Prof. Dr.-Ing. Elmar Nöth

Professur für Informatik (Mustererkennung) Technische Fakultät

Wav2vec behind the Scenes: How end2end Models learn Phonetics (2022) tom Dieck T, Perez Toro PA, Arias Vergara T, Nöth E, Klumpp P Conference contribution CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss (2022) Schäfer P, Perez Toro PA, Klumpp P, Orozco Arroyave JR, Nöth E, Maier A, Abad A, et al. Conference contribution Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings (2022) Perez Toro PA, Klumpp P, Hernandez A, Arias Vergara T, Lillo P, Slachevsky A, García AM, et al. Conference contribution Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 (2022) Bayerl SP, Wagner D, Nöth E, Riedhammer K Conference contribution Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment (2022) Weise T, Maier A, Nöth E, Heismann B, Schuster M, Yang SH Conference contribution, Conference Contribution End-to-End Parkinson’s Disease Detection Using a Deep Convolutional Recurrent Network (2022) Rios-Urrego CD, Moreno-Acevedo SA, Nöth E, Orozco Arroyave JR Conference contribution 50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders (2022) Pérez-Toro PA, Klumpp P, Vasquez-Correa JC, Schuster M, Nöth E, Orozco-Arroyave JR, Arias Vergara T Conference contribution The Influence of Dataset Partitioning on Dysfluency Detection Systems (2022) Bayerl SP, Wagner D, Nöth E, Bocklet T, Riedhammer K Conference contribution FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales (2021) Bergler C, Gebhard A, Towers JR, Butyrev L, Sutton GJ, Shaw TJH, Maier A, Nöth E Journal article Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach (2021) Garcia AM, Arias-Vergara T, C. Vasquez-Correa J, Nöth E, Schuster M, Welch AE, Bocanegra Y, et al. Journal article