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The stuttering Kassel State of Fluency corpus KSoF-C, provided is derived from
\nthe Kassel State of Fluency (KSoF) corpus. The original corpus fea-
\ntures some 5500 typical and nontypical (stuttering) 3-sec segments
\nfrom 37 German speakers with an overall duration of 4,6 hours. The
\nsegments contain speech of persons who stutter (PWO). The record-
\nings from which the segments were extracted were recorded before,
\nduring, and after PWOs underwent stuttering therapy.
KSOF-C only features the 4601 non-ambiguously labeled segments.
\nThe task proposed in this challenge is the classification of speech
\nsegments as one of the 8 classes - the seven stuttering-related classes
\nmentioned above and an eighth “garbage” class, denoting unintelligible segments, segments containing no speech, or segments that
\nare negatively affected by loud background noise. The dataset is split by speaker (train, 23 spk, devel, 6 spk, test, 8 spk)
Please sign the EULA for the KSF-C dataset first and register your team for the ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE) challenge.
\n\nThe EULA for the KSF-C dataset can be obtained from sebastian.bayerl@th-nuernberg.de.
\n\nAccess will be granted upon receiving the signed EULA.
\n\nhttp://www.compare.openaudio.eu/2022-2/
\n