STAN: A stuttering therapy analysis helper
- Stuttering is a complex speech disorder identified by repetitions, prolongations of sounds, syllables or words and blockswhile speaking. Specific stuttering behaviour differs strongly,thus needing personalized therapy. Therapy sessions requirea high level of concentration by the therapist. We introduce STAN, a system to aid speech therapists in stuttering therapysessions. Such an automated feedback system can lower the cognitive load on the therapist and thereby enable a more consistent therapy as well as allowing analysis of stuttering over the span of multiple therapy sessions.
| Author: | Sebastian P. Bayerl, Marc WenningerORCID, Jochen SchmidtORCID, Alexander Wolff von Gudenberg, Korbinian Riedhammer |
|---|---|
| Parent Title (English): | 2021 IEEE Spoken Language Technology Workshop (SLT) |
| Document Type: | Conference Publication |
| Language: | English |
| Publication Year: | 2021 |
| Release Date: | 2021/08/02 |
| Tag: | Machine Learning |
| Page Number: | 2 |
| faculties / departments: | Fakultät für Informatik |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
