| 2025 | ASRU | SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compresison in Speaker Verification. | Jungwoo Heo, Hyun-seo Shin, Chan-yeong Lim, Kyo-Won Koo, Seung-bin Kim, Jisoo Son, Ha-Jin Yu |
| 2025 | ASRU | Token-based Attractors and Cross-attention in Spoof Diarization. | Kyo-Won Koo, Chan-yeong Lim, Jee-Weon Jung, Hye-Jin Shim, Ha-Jin Yu |
| 2025 | Interspeech | Enhancing Audio Deepfake Detection by Improving Representation Similarity of Bonafide Speech. | Seung-bin Kim, Hyun-seo Shin, Jungwoo Heo, Chan-yeong Lim, Kyo-Won Koo, Jisoo Son, Sanghyun Hong, Souhwan Jung, Ha-Jin Yu |
| 2025 | Interspeech | SEED: Speaker Embedding Enhancement Diffusion Model. | Kihyun Nam, Jungwoo Heo, Jee-weon Jung, Gangin Park, Chaeyoung Jung, Ha-Jin Yu, Joon Son Chung |
| 2024 | ICASSP | Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models. | Ju-Ho Kim, Jungwoo Heo, Hyun-seo Shin, Chan-yeong Lim, Ha-Jin Yu |
| 2024 | ICASSP | HM-CONFORMER: A Conformer-Based Audio Deepfake Detection System with Hierarchical Pooling and Multi-Level Classification Token Aggregation Methods. | Hyun-seo Shin, Jungwoo Heo, Ju-ho Kim, Chan-yeong Lim, Wonbin Kim, Ha-Jin Yu |
| 2024 | Interspeech | Self-supervised speaker verification with relational mask prediction. | Ju-ho Kim, Hee-Soo Heo, Bong-Jin Lee, Youngki Kwon, Minjae Lee, Ha-Jin Yu |
| 2024 | Interspeech | MR-RawNet: Speaker verification system with multiple temporal resolutions for variable duration utterances using raw waveforms. | Seung-bin Kim, Chan-yeong Lim, Jungwoo Heo, Ju-ho Kim, Hyun-seo Shin, Kyo-Won Koo, Ha-Jin Yu |
| 2024 | Interspeech | Improving Noise Robustness in Self-supervised Pre-trained Model for Speaker Verification. | Chan-yeong Lim, Hyun-seo Shin, Ju-ho Kim, Jungwoo Heo, Kyo-Won Koo, Seung-bin Kim, Ha-Jin Yu |
| 2023 | IJCAI | SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity. | Young-Joo Han, Ha-Jin Yu |
| 2023 | Interspeech | One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification. | Jungwoo Heo, Chan-yeong Lim, Ju-ho Kim, Hyun-seo Shin, Ha-Jin Yu |
| 2022 | ICASSP | AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks. | Jee-weon Jung, Hee-Soo Heo, Hemlata Tak, Hye-jin Shim, Joon Son Chung, Bong-Jin Lee, Ha-Jin Yu, Nicholas W. D. Evans |
| 2022 | ICASSP | RawNeXt: Speaker Verification System For Variable-Duration Utterances With Deep Layer Aggregation And Extended Dynamic Scaling Policies. | Ju-ho Kim, Hye-Jin Shim, Jungwoo Heo, Ha-Jin Yu |
| 2022 | ICASSP | Graph Attentive Feature Aggregation for Text-Independent Speaker Verification. | Hye-Jin Shim, Jungwoo Heo, Jae-Han Park, Ga-Hui Lee, Ha-Jin Yu |
| 2022 | ICASSP | Attentive Max Feature Map and Joint Training for Acoustic Scene Classification. | Hye-jin Shim, Jee-weon Jung, Ju-ho Kim, Ha-Jin Yu |
| 2022 | Interspeech | SASV 2022: The First Spoofing-Aware Speaker Verification Challenge. | Jee-weon Jung, Hemlata Tak, Hye-jin Shim, Hee-Soo Heo, Bong-Jin Lee, Soo-Whan Chung, Ha-Jin Yu, Nicholas W. D. Evans, Tomi Kinnunen |
| 2022 | Interspeech | Extended U-Net for Speaker Verification in Noisy Environments. | Ju-ho Kim, Jungwoo Heo, Hye-jin Shim, Ha-Jin Yu |
| 2021 | ICASSP | Graph Attention Networks for Speaker Verification. | Jee-weon Jung, Hee-Soo Heo, Ha-Jin Yu, Joon Son Chung |
| 2021 | ICASSP | DCASENET: An Integrated Pretrained Deep Neural Network for Detecting and Classifying Acoustic Scenes and Events. | Jee-weon Jung, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu |
| 2020 | ICASSP | Multiple Points Input For Convolutional Neural Networks in Replay Attack Detection. | Sung-Hyun Yoon, Ha-Jin Yu |
| 2020 | Interspeech | Improved RawNet with Feature Map Scaling for Text-Independent Speaker Verification Using Raw Waveforms. | Jee-weon Jung, Seung-bin Kim, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu |
| 2020 | Interspeech | Acoustic Scene Classification Using Audio Tagging. | Jee-weon Jung, Hye-jin Shim, Ju-ho Kim, Seung-bin Kim, Ha-Jin Yu |
