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Bayerl, Sebastian P..
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1

Machine Learning for Stuttering Detection and Classificatio..:

Bayerl, Sebastian P.. , 2024
Link: https://nbn-resolving.or..
 
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2

Speaker Adaptation for End-to-End Speech Recognition System..:

, In: 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU),
Wagner, Dominik ; Baumann, Ilja ; Bayerl, Sebastian P... - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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3

Classification of stuttering – The ComParE challenge and be..:

Bayerl, Sebastian P. ; Gerczuk, Maurice ; Batliner, Anton...
Computer Speech & Language.  81 (2023)  - p. 101519 , 2023
Link: https://doi.org/10.1016/..
 
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4

Generative Models for Improved Naturalness, Intelligibility..:

, In: 2022 IEEE Spoken Language Technology Workshop (SLT),
Wagner, Dominik ; Bayerl, Sebastian P. ; Maruri, Hector A. Cordourier. - p. 943-948 , 2023
Link: https://doi.org/10.1109/..
 
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5

Detecting Vocal Fatigue with Neural Embeddings:

Bayerl, Sebastian P. ; Wagner, Dominik ; Baumann, Ilja..
Journal of Voice.  , 2023
Link: https://doi.org/10.1016/..
 
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6

Going Beyond the Cookie Theft Picture Test: Detecting Cogni..:

, In: Text, Speech, and Dialogue; Lecture Notes in Computer Science,
Braun, Franziska ; Erzigkeit, Andreas ; Lehfeld, Hartmut... - p. 437-448 , 2022
Link: https://doi.org/10.1007/..
 
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7

The Influence of Dataset Partitioning on Dysfluency Detecti..:

, In: Text, Speech, and Dialogue; Lecture Notes in Computer Science,
Bayerl, Sebastian P. ; Wagner, Dominik ; Nöth, Elmar.. - p. 423-436 , 2022
Link: https://doi.org/10.1007/..
 
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8

Offline Model Guard: Secure and Private ML on Mobile Device:

, In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE),
Bayerl, Sebastian P. ; Frassetto, Tommaso ; Jauernig, Patrick... - p. 460-465 , 2020
Link: https://doi.org/10.23919..
 
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9

Offline Model Guard : secure and private ML on mobile de..:

, In: Proceedings of the 23rd Conference on Design, Automation and Test in Europe,
Bayerl, Sebastian P. ; Frassetto, Tommaso ; Jauernig, Patrick... - p. 460-465 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

Towards Automated Assessment of Stuttering and Stuttering T..:

, In: Text, Speech, and Dialogue; Lecture Notes in Computer Science,
Bayerl, Sebastian P. ; Hönig, Florian ; Reister, Joëlle. - p. 386-396 , 2020
Link: https://doi.org/10.1007/..
 
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11

A Comparison of Hybrid and End-to-End Models for Syllable R..:

, In: Text, Speech, and Dialogue; Lecture Notes in Computer Science,
Bayerl, Sebastian P. ; Riedhammer, Korbinian - p. 352-360 , 2019
Link: https://doi.org/10.1007/..
 
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12

Timage – A Robust Time Series Classification Pipeline:

, In: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series; Lecture Notes in Computer Science,
Wenninger, Marc ; Bayerl, Sebastian P. ; Schmidt, Jochen. - p. 450-461 , 2019
Link: https://doi.org/10.1007/..
 
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13

A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Det..:

Bayerl, Sebastian P ; Wagner, Dominik ; Baumann, Ilja...
http://arxiv.org/abs/2305.19255.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Classifying Dementia in the Presence of Depression: A Cross..:

Braun, Franziska ; Bayerl, Sebastian P ; Pérez-Toro, Paula A...
http://arxiv.org/abs/2308.08306.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

Dysfluencies Seldom Come Alone -- Detection as a Multi-Labe..:

Bayerl, Sebastian P ; Wagner, Dominik ; Hönig, Florian...
http://arxiv.org/abs/2210.15982.  , 2022
Link: http://arxiv.org/abs/221..
 
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