Prof. Dr.-Ing. Elmar Nöth

Professur für Informatik (Mustererkennung) Technische Fakultät

Same Semantics of the Signal - What Do We Cluster with what Representation (2025) Barnhill A, Traub O, Nöth E, Maier A, Bergler C Conference contribution, Original article Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech (2024) Tayebi Arasteh S, Arias-Vergara T, Perez Toro PA, Weise T, Packhäuser K, Schuster M, Nöth E, et al. Journal article Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data (2024) Barnhill A, Towers JR, Nöth E, Maier A, Bergler C Conference contribution, Original article ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement (2024) Barnhill A, Nöth E, Maier A, Bergler C Conference contribution, Original article Large Language Models for Dysfluency Detection in Stuttered Speech (2024) Wagner D, Bayerl SP, Baumann I, Riedhammer K, Nöth E, Bocklet T Conference contribution It's Time to Take Action: Acoustic Modeling of Motor Verbs to Detect Parkinson's Disease (2024) Escobar-Grisales D, Ríos-Urrego CD, Baumann I, Riedhammer K, Nöth E, Bocklet T, Garcia AM, Orozco-Arroyave JR Conference contribution Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge (2024) Perez Toro PA, Arias Vergara T, Klumpp P, Weise T, Schuster M, Nöth E, Orozco Arroyave JR, Maier A Conference contribution Speaker-and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech (2024) Weise T, Klumpp P, Demir K, Perez Toro PA, Schuster M, Nöth E, Heismann B, et al. Conference contribution Towards Self-Attention Understanding for Automatic Articulatory Processes Analysis in Cleft Lip and Palate Speech (2024) Baumann I, Wagner D, Schuster M, Riedhammer K, Nöth E, Bocklet T Conference contribution Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data (2024) Arias Vergara T, Perez Toro PA, Liu X, Xing F, Stone M, Zhuo J, Prince JL, et al. Conference contribution