A Low-Jitter Added SSCG with Seamless Phase Selection and Fast AFC for 3rd Generation Serial-ATA. - Jongshin Shin; Ilwon Seo; Jiyoung Kim; Seung-Hee Yang; Chiwon Kim; Jaehyun Park; Hyungoo Kim; Myoungbo Kwak; GhyBoong Hong (CICC, 2006)

A 65nm 3.4Gbps HDMI TX PHY with supply-regulated dual-tuning PLL and blending multiplexer. - Jongshin Shin; Jaehyun Park; Bongjin Kim; Jongjae Ryu; Chiwon Kim; Jiyoung Kim; Seung-Hee Yang; Hyungoo Kim; Jaewhui Kim (CICC, 2008)

A corpus-based analysis of Korean segments produced by Chinese learners. - Seung-Hee Yang; Hyuksu Ryu; Minhwa Chung (APSIPA, 2015)

Modeling pronunciation variations for non-native speech recognition of Korean produced by Chinese learners. - Seung-Hee Yang; Minsoo Na; Minhwa Chung (SLaTE, 2015)

Linguistic Factors Affecting Evaluation of L2 Korean Speech Proficiency. - Seung-Hee Yang; Minhwa Chung (SLaTE, 2017)

Introducing Smart Pillow Using Actuator Mechanism, Pressure Sensors, and Deep Learning-Based ASR. - Seung-Hee Yang; Sangwoo Park; Taemyung Yang; Ilhyung Jin; Wooil Kim; Chingwei Liu; Seong Woo Kim; Juhyun Eune (AH, 2018)

Self-Imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training. - Seung Hee Yang; Minhwa Chung (INTERSPEECH, 2019)

WithDorm: Dormitory Solution for Linking Roommates. - Taehyeong Kim; Minji Kwak; Seung Hee Yang; Jaeseo Lim; Byoung-Tak Zhang (MobileHCI, 2019)

Comparison between read and spontaneous speech assessment of L2 Korean. - Seung Hee Yang; Minhwa Chung (O-COCOSDA, 2019)

Improving Dysarthric Speech Intelligibility using Cycle-consistent Adversarial Training. - Seung Hee Yang; Minhwa Chung (BIOSIGNALS, 2020)

A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study. - Sihyeon Jo; Sangwon Im; Sangwook Han; Seung-Hee Yang; Hee-Eun Kim; Seong Woo Kim (CoRR, 2020)

Multimodal Corpus Analysis of Autoblog 2020: Lecture Videos in Machine Learning. - Abner Hernandez; Seung Hee Yang (SPECOM, 2021)

Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future. - Andreas Maier 001; Harald Köstler; Marco Heisig; Patrick Krauss; Seung Hee Yang (CoRR, 2021)

Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data. - Andreas K. Maier; Seung Hee Yang; Farhad Maleki; Nikesh Muthukrishnan; Reza Forghani (CoRR, 2021)

Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data. - Andreas K. Maier; Seung Hee Yang; Farhad Maleki; Nikesh Muthukrishnan; Reza Forghani (Bildverarbeitung für die Medizin, 2022)

Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. - Abner Hernandez; Paula Andrea Pérez-Toro; Elmar Nöth; Juan Rafael Orozco-Arroyave; Andreas K. Maier; Seung Hee Yang (INTERSPEECH, 2022)

Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment. - Tobias Weise; Philipp Klumpp; Andreas K. Maier; Elmar Nöth; Björn Heismann; Maria Schuster; Seung Hee Yang (INTERSPEECH, 2022)

PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. - Kubilay Can Demir; Matthias S. May; Axel Schmid; Michael Uder; Katharina Breininger; Tobias Weise; Andreas K. Maier; Seung Hee Yang (TSD, 2022)

Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech. - Abner Hernandez; Philipp Klumpp; Badhan Das; Andreas K. Maier; Seung Hee Yang (TSD, 2022)

SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks. - Aline Sindel; Abner Hernandez; Seung Hee Yang; Vincent Christlein; Andreas K. Maier (CoRR, 2022)

Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices. - Abner Hernandez; Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Andreas K. Maier; Seung Hee Yang (CoRR, 2022)

Is Speech Pathology a Biomarker in Automatic Speaker Verification? - Soroosh Tayebi Arasteh; Tobias Weise; Maria Schuster; Elmar Nöth; Andreas K. Maier; Seung Hee Yang (CoRR, 2022)

Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. - Soroosh Tayebi Arasteh; Cristian David Ríos-Urrego; Elmar Nöth; Andreas Maier 001; Seung Hee Yang; Jan Rusz; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images. - Kubilay Can Demir; Tobias Weise; Matthias May 002; Axel Schmid; Andreas Maier 001; Seung Hee Yang (INTERSPEECH, 2023)

Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. - Tobias Weise; Paula Andrea Pérez-Toro; Andrea Deitermann; Bettina Hoffmann; Kubilay Can Demir; Theresa Straetz; Elmar Nöth; Andreas K. Maier; Thomas Kallert; Seung Hee Yang (ML4MHD, 2023)

Impact of Including Pathological Speech in Pre-training on Pathology Detection. - Tobias Weise; Andreas K. Maier; Kubilay Can Demir; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Björn Heismann; Elmar Nöth; Maria Schuster; Seung Hee Yang (TSD, 2023)

ADABase: A Multimodal Dataset for Cognitive Load Estimation. - Maximilian P. Oppelt; Andreas Foltyn; Jessica Deuschel; Nadine R. Lang; Nina Holzer; Bjoern M. Eskofier; Seung Hee Yang (Sensors, 2023)

Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition. - Kubilay Can Demir; Hannah Schieber; Tobias Weise; Daniel Roth 001; Matthias May 002; Andreas K. Maier; Seung Hee Yang (IEEE J. Biomed. Health Informatics, 2023)

Towards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis. - Kubilay Can Demir; Belén Lojo Rodríguez; Tobias Weise; Andreas K. Maier; Seung Hee Yang (INTERSPEECH, 2024)

Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech. - Tobias Weise; Philipp Klumpp; Kubilay Can Demir; Paula Andrea Pérez-Toro; Maria Schuster; Elmar Nöth; Björn Heismann; Andreas K. Maier; Seung Hee Yang (INTERSPEECH, 2024)

Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation. - Abner Hernandez; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Seung Hee Yang; Juan Rafael Orozco-Arroyave; Andreas K. Maier (TSD (2), 2024)

The Impact of Speech Anonymization on Pathology and Its Limits. - Soroosh Tayebi Arasteh; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Tobias Weise; Kai Packhäuser; Maria Schuster; Elmar Nöth; Andreas Maier 001; Seung Hee Yang (CoRR, 2024)

Differential privacy for protecting patient data in speech disorder detection using deep learning. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Maria Schuster; Andreas K. Maier; Seung Hee Yang (CoRR, 2024)

Indoor Synthetic Data Generation: A Systematic Review. - Hannah Schieber; Kubilay Can Demir; Constantin Kleinbeck; Seung Hee Yang; Daniel Roth 001 (Comput. Vis. Image Underst., 2024)

Towards End-to-End Speech Articulation and Spoken Language Analysis Using Deep Learning. - Tobias Weise; Kubilay Can Demir; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Andreas Maier 001; Elmar Nöth; Maria Schuster; Björn Heismann; Seung Hee Yang (Hum. Centric Intell. Syst., 2025)

Perceptual Implications of Automatic Anonymization in Pathological Speech. - Soroosh Tayebi Arasteh; Saba Afza; Tri-Thien Nguyen; Lukas Buess; Maryam Parvin; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Hiuching Hung; Mahshad Lotfinia; Thomas Gorges; Elmar Nöth; Maria Schuster; et al. (CoRR, 2025)