KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stuttering
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Abstract (arXiv)
Stuttering is a complex speech disorder that negatively affects an individual's ability to communicate effectively. Persons who stutter (PWS) often suffer considerably under the condition and seek help through therapy. Fluency shaping is a therapy approach where PWSs learn to modify their speech to help them to overcome their stutter. Mastering such speech techniques takes time and practice, even after therapy. Shortly after therapy, success is evaluated highly, but relapse rates are high. To be able to monitor speech behavior over a long time, the ability to detect stuttering events and modifications in speech could help PWSs and speech pathologists to track the level of fluency. Monitoring could create the ability to intervene early by detecting lapses in fluency. To the best of our knowledge, no public dataset is available that contains speech from people who underwent stuttering therapy that changed the style of speaking. This work introduces the Kassel State of Fluency (KSoF), a therapy-based dataset containing over 5500 clips of PWSs. The clips were labeled with six stuttering-related event types: blocks, prolongations, sound repetitions, word repetitions, interjections, and - specific to therapy - speech modifications. The audio was recorded during therapy sessions at the Institut der Kasseler Stottertherapie. The data will be made available for research purposes upon request.
Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 9 of its 30 references that are in the map. First posted on arXiv 10 Mar 2022.
Builds on
9 of 30 references.
References · 9
- 2017Attention Is All You Needcited by 60,361
- 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
- 2021Emotion Recognition from Speech Using Wav2vec 2.0 Embeddingscited by 162
- 2021Unsupervised Speech Recognitioncited by 148
- 2021SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stuttercited by 52
- 2021The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primatescited by 32
- 2019Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memorycited by 27
- 2020Towards Automated Assessment of Stuttering and Stuttering Therapycited by 6
- 2020Identification of primary and collateral tracks in stuttered speechcited by 4
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Citing papers per year: 2022: 4; 2023: 2; 2024: 5; 2025: 5; 2026: 5.
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- 2022Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0cited by 27
- 2022The Influence of Dataset Partitioning on Dysfluency Detection Systemscited by 9
- 2023A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problemcited by 9
- 2024Large Language Models for Dysfluency Detection in Stuttered Speechcited by 8
- 2023Whisper in Focus: Enhancing Stuttered Speech Classification with Encoder Layer Optimizationcited by 5
- 2024AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detectioncited by 5
- 2022The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoescited by 4
- 2024Self-supervised Speech Models for Word-Level Stuttered Speech Detectioncited by 4
- 2025Boli: A dataset for understanding stuttering experience and analyzing stuttered speechcited by 3
- 2025Clinical Annotations for Automatic Stuttering Severity Assessmentcited by 3
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbiancited by 1
- 2026Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliamentscited by 1
9 more
- 2022Detecting Vocal Fatigue with Neural Embeddingscited by 0
- 2024A Comprehensive Rubric for Annotating Pathological Speechcited by 0
- 2024Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessmentcited by 0
- 2025On the Difficulty of Token-Level Modeling of Dysfluency and Fluency Shaping Artifactscited by 0
- 2025StutterFuse: Mitigating Modality Collapse in Stuttering Detection with Jaccard-Weighted Metric Learning and Gated Fusioncited by 0
- 2026Multilingual Stutter Event Detection for English, German, and Mandarin Speechcited by 0
- 2026Aligning Stuttered-Speech Research with End-User Needs: Scoping Review, Survey, and Guidelinescited by 0
- 2026Cripping AI: Reimagining AI Through Lived Disability Experiencescited by 0
- 2026SpeechDx: A Multi-Task Benchmark for Clinical Speech AIcited by 0
- 2026Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments7 Jul 2026
- 2026SpeechDx: A Multi-Task Benchmark for Clinical Speech AI15 Jun 2026
- 2026Cripping AI: Reimagining AI Through Lived Disability Experiences3 May 2026
- 2026Aligning Stuttered-Speech Research with End-User Needs: Scoping Review, Survey, and Guidelines22 Apr 2026
- 2026Multilingual Stutter Event Detection for English, German, and Mandarin Speech27 Mar 2026
- 2025StutterFuse: Mitigating Modality Collapse in Stuttering Detection with Jaccard-Weighted Metric Learning and Gated Fusion15 Dec 2025
- 2025On the Difficulty of Token-Level Modeling of Dysfluency and Fluency Shaping Artifacts18 Nov 2025
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian3 Nov 2025
- 2025Clinical Annotations for Automatic Stuttering Severity Assessment31 May 2025
- 2025Boli: A dataset for understanding stuttering experience and analyzing stuttered speech27 Jan 2025
- 2024Self-supervised Speech Models for Word-Level Stuttered Speech Detection16 Sep 2024
- 2024Large Language Models for Dysfluency Detection in Stuttered Speech16 Jun 2024
9 more
- 2024AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection11 Jun 2024
- 2024Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment9 Jun 2024
- 2024A Comprehensive Rubric for Annotating Pathological Speech29 Apr 2024
- 2023Whisper in Focus: Enhancing Stuttered Speech Classification with Encoder Layer Optimization9 Nov 2023
- 2023A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem30 May 2023
- 2022The Influence of Dataset Partitioning on Dysfluency Detection Systems7 Jun 2022
- 2022The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes13 May 2022
- 2022Detecting Vocal Fatigue with Neural Embeddings7 Apr 2022
- 2022Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.07 Apr 2022
- 2022Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0cited by 27
- 2022The Influence of Dataset Partitioning on Dysfluency Detection Systemscited by 9
- 2023A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problemcited by 9
- 2024Large Language Models for Dysfluency Detection in Stuttered Speechcited by 8
- 2023Whisper in Focus: Enhancing Stuttered Speech Classification with Encoder Layer Optimizationcited by 5
- 2024AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detectioncited by 5
- 2022The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoescited by 4
- 2024Self-supervised Speech Models for Word-Level Stuttered Speech Detectioncited by 4
- 2025Boli: A dataset for understanding stuttering experience and analyzing stuttered speechcited by 3
- 2025Clinical Annotations for Automatic Stuttering Severity Assessmentcited by 3
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbiancited by 1
- 2026Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliamentscited by 1
12 most cited of 20 All 20 (JSON)
- 2026Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments7 Jul 2026
- 2026SpeechDx: A Multi-Task Benchmark for Clinical Speech AI15 Jun 2026
- 2026Cripping AI: Reimagining AI Through Lived Disability Experiences3 May 2026
- 2026Aligning Stuttered-Speech Research with End-User Needs: Scoping Review, Survey, and Guidelines22 Apr 2026
- 2026Multilingual Stutter Event Detection for English, German, and Mandarin Speech27 Mar 2026
- 2025On the Difficulty of Token-Level Modeling of Dysfluency and Fluency Shaping Artifacts18 Nov 2025
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian3 Nov 2025
- 2025Clinical Annotations for Automatic Stuttering Severity Assessment31 May 2025
- 2025Boli: A dataset for understanding stuttering experience and analyzing stuttered speech27 Jan 2025
- 2024Self-supervised Speech Models for Word-Level Stuttered Speech Detection16 Sep 2024
- 2024Large Language Models for Dysfluency Detection in Stuttered Speech16 Jun 2024
- 2024AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection11 Jun 2024
12 newest of 20 All 20 (JSON)