Prof. Dr.-Ing. Elmar Nöth

Professur für Informatik (Mustererkennung) Technische Fakultät

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 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 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 Impact of Including Pathological Speech in Pre-training on Pathology Detection (2023) Weise T, Maier A, Demir K, Perez Toro PA, Arias Vergara T, Heismann B, Nöth E, et al. Conference contribution Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages (2023) Tayebi Arasteh S, Rios-Urrego CD, Nöth E, Maier A, Yang SH, Rusz J, Orozco-Arroyave JR Conference contribution, Conference Contribution