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KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stuttering

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arxiv 2203.05383 v2 pith:5TQG3NC5 submitted 2022-03-10 eess.AS cs.CL

classification eess.AScs.CL
keywords speechtherapyfluencydatasetstutteringabilityhelppwss
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Stuttering is a complex speech disorder that negatively affects an individual's ability to communicate effectively. Persons who stutter (PWS) often suffer considerably under the condition and seek help through therapy. Fluency shaping is a therapy approach where PWSs learn to modify their speech to help them to overcome their stutter. Mastering such speech techniques takes time and practice, even after therapy. Shortly after therapy, success is evaluated highly, but relapse rates are high. To be able to monitor speech behavior over a long time, the ability to detect stuttering events and modifications in speech could help PWSs and speech pathologists to track the level of fluency. Monitoring could create the ability to intervene early by detecting lapses in fluency. To the best of our knowledge, no public dataset is available that contains speech from people who underwent stuttering therapy that changed the style of speaking. This work introduces the Kassel State of Fluency (KSoF), a therapy-based dataset containing over 5500 clips of PWSs. The clips were labeled with six stuttering-related event types: blocks, prolongations, sound repetitions, word repetitions, interjections, and - specific to therapy - speech modifications. The audio was recorded during therapy sessions at the Institut der Kasseler Stottertherapie. The data will be made available for research purposes upon request.

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Cited by 1 Pith paper

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  1. Boli: A dataset for understanding stuttering experience and analyzing stuttered speech

    cs.HC 2025-01 conditional novelty 6.0 of 10

    A new open multilingual stuttered speech dataset for Indian languages, with read and spontaneous speech, word-level annotations, and experiential questionnaire data.

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