For the past six years, I have been working in automatic speech recognition, speech synthesis, and conversion, In Erlangen, the key focus is to apply speech engineering technologies in the field of the biomedical domain.
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- 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.
- 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.
- 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.