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 Robust Classification of Parkinson’s Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions (2024) Lopez-Santander DA, David Rios-Urrego C, Bergler C, Nöth E, Orozco-Arroyave JR Conference contribution Automatic Classification of Parkinson’s Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels (2024) Gallo-Aristizábal JD, Escobar-Grisales D, Ríos-Urrego CD, Nöth E, Orozco-Arroyave JR Conference contribution LONGITUDINAL MODELING OF DEPRESSION SHIFTS USING SPEECH AND LANGUAGE (2024) Perez Toro PA, Dineley J, Kaczkowska A, Conde P, Zhang Y, Matcham F, Siddi S, et al. 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 ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation (2023) Hauer C, Nöth E, Barnhill A, Maier A, Guthunz J, Hofer H, Cheng RX, et al. Journal article The effect of speech pathology on automatic speaker verification: a large-scale study (2023) Tayebi Arasteh S, Weise T, Schuster M, Nöth E, Maier A, Yang SH Journal article, Original article