Sebastian P. Bayerl
Sebastian P. Bayerl
Technische Hochschule Nürnberg Georg Simon Ohm
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Cited by
Cited by
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
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
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
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
Timage–a robust time series classification pipeline
M Wenninger, SP Bayerl, J Schmidt, K Riedhammer
International Conference on Artificial Neural Networks, 450-461, 2019
KSoF: The Kassel State of Fluency Dataset--A Therapy Centered Dataset of Stuttering
SP Bayerl, AW von Gudenberg, F Hönig, E Nöth, K Riedhammer
arXiv preprint arXiv:2203.05383, 2022
Privacy-preserving speech processing via STPC and TEEs
SP Bayerl, F Brasser, C Busch, T Frassetto, P Jauernig, J Kolberg, ...
PPML, 2019
The Phonetic Footprint of Covid-19?
P Klumpp, T Bocklet, T Arias-Vergara, JC Vásquez-Correa, ...
Interspeech, 441-445, 2021
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.
JC Vásquez-Correa, T Arias-Vergara, P Klumpp, M Strauss, A Küderle, ...
INTERSPEECH, 964-965, 2019
A comparison of hybrid and end-to-end models for syllable recognition
SP Bayerl, K Riedhammer
International Conference on Text, Speech, and Dialogue, 352-360, 2019
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0
SP Bayerl, D Wagner, E Nöth, K Riedhammer
arXiv preprint arXiv:2204.03417, 2022
Detecting emotion carriers by combining acoustic and lexical representations
SP Bayerl, A Tammewar, K Riedhammer, G Riccardi
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 31-38, 2021
What can Speech and Language Tell us About the Working Alliance in Psychotherapy
SP Bayerl, G Roccabruna, SA Chowdhury, T Ciulli, M Danieli, ...
arXiv preprint arXiv:2206.08835, 2022
Nonwords Pronunciation Classification in Language Development Tests for Preschool Children
I Baumann, D Wagner, S Bayerl, T Bocklet
arXiv preprint arXiv:2206.08058, 2022
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
arXiv preprint arXiv:2206.05018, 2022
The Influence of Dataset Partitioning on Dysfluency Detection Systems
SP Bayerl, D Wagner, E Nöth, T Bocklet, K Riedhammer
arXiv preprint arXiv:2206.03400, 2022
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes
BW Schuller, A Batliner, S Amiriparian, C Bergler, M Gerczuk, N Holz, ...
arXiv preprint arXiv:2205.06799, 2022
Detecting Vocal Fatigue with Neural Embeddings
SP Bayerl, D Wagner, I Baumann, K Riedhammer, T Bocklet
arXiv preprint arXiv:2204.03428, 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
STAN: A stuttering therapy analysis helper
SP Bayerl, M Wenninger, J Schmidt, AW von Gudenberg, K Riedhammer
arXiv preprint arXiv:2106.09545, 2021
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