UPDATE: Zenodo migration postponed to Oct 13 from 06:00-08:00 UTC. Read the announcement.
There is a newer version of this record available.

Dataset Restricted Access

Kassel State of Fluency - Challenge

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


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.6460102", 
  "language": "deu", 
  "title": "Kassel State of Fluency - Challenge", 
  "issued": {
    "date-parts": [
      [
        2022, 
        4, 
        14
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Sebastian P. Bayerl"
    }, 
    {
      "family": "Alexander Wolff von Gudenberg"
    }, 
    {
      "family": "Florian H\u00f6nig"
    }, 
    {
      "family": "Elmar N\u00f6th"
    }, 
    {
      "family": "Korbinian Riedhamer"
    }
  ], 
  "version": "0.2", 
  "type": "dataset", 
  "id": "6460102"
}
456
42
views
downloads
All versions This version
Views 456434
Downloads 4241
Data volume 62.3 GB60.8 GB
Unique views 318309
Unique downloads 3938

Share

Cite as