April 14, 2022 Dataset Restricted Access

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

MARC21 XML Export

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    <subfield code="a">10.5281/zenodo.6460101</subfield>
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  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;The stuttering Kassel State of Fluency corpus KSoF-C, provided is derived from&lt;br&gt;
the Kassel State of Fluency (KSoF) corpus. The original corpus fea-&lt;br&gt;
tures some 5500 typical and nontypical (stuttering) 3-sec segments&lt;br&gt;
from 37 German speakers with an overall duration of 4,6 hours. The&lt;br&gt;
segments contain speech of persons who stutter (PWO). The record-&lt;br&gt;
ings from which the segments were extracted were recorded before,&lt;br&gt;
during, and after PWOs underwent stuttering therapy.&lt;/p&gt;

&lt;p&gt;KSOF-C only features the 4601 non-ambiguously labeled segments.&lt;br&gt;
The task proposed in this challenge is the classification of speech&lt;br&gt;
segments as one of the 8 classes - the seven stuttering-related classes&lt;br&gt;
mentioned above and an eighth &amp;ldquo;garbage&amp;rdquo; class, denoting unintelligible segments, segments containing no speech, or segments that&lt;br&gt;
are negatively affected by loud background noise. The dataset is split by speaker (train, 23 spk, devel, 6 spk, test, 8 spk)&lt;/p&gt;</subfield>
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    <subfield code="u">Kasseler Stottertherapie</subfield>
    <subfield code="a">Alexander Wolff von Gudenberg</subfield>
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    <subfield code="u">Kasseler Stottertherapie</subfield>
    <subfield code="a">Florian Hönig</subfield>
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    <subfield code="u">Friedrich Alexander Universität Erlangen-Nürnberg</subfield>
    <subfield code="a">Elmar Nöth</subfield>
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    <subfield code="u">Technische Hochschule Nürnberg</subfield>
    <subfield code="a">Korbinian Riedhamer</subfield>
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    <subfield code="u">Technische Hochschule Nürnberg</subfield>
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    <subfield code="a">Korbinian Riedhamer</subfield>
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    <subfield code="x">Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastian Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Stephen Roberts: "The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, &amp; Mosquitos", Proceedings ACM Multimedia 2022, ACM, Lisbon, Portugal, 2022.</subfield>
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    <subfield code="x">Sebastian P. Bayerl, Alexander Wolff von Gudenberg, Florian Hönig, Elmar Nöth, Korbinian Riedhammer: "KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering", Proceedings LREC 2022, Marseille, France, 2022.</subfield>
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