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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)
How to get the data: be a non-profit/ academic researcher fill out the EULA send the signed EULA back to us The signed EULA must be sent to us before we can give you acces to the data. Please follow the instructions described on the KSoF website for this. You can find the EULA here under License or on the website.
pathological speech, ComParE challenge, stuttering, Paralinguistics
pathological speech, ComParE challenge, stuttering, Paralinguistics
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popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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