Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Braun, Franziska"'
Autor:
Braun, Franziska, Bayerl, Sebastian P., Hönig, Florian, Lehfeld, Hartmut, Hillemacher, Thomas, Bocklet, Tobias, Riedhammer, Korbinian
Speech pauses, alongside content and structure, offer a valuable and non-invasive biomarker for detecting dementia. This work investigates the use of pause-enriched transcripts in transformer-based language models to differentiate the cognitive state
Externí odkaz:
http://arxiv.org/abs/2408.15188
Autor:
Agchar, Ismael, Baumann, Ilja, Braun, Franziska, Perez-Toro, Paula Andrea, Riedhammer, Korbinian, Trump, Sebastian, Ullrich, Martin
In recent years, machine learning, and in particular generative adversarial neural networks (GANs) and attention-based neural networks (transformers), have been successfully used to compose and generate music, both melodies and polyphonic pieces. Cur
Externí odkaz:
http://arxiv.org/abs/2402.15294
Autor:
Braun, Franziska, Bayerl, Sebastian P., Pérez-Toro, Paula A., Hönig, Florian, Lehfeld, Hartmut, Hillemacher, Thomas, Nöth, Elmar, Bocklet, Tobias, Riedhammer, Korbinian
Automated dementia screening enables early detection and intervention, reducing costs to healthcare systems and increasing quality of life for those affected. Depression has shared symptoms with dementia, adding complexity to diagnoses. The research
Externí odkaz:
http://arxiv.org/abs/2308.08306
Autor:
Braun, Franziska, Wagner, Michael Florian Peter, Toimil-Molares, Maria Eugenia, von Klitzing, Regine
The motion of partly gold (Au)-coated Janus particles under laser irradiation is caused by self-thermophoresis. Despite numerous studies addressing this topic, the impact of the preparation method and the degree of coverage of the particle with Au on
Externí odkaz:
http://arxiv.org/abs/2306.08333
Autor:
Baumann, Ilja, Wagner, Dominik, Braun, Franziska, Bayerl, Sebastian P., Nöth, Elmar, Riedhammer, Korbinian, Bocklet, Tobias
Recent findings show that pre-trained wav2vec 2.0 models are reliable feature extractors for various speaker characteristics classification tasks. We show that latent representations extracted at different layers of a pre-trained wav2vec 2.0 system c
Externí odkaz:
http://arxiv.org/abs/2210.15941
Autor:
Wagner, Dominik, Baumann, Ilja, Braun, Franziska, Bayerl, Sebastian P., Nöth, Elmar, Riedhammer, Korbinian, Bocklet, Tobias
The detection of pathologies from speech features is usually defined as a binary classification task with one class representing a specific pathology and the other class representing healthy speech. In this work, we train neural networks, large margi
Externí odkaz:
http://arxiv.org/abs/2210.15336
Autor:
Braun, Franziska, Förstel, Markus, Oppermann, Bastian, Erzigkeit, Andreas, Hillemacher, Thomas, Lehfeld, Hartmut, Riedhammer, Korbinian
For dementia screening and monitoring, standardized tests play a key role in clinical routine since they aim at minimizing subjectivity by measuring performance on a variety of cognitive tasks. In this paper, we report on a study that consists of a s
Externí odkaz:
http://arxiv.org/abs/2206.06208
Autor:
Braun, Franziska, Erzigkeit, Andreas, Lehfeld, Hartmut, Hillemacher, Thomas, Riedhammer, Korbinian, Bayerl, Sebastian P.
Standardized tests play a crucial role in the detection of cognitive impairment. Previous work demonstrated that automatic detection of cognitive impairment is possible using audio data from a standardized picture description task. The presented stud
Externí odkaz:
http://arxiv.org/abs/2206.05018
Autor:
Decker, Josua A., Huber, Adrian, Senel, Fevzi, Risch, Franka, Bette, Stefanie, Braun, Franziska, Becker, Judith, Popp, Daniel, Haerting, Mark, Jehs, Bertram, Rippel, Katharina, Wollny, Claudia, Scheurig-Muenkler, Christian, Kroencke, Thomas J., Schwarz, Florian
Publikováno v:
In European Journal of Radiology September 2023 166
Autor:
Popp, Daniel, Sinzinger, Andrea X., Decker, Josua A., Braun, Franziska, Bette, Stefanie, Risch, Franka, Haerting, Mark, Garthe, Tarik, Scheurig-Münkler, Christian, Kröncke, Thomas J., Schwarz, Florian
Publikováno v:
In European Journal of Radiology June 2023