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eess.AS2022★ 2 cited
Dysfluencies Seldom Come Alone -- Detection as a Multi-Label Problem
Sebastian P. Bayerl, Dominik Wagner, Florian Hönig +3
Specially adapted speech recognition models are necessary to handle stuttered speech. For these to be used in a targeted manner, stuttered speech must be reliably detected. Recent…
eess.AS2022
KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stuttering
Sebastian P. Bayerl, Alexander Wolff von Gudenberg, Florian Hönig +2
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 co…