| Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 SP Bayerl, D Wagner, E Nöth, K Riedhammer Interspeech, 2868-2872, 2022 | 61 | 2022 |
| Offline model guard: Secure and private ML on mobile devices SP Bayerl, T Frassetto, P Jauernig, K Riedhammer, AR Sadeghi, ... 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 460-465, 2020 | 61 | 2020 |
| Apkinson: the Smartphone Application for Telemonitoring Parkinson’s Patients Through speech, Gait and Hands Movement JR Orozco-Arroyave, JC Vásquez-Correa, P Klumpp, PA Pérez-Toro, ... Neurodegenerative Disease Management 10 (3), 137-157, 2020 | 52 | 2020 |
| KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering SP Bayerl, AW von Gudenberg, F Hönig, E Nöth, K Riedhammer LREC, 1780–1787, 2022 | 46 | 2022 |
| Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge PA Pérez-Toro, SP Bayerl, T Arias-Vergara, JC Vásquez-Correa, ... Proc. Interspeech 2021, 3785-3789, 2021 | 42 | 2021 |
| The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes B Schuller, A Batliner, S Amiriparian, C Bergler, M Gerczuk, N Holz, ... Proceedings of the 30th ACM International Conference on Multimedia, 7120-7124, 2022 | 40 | 2022 |
| The Influence of Dataset Partitioning on Dysfluency Detection Systems SP Bayerl, D Wagner, E Nöth, T Bocklet, K Riedhammer International Conference on Text, Speech, and Dialogue, 423 - 436, 2022 | 30 | 2022 |
| Towards automated assessment of stuttering and stuttering therapy SP Bayerl, F Hönig, J Reister, K Riedhammer International Conference on Text, Speech, and Dialogue, 386-396, 2020 | 27 | 2020 |
| Classification of stuttering–The ComParE challenge and beyond SP Bayerl, M Gerczuk, A Batliner, C Bergler, S Amiriparian, B Schuller, ... Computer Speech & Language 81, 101519, 2023 | 18 | 2023 |
| A Stutter Seldom Comes Alone--Cross-Corpus Stuttering Detection as a Multi-label Problem SP Bayerl, D Wagner, I Baumann, F Hönig, T Bocklet, E Nöth, ... arXiv preprint arXiv:2305.19255, 2023 | 18* | 2023 |
| Detecting vocal fatigue with neural embeddings SP Bayerl, D Wagner, I Baumann, T Bocklet, K Riedhammer Journal of Voice, 2023 | 18 | 2023 |
| Timage–a robust time series classification pipeline M Wenninger, SP Bayerl, J Schmidt, K Riedhammer Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019 | 15 | 2019 |
| Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data? D Wagner, I Baumann, F Braun, SP Bayerl, E Nöth, K Riedhammer, ... arXiv preprint arXiv:2210.15336, 2022 | 13 | 2022 |
| Offline model guard: Secure and private ml on mobile devices. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) SP Bayerl, T Frassetto, P Jauernig, K Riedhammer, AR Sadeghi, ... IEEE, 2020 | 12 | 2020 |
| Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments Using Acoustic Features F Braun, A Erzigkeit, H Lehfeld, T Hillemacher, K Riedhammer, SP Bayerl International Conference on Text, Speech, and Dialogue, 437-448, 2022 | 11 | 2022 |
| Recurrence plot spacial pyramid pooling network for appliance identification in non-intrusive load monitoring M Wenninger, SP Bayerl, A Maier, J Schmidt 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 11 | 2021 |
| Transferring quantified emotion knowledge for the detection of depression in Alzheimer’s disease using forestnets PA Pérez-Toro, D Rodríguez-Salas, T Arias-Vergara, SP Bayerl, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| Nonwords Pronunciation Classification in Language Development Tests for Preschool Children I Baumann, D Wagner, S Bayerl, T Bocklet Interspeech, 3643-3647, 2022 | 9 | 2022 |
| The phonetic footprint of covid-19? P Klumpp, T Bocklet, T Arias-Vergara, JC Vásquez-Correa, ... Interspeech, 441-445, 2021 | 9 | 2021 |
| Classifying Dementia in the Presence of Depression: A Cross-Corpus Study F Braun, SP Bayerl, PA Pérez-Toro, F Hönig, H Lehfeld, T Hillemacher, ... arXiv preprint arXiv:2308.08306, 2023 | 8 | 2023 |
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