Dr.-Ing. Paula Andrea Perez Toro

Lehrstuhl für Informatik 5 (Mustererkennung) Professur für Informatik (Mustererkennung) Technische Fakultät

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids (2025) Oelhaf J, Kordowich G, Perez Toro PA, Arias Vergara T, Maier A, Jäger J, Bayer S Conference contribution Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection (2025) Oelhaf J, Kordowich G, Kim C, Perez Toro PA, Maier A, Jäger J, Bayer S Unpublished / Preprint Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech (2024) Tayebi Arasteh S,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 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 Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer (2024) Liu X, Xing F, Bian Z, Arias Vergara T, Perez Toro PA, Maier A, Stone M, et al. 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 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 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