| 2020 | Interspeech | Segment Aggregation for Short Utterances Speaker Verification Using Raw Waveforms. | Seung-bin Kim, Jee-weon Jung, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu |
| 2020 | Interspeech | Self-Supervised Pre-Training with Acoustic Configurations for Replay Spoofing Detection. | Hye-jin Shim, Hee-Soo Heo, Jee-weon Jung, Ha-Jin Yu |
| 2019 | ASRU | Short Utterance Compensation in Speaker Verification via Cosine-Based Teacher-Student Learning of Speaker Embeddings. | Jee-Weon Jung, Hee-Soo Heo, Hye-Jin Shim, Ha-Jin Yu |
| 2019 | Interspeech | Acoustic Scene Classification Using Teacher-Student Learning with Soft-Labels. | Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim, Ha-Jin Yu |
| 2019 | Interspeech | End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification. | Hee-Soo Heo, Jee-weon Jung, Il-Ho Yang, Sung-Hyun Yoon, Hye-jin Shim, Ha-Jin Yu |
| 2019 | Interspeech | RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification. | Jee-weon Jung, Hee-Soo Heo, Ju-ho Kim, Hye-jin Shim, Ha-Jin Yu |
| 2019 | Interspeech | Replay Attack Detection with Complementary High-Resolution Information Using End-to-End DNN for the ASVspoof 2019 Challenge. | Jee-weon Jung, Hye-jin Shim, Hee-Soo Heo, Ha-Jin Yu |
| 2018 | ICASSP | A Complete End-to-End Speaker Verification System Using Deep Neural Networks: From Raw Signals to Verification Result. | Jee-weon Jung, Hee-Soo Heo, Il-Ho Yang, Hye-jin Shim, Ha-Jin Yu |
| 2018 | Interspeech | Avoiding Speaker Overfitting in End-to-End DNNs Using Raw Waveform for Text-Independent Speaker Verification. | Jee-weon Jung, Hee-Soo Heo, Il-Ho Yang, Hye-jin Shim, Ha-Jin Yu |
| 2017 | ICASSP | Applying compensation techniques on i-vectors extracted from short-test utterances for speaker verification using deep neural network. | Il-Ho Yang, Hee-Soo Heo, Sung-Hyun Yoon, Ha-Jin Yu |
| 2017 | Interspeech | Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification. | Hee-Soo Heo, Jee-weon Jung, Il-Ho Yang, Sung-Hyun Yoon, Ha-Jin Yu |
| 2016 | ICASSP | Advanced b-vector system based deep neural network as classifier for speaker verification. | Hee-Soo Heo, Il-Ho Yang, Myung-Jae Kim, Sung-Hyun Yoon, Ha-Jin Yu |
| 2012 | HAIS | Robust Speaker Identification Using Ensembles of Kernel Principal Component Analysis. | Il-Ho Yang, Min-Seok Kim, Byung-Min So, Myung-Jae Kim, Ha-Jin Yu |
| 2010 | ICASSP | Kernel multimodal discriminant analysis for speaker verification. | Min-Seok Kim, Il-Ho Yang, Ha-Jin Yu |
| 2009 | ICTAI | Robust Speaker Identification Using Multimodal Discriminant Analysis with Kernels. | Min-Seok Kim, Il-Ho Yang, Ha-Jin Yu |
| 2008 | ICNC | Maximizing Distance between GMMs for Speaker Verification. | Min-Seok Kim, Il-Ho Yang, Ha-Jin Yu |
| 2008 | ICTAI | Robust Speaker Identification Using Greedy Kernel PCA. | Min-Seok Kim, Il-Ho Yang, Ha-Jin Yu |
| 2007 | ICTAI | A New Feature Transformation Method Based on Rotation for Speaker Identification. | Min-Seok Kim, Ha-Jin Yu |
| 2002 | Interspeech | A training prompts generation algorithm for connected spoken word recognition. | Ha-Jin Yu, Jin Suk Kim |
| 2000 | Interspeech | Large vocabulary Korean continuous speech recognition using a one-pass algorithm. | Ha-Jin Yu, Hoon Kim, Joon-Mo Hong, Min-Seong Kim, Jong-Seok Lee |
| 1998 | Interspeech | Automatic recognition of Korean broadcast news speech. | Ha-Jin Yu, Hoon Kim, Jae-Seung Choi, Joon-Mo Hong, Kew-Suh Park, Jong-Seok Lee, Hee-Youn Lee |
| 1997 | ICASSP | A neural network for 500 vocabulary word spotting using acoustic sub-word units. | Ha-Jin Yu, Yung-Hwan Oh |
| 1996 | Interspeech | A neural network using acoustic sub-word units for continuous speech recognition. | Ha-Jin Yu, Yung-Hwan Oh |
| 1995 | Interspeech | A neural network using non-uniform units for continuous speech recognition. | Ha-Jin Yu, Yung-Hwan Oh |