STAN: A stuttering therapy analysis helper
Sebastian P. Bayerl, Marc Wenninger, Jochen Schmidt, Alexander Wolff, von Gudenberg, Korbinian Riedhammer

TL;DR
STAN is a system designed to assist speech therapists by providing automated feedback during stuttering therapy sessions, reducing their cognitive load and enabling more consistent and analyzable treatment.
Contribution
The paper introduces STAN, a novel system that aids speech therapists with automated feedback, improving therapy consistency and enabling longitudinal analysis.
Findings
Reduces therapist cognitive load during sessions
Enables analysis of stuttering over multiple sessions
Supports personalized therapy approaches
Abstract
Stuttering is a complex speech disorder identified by repeti-tions, 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 introduceSTAN, a system to aid speech therapists in stuttering therapysessions. Such an automated feedback system can lower thecognitive load on the therapist and thereby enable a more con-sistent therapy as well as allowing analysis of stuttering overthe span of multiple therapy sessions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStuttering Research and Treatment · Phonetics and Phonology Research · Language Development and Disorders
