April 14, 2022 Dataset Restricted Access

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

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  <identifier identifierType="DOI">10.5281/zenodo.6460102</identifier>
  <creators>
    <creator>
      <creatorName>Sebastian P. Bayerl</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3502-9511</nameIdentifier>
      <affiliation>Technische Hochschule Nürnberg</affiliation>
    </creator>
    <creator>
      <creatorName>Alexander Wolff von Gudenberg</creatorName>
      <affiliation>Kasseler Stottertherapie</affiliation>
    </creator>
    <creator>
      <creatorName>Florian Hönig</creatorName>
      <affiliation>Kasseler Stottertherapie</affiliation>
    </creator>
    <creator>
      <creatorName>Elmar Nöth</creatorName>
      <affiliation>Friedrich Alexander Universität Erlangen-Nürnberg</affiliation>
    </creator>
    <creator>
      <creatorName>Korbinian Riedhamer</creatorName>
      <affiliation>Technische Hochschule Nürnberg</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Kassel State of Fluency - Challenge</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>stuttering</subject>
    <subject>pathological speech</subject>
    <subject>Paralinguistics</subject>
    <subject>ComParE challenge</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Supervisor">
      <contributorName>Korbinian Riedhamer</contributorName>
      <affiliation>Technische Hochschule Nürnberg</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2022-04-14</date>
  </dates>
  <language>de</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/6460102</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.6460101</relatedIdentifier>
  </relatedIdentifiers>
  <version>0.2</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/restrictedAccess">Restricted Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&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;</description>
    <description descriptionType="Other">{"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."]}</description>
  </descriptions>
</resource>