Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Weise, Tobias"'
Autor:
Weise, Tobias, Klumpp, Philipp, Demir, Kubilay Can, Pérez-Toro, Paula Andrea, Schuster, Maria, Noeth, Elmar, Heismann, Bjoern, Maier, Andreas, Yang, Seung Hee
This paper introduces a novel combination of two tasks, previously treated separately: acoustic-to-articulatory speech inversion (AAI) and phoneme-to-articulatory (PTA) motion estimation. We refer to this joint task as acoustic phoneme-to-articulator
Externí odkaz:
http://arxiv.org/abs/2407.03132
To develop intelligent speech assistants and integrate them seamlessly with intra-operative decision-support frameworks, accurate and efficient surgical phase recognition is a prerequisite. In this study, we propose a multimodal framework based on Ga
Externí odkaz:
http://arxiv.org/abs/2406.14576
Autor:
Arasteh, Soroosh Tayebi, Arias-Vergara, Tomas, Perez-Toro, Paula Andrea, Weise, Tobias, Packhaeuser, Kai, Schuster, Maria, Noeth, Elmar, Maier, Andreas, Yang, Seung Hee
Publikováno v:
Commun Med 4, (2024)
Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information. In response, speaker anonymization aims to conceal personally identifiable informatio
Externí odkaz:
http://arxiv.org/abs/2404.08064
Autor:
Utz, Jonas, Weise, Tobias, Schlereth, Maja, Wagner, Fabian, Thies, Mareike, Gu, Mingxuan, Uderhardt, Stefan, Breininger, Katharina
Annotating nuclei in microscopy images for the training of neural networks is a laborious task that requires expert knowledge and suffers from inter- and intra-rater variability, especially in fluorescence microscopy. Generative networks such as Cycl
Externí odkaz:
http://arxiv.org/abs/2308.01769
Autor:
Demir, Kubilay Can, Weise, Tobias, May, Matthias, Schmid, Axel, Maier, Andreas, Yang, Seung Hee
Surgical phase recognition is a challenging and necessary task for the development of context-aware intelligent systems that can support medical personnel for better patient care and effective operating room management. In this paper, we present a su
Externí odkaz:
http://arxiv.org/abs/2305.15993
Autor:
Demir, Kubilay Can, May, Matthias, Schmid, Axel, Uder, Michael, Breininger, Katharina, Weise, Tobias, Maier, Andreas, Yang, Seung Hee
This paper presents a new multimodal interventional radiology dataset, called PoCaP (Port Catheter Placement) Corpus. This corpus consists of speech and audio signals in German, X-ray images, and system commands collected from 31 PoCaP interventions
Externí odkaz:
http://arxiv.org/abs/2206.12320
Autor:
Arasteh, Soroosh Tayebi, Weise, Tobias, Schuster, Maria, Noeth, Elmar, Maier, Andreas, Yang, Seung Hee
Publikováno v:
Sci Rep 13, 20476 (2023)
Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutions, they come with inherent risks of potential unintended exposure of
Externí odkaz:
http://arxiv.org/abs/2204.06450
Autor:
Weise, Tobias, Klumpp, Philipp, Demir, Kubilay Can, Maier, Andreas, Noeth, Elmar, Heismann, Bjoern, Schuster, Maria, Yang, Seung Hee
Speech intelligibility assessment plays an important role in the therapy of patients suffering from pathological speech disorders. Automatic and objective measures are desirable to assist therapists in their traditionally subjective and labor-intensi
Externí odkaz:
http://arxiv.org/abs/2204.04016
Akademický článek
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Autor:
Tayebi Arasteh, Soroosh1,2,3 (AUTHOR) soroosh.arasteh@fau.de, Weise, Tobias1,2 (AUTHOR), Schuster, Maria4 (AUTHOR), Noeth, Elmar1 (AUTHOR), Maier, Andreas1 (AUTHOR), Yang, Seung Hee2 (AUTHOR)
Publikováno v:
Scientific Reports. 11/22/2023, Vol. 13 Issue 1, p1-14. 14p.
