Tobias Weise

Professur für Artificial Intelligence in Biomedical Speech Processing (Stiftungsprofessur) Department Artificial Intelligence in Biomedical Engineering (AIBE)

Towards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis (2024) Demir K, Lojo Rodríguez MB, Weise T, Maier A, Yang SH 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 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) Yang SH, Weise T, Demir K Conference contribution, 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 PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images (2023) Yang SH, Demir K, Weise T, Schmid A, May M, Maier A Conference contribution, Conference Contribution Multi-Modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video (2023) Weise T, Perez Toro PA, Deitermann A, Hoffmann B, Demir K, Straetz T, Nöth E, et al. Conference contribution, 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. Authored book, Volume of book series Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition (2023) Demir K, Schieber H, Weise T, May M, Maier A, Yang SH Journal article Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution