Classification of Stuttering – The ComParE challenge and beyond

  • The ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE) featured a sub-challenge on the classification of stuttering in order to bring attention to this important topic and engage a wider research community. Stuttering is a complex speech disorder characterized by blocks, prolongations of sounds and syllables, and repetitions of sounds and words. Accurately classifying the symptoms of stuttering has implications for the development of self-help tools and specialized automatic speech recognition systems (ASR) that can handle atypical speech patterns. This paper provides a review of the challenge contributions and improves upon them with new state-of-the-art classification results for the KSF-C dataset, and explores cross-language training to demonstrate the potential of datasets in multiple languages. To facilitate further research and reproducibility, the full KSF-C dataset, including test-set labels, is also released.

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Author:Sebastian P. BayerlORCiD, Maurice Gerczuk, Anton Batliner, Christian Bergler, Shahin Amiriparian, Björn Schuller, Elmar Nöth, Korbinian Riedhammer
DOI:https://doi.org/10.1016/j.csl.2023.101519
Parent Title (English):Computer Speech & Language
Document Type:Article
Language:English
Date of first Publication:2023/04/21
Reviewed:Begutachtet/Reviewed
Release Date:2024/07/03
Tag:Dysfluency Stuttering ComParE challenge Paralinguistics Pathological speech
Volume:81
Article Number:101519
Pagenumber:20
institutes:Fakultät Informatik
Licence (German):Keine Lizenz - Deutsches Urheberrecht gilt
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