April 14, 2022 Dataset Restricted Access

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

DCAT Export

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        <foaf:name>Sebastian P. Bayerl</foaf:name>
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        <foaf:name>Alexander Wolff von Gudenberg</foaf:name>
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        <foaf:name>Florian Hönig</foaf:name>
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        <foaf:name>Elmar Nöth</foaf:name>
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    <dct:title>Kassel State of Fluency - Challenge</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2022</dct:issued>
    <dcat:keyword>stuttering</dcat:keyword>
    <dcat:keyword>pathological speech</dcat:keyword>
    <dcat:keyword>Paralinguistics</dcat:keyword>
    <dcat:keyword>ComParE challenge</dcat:keyword>
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        <foaf:name>Korbinian Riedhamer</foaf:name>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2022-04-14</dct:issued>
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    <dct:description>&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;</dct:description>
    <dct:description>{"references": ["Bj\u00f6rn 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.", "Sebastian P. Bayerl, Alexander Wolff von Gudenberg, Florian H\u00f6nig, Elmar N\u00f6th, Korbinian Riedhammer: \"KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering\", Proceedings LREC 2022, Marseille, France, 2022."]}</dct:description>
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