April 14, 2022 Dataset Restricted Access

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

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    "doi": "10.5281/zenodo.6460102", 
    "description": "<p>The stuttering Kassel State of Fluency corpus KSoF-C, provided is derived from<br>\nthe Kassel State of Fluency (KSoF) corpus. The original corpus fea-<br>\ntures some 5500 typical and nontypical (stuttering) 3-sec segments<br>\nfrom 37 German speakers with an overall duration of 4,6 hours. The<br>\nsegments contain speech of persons who stutter (PWO). The record-<br>\nings from which the segments were extracted were recorded before,<br>\nduring, and after PWOs underwent stuttering therapy.</p>\n\n<p>KSOF-C only features the 4601 non-ambiguously labeled segments.<br>\nThe task proposed in this challenge is the classification of speech<br>\nsegments as one of the 8 classes - the seven stuttering-related classes<br>\nmentioned above and an eighth &ldquo;garbage&rdquo; class, denoting unintelligible segments, segments containing no speech, or segments that<br>\nare negatively affected by loud background noise. The dataset is split by speaker (train, 23 spk, devel, 6 spk, test, 8 spk)</p>", 
    "contributors": [
      {
        "affiliation": "Technische Hochschule N\u00fcrnberg", 
        "type": "Supervisor", 
        "name": "Korbinian Riedhamer"
      }
    ], 
    "title": "Kassel State of Fluency - Challenge", 
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    "language": "deu", 
    "access_conditions": "<p>Please sign the EULA for the KSF-C dataset first&nbsp;and register your team for the<strong> ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE)</strong> challenge.</p>\n\n<p>The EULA for the KSF-C dataset can be obtained from sebastian.bayerl@th-nuernberg.de.&nbsp;</p>\n\n<p>Access will be granted upon receiving the signed EULA.</p>\n\n<p>http://www.compare.openaudio.eu/2022-2/<br>\n&nbsp;</p>", 
    "version": "0.2", 
    "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, & 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."
    ], 
    "keywords": [
      "stuttering", 
      "pathological speech", 
      "Paralinguistics", 
      "ComParE challenge"
    ], 
    "publication_date": "2022-04-14", 
    "creators": [
      {
        "orcid": "0000-0002-3502-9511", 
        "affiliation": "Technische Hochschule N\u00fcrnberg", 
        "name": "Sebastian P. Bayerl"
      }, 
      {
        "affiliation": "Kasseler Stottertherapie", 
        "name": "Alexander Wolff von Gudenberg"
      }, 
      {
        "affiliation": "Kasseler Stottertherapie", 
        "name": "Florian H\u00f6nig"
      }, 
      {
        "affiliation": "Friedrich Alexander Universit\u00e4t Erlangen-N\u00fcrnberg", 
        "name": "Elmar N\u00f6th"
      }, 
      {
        "affiliation": "Technische Hochschule N\u00fcrnberg", 
        "name": "Korbinian Riedhamer"
      }
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