Papers by Sebastian Bayerl
KSoF: The Kassel State of Fluency Dataset – A Therapy Centered Dataset of Stuttering (2022.lrec-1)
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| Challenge: | Stuttering is a complex speech disorder that negatively affects an individual’s ability to communicate effectively. |
| Approach: | They present a therapy-based dataset that tracks stuttering events and changes in speech over a long time and labeled them with six syllable-related event types: blocks, prolongations, sound repetitions, word repetitions and interjections. |
| Outcome: | The study introduces the Kassel State of Fluency (KSoF) dataset containing over 5500 clips of people who underwent stuttering therapy. |
Annotation of Valence Unfolding in Spoken Personal Narratives (2022.lrec-1)
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Aniruddha Tammewar, Franziska Braun, Gabriel Roccabruna, Sebastian Bayerl, Korbinian Riedhammer, Giuseppe Riccardi
| Challenge: | Personal Narrative (PN) is the recollection of individuals’ life experiences, events, and thoughts along with the associated emotions in the form of a story. |
| Approach: | They annotate a corpus of spoken personal narratives with the emotion valence using discrete values and use a 5-point bipolar scale to measure their agreement. |
| Outcome: | The annotators annotate a corpus of spoken personal narratives with the emotion valence using discrete values on a 5-point bipolar scale ranging from -2 to +2 (0 for neutral). |