10.5281/zenodo.6460102
https://zenodo.org/records/6460102
oai:zenodo.org:6460102
Sebastian P. Bayerl
Sebastian P. Bayerl
0000-0002-3502-9511
Technische Hochschule Nürnberg
Alexander Wolff von Gudenberg
Alexander Wolff von Gudenberg
Kasseler Stottertherapie
Florian Hönig
Florian Hönig
Kasseler Stottertherapie
Elmar Nöth
Elmar Nöth
Friedrich Alexander Universität Erlangen-Nürnberg
Korbinian Riedhamer
Korbinian Riedhamer
Technische Hochschule Nürnberg
Kassel State of Fluency - Challenge
Zenodo
2022
stuttering
pathological speech
Paralinguistics
ComParE challenge
Korbinian Riedhamer
Korbinian Riedhamer
Technische Hochschule Nürnberg
2022-04-14
deu
10.5281/zenodo.6460101
0.2
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)