Prof Dr. Seung Hee Yang

2024

• Hernandez, A., Perez Toro, P.A., Arias-Vergara, T., Vasquez-Correa, J.C., Yang, S.H., Orozco-Arroyave, J.R., & Maier, A. (2024). Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation. In Elmar Nöth, Aleš Horák, Petr Sojka (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 149-160). Brno, CZE: Springer Science and Business Media Deutschland GmbH.
• Schieber, H., Demir, K., Kleinbeck, C., Yang, S.H., & Roth, D. (2024). Indoor Synthetic Data Generation: A Systematic Review. Computer Vision and Image Understanding, 240. https://doi.org/10.1016/j.cviu.2023.103907
• Tayebi Arasteh, S., Arias-Vergara, T., Perez Toro, P.A., Weise, T., Packhäuser, K., Schuster, M.,... Yang, S.H. (2024). Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech. Communications Medicine, 4(1). https://doi.org/10.1038/s43856-024-00609-5

2023

• Demir, K., Schieber, H., Weise, T., May, M., Maier, A., & Yang, S.H. (2023). Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition. IEEE Journal of Biomedical and Health Informatics, 1-14. https://doi.org/10.1109/JBHI.2023.3311628
• Oppelt, M.P., Foltyn, A., Deuschel, J., Lang, N.R., Holzer, N., Eskofier, B., & Yang, S.H. (2023). ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors, 23(1). https://doi.org/10.3390/s23010340
• Tayebi Arasteh, S., Rios-Urrego, C.D., Nöth, E., Maier, A., Yang, S.H., Rusz, J., & Rafael Orozco-Arroyave, J. (2023). Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages. In Proceedings of INTERSPEECH 2023 (pp. 5). Dublin, IE: Dublin, Ireland.
• Tayebi Arasteh, S., Weise, T., Schuster, M., Nöth, E., Maier, A., & Yang, S.H. (2023). The effect of speech pathology on automatic speaker verification: a large-scale study. Scientific Reports, 13, 20476. https://doi.org/10.1038/s41598-023-47711-7
• Weise, T., Maier, A., Demir, K., Perez Toro, P.A., Arias Vergara, T., Heismann, B.,... Yang, S.H. (2023). Impact of Including Pathological Speech in Pre-training on Pathology Detection. In Kamil Ekštein, František Pártl, Miloslav Konopík (Eds.), Text, Speech, and Dialogue (pp. 141-153). Pilsen, CZ: Cham: Springer.
• Weise, T., Maier, A., Demir, K., Perez Toro, P.A., Arias Vergara, T., Heismann, B.,... Yang, S.H. (2023). Impact of Including Pathological Speech in Pre-training on Pathology Detection. Springer Science and Business Media Deutschland GmbH.
• Weise, T., Perez Toro, P.A., Deitermann, A., Hoffmann, B., Demir, K., Straetz, T.,... Yang, S.H. (2023). Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. Springer Science and Business Media Deutschland GmbH.
• Yang, S.H., Demir, K., Weise, T., Schmid, A., May, M., & Maier, A. (2023). PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images. In Proceedings of the International Conference Interspeech 2023 (pp. 5). Dublin, IE.
• Yang, S.H., Perez Toro, P.A., Weise, T., Hoffmann, B., Demir, K., Nöth, E.,... Maier, A. (2023). Multi-Modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. In International Conference on Machine Learning (Workshop on Machine Learning for Multimodal Healthcare) (pp. 9). Hawaii Convention Center, 1801 Kalākaua Ave, Honolulu, HI 96815, United States, US.
• Yang, S.H., Weise, T., & Demir, K. (2023). Impact of Including Pathological Speech in Pre-Training on Pathology Detection. In Proceedings of the Text, Speech, and Dialogue. Satellite event of Interspeech 22023 (pp. 12). Pilsen, CZ.

2022

• Demir, K., May, M., Schmid, A., Uder, M., Breininger, K., Weise, T.,... Yang, S.H. (2022). PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 464-475). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
• Hernandez, A., Klumpp, P., Das, B.K., Maier, A., & Yang, S.H. (2022). Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings (pp. 291-300). Brno, Czech Republic, CZ: Springer Nature Switzerland AG: Springer Cham.
• Hernandez, A., Perez Toro, P.A., Nöth, E., Orozco Arroyave, J.R., Maier, A., & Yang, S.H. (2022). Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. In Proceedings of Interspeech 2022 (pp. 51-55). Seoul, KR.
• Maier, A., Köstler, H., Heisig, M., Krauß, P., & Yang, S.H. (2022). Known operator learning and hybrid machine learning in medical imaging - A review of the past, the present, and the future. Progress in Biomedical Engineering, 4(2). https://doi.org/10.1088/2516-1091/ac5b13
• Maier, A., Yang, S.H., Maleki, F., Muthukrishnan, N., & Forghani, R. (2022). Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 345-350). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Sindel, A., Hernandez, A., Yang, S.H., Christlein, V., & Maier, A. (2022). SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks. In Proceedings of the OAGM Workshop 2021. Computer Vision and Pattern Analysis Across Domains. Verlag der Technischen Universität Graz.
• Weise, T., Maier, A., Nöth, E., Heismann, B., Schuster, M., & Yang, S.H. (2022). Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment. In Proceedings of the Proceedings of INTERSPEECH 2022. Songdo, KR.

2021

• Hernandez, A., & Yang, S.H. (2021). Multimodal Corpus Analysis of Autoblog 2020: Lecture Videos in Machine Learning. In Multimodal Corpus Analysis of Autoblog 2020: Lecture Videos in Machine Learning. Online: Springer.

2020

• Yang, S.H., & Chung, M. (2020). Improving Dysarthric Speech Intelligibility using Cycle-consistent Adversarial Training. In Pedro Gomez Vilda, Ana Fred, Hugo Gamboa (Eds.), BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 (pp. 308-313). Valletta, MT: SciTePress.