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Kassel State of Fluency - Challenge

Sebastian P. Bayerl; Alexander Wolff von Gudenberg; Florian Hönig; Elmar Nöth; Korbinian Riedhamer

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  <dc:contributor>Korbinian Riedhamer</dc:contributor>
  <dc:creator>Sebastian P. Bayerl</dc:creator>
  <dc:creator>Alexander Wolff von Gudenberg</dc:creator>
  <dc:creator>Florian Hönig</dc:creator>
  <dc:creator>Elmar Nöth</dc:creator>
  <dc:creator>Korbinian Riedhamer</dc:creator>
  <dc:description>The stuttering Kassel State of Fluency corpus KSoF-C, provided is derived from
the Kassel State of Fluency (KSoF) corpus. The original corpus fea-
tures some 5500 typical and nontypical (stuttering) 3-sec segments
from 37 German speakers with an overall duration of 4,6 hours. The
segments contain speech of persons who stutter (PWO). The record-
ings from which the segments were extracted were recorded before,
during, and after PWOs underwent stuttering therapy.

KSOF-C only features the 4601 non-ambiguously labeled segments.
The task proposed in this challenge is the classification of speech
segments as one of the 8 classes - the seven stuttering-related classes
mentioned above and an eighth “garbage” class, denoting unintelligible segments, segments containing no speech, or segments that
are negatively affected by loud background noise. The dataset is split by speaker (train, 23 spk, devel, 6 spk, test, 8 spk)</dc:description>
  <dc:subject>pathological speech</dc:subject>
  <dc:subject>ComParE challenge</dc:subject>
  <dc:title>Kassel State of Fluency - Challenge</dc:title>
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