Professur für Informatik (Mustererkennung)

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 Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy (2024) Husvogt L, Yaghy A, Camacho A, Lam K, Schottenhamml J, Ploner S, Fujimoto JG, et al. Journal article, 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 Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation (2024) Hernandez A, Perez Toro PA, Arias-Vergara T, Vasquez-Correa JC, Yang SH, Orozco-Arroyave JR, Maier A 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 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 Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach (2023) Hung H, Perez Toro PA, Arias Vergara T, Maier A, Nöth E Conference contribution