most citedThe effect of speech pathology on automatic speaker verification -- a large-scale study

15 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN

Jonas Utz, Tobias Weise, Maja Schlereth +5

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, e…

cs.HC2023★ 1 cited

PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images

Kubilay Can Demir, Tobias Weise, Matthias May +3

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 a…

cs.SD2022★ 1 cited

PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant using Interventional Radiology Workflow Analysis

Kubilay Can Demir, Matthias May, Axel Schmid +5

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-…

cs.SD2022★ 15 cited

The effect of speech pathology on automatic speaker verification -- a large-scale study

Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster +3

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 solutio…

eess.AS2022★ 1 cited

Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment

Tobias Weise, Philipp Klumpp, Kubilay Can Demir +5

Speech intelligibility assessment plays an important role in the therapy of patients suffering from pathological speech disorders. Automatic and objective measures are desirable to…