home exercises and therapy altogether. We have developed a simple recognition system capable of detecting impairments on the phoneme level with high accuracy. We embed this into a game environment and provide it to a cleft palate specialist team for pilot testing with children 2 to 5 years of age being evaluated for speech therapy. The system consistently detected cleft speech in high-pressure consonants in 3 out of our 5 sentences. Doctors agreed that this would improve the quality of therapy outside of the office. Children enjoyed the game overall, but grew bored due to the delays of phrase-based speech recognition.
AB - Most children with cleft are required to undertake speech therapy after undergoing surgery to repair their craniofacial defect. However, the untrained ear of a parent can lead to incorrect practice resulting in the development of compensatory structures. Even worse, the boring nature of the cleft speech therapy often causes children to abandon home exercises and therapy altogether. We have developed a simple recognition system capable of detecting impairments on the phoneme level with high accuracy. We embed this into a game environment and provide it to a cleft palate specialist team for pilot testing with children 2 to 5 years of age being evaluated for speech therapy. The system consistently detected cleft speech in high-pressure consonants in 3 out of our 5 sentences. Doctors agreed that this would improve the quality of therapy outside of the office. Children enjoyed the game overall, but grew bored due to the delays of phrase-based speech recognition.
KW - Child Speech Therapy
KW - Therapeutic Games
UR - http://www.scopus.com/inward/record.url?scp=84904216997&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904216997&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-08599-9_43
DO - 10.1007/978-3-319-08599-9_43
M3 - Conference contribution
AN - SCOPUS:84904216997
SN - 9783319085982
VL - 8548 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 283
EP - 286
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -