| Fithubert: Going thinner and deeper for knowledge distillation of speech self-supervised learning Y Lee, K Jang, J Goo, Y Jung, H Kim arXiv preprint arXiv:2207.00555, 2022 | 48 | 2022 |
| Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots Y Suh, Y Kim, H Lim, J Goo, Y Jung, Y Choi, H Kim, DL Choi, Y Lee 2017 20th Conference of the Oriental Chapter of the International …, 2017 | 20 | 2017 |
| Multi-task network for noise-robust keyword spotting and speaker verification using CTC-based soft VAD and global query attention M Jung, Y Jung, J Goo, H Kim arXiv preprint arXiv:2005.03867, 2020 | 19 | 2020 |
| Additional shared decoder on Siamese multi-view encoders for learning acoustic word embeddings M Jung, H Lim, J Goo, Y Jung, H Kim 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 17 | 2019 |
| 발화범위 프로파일 과제 개발 및 타당성 검증 김재옥， 이승진 한국음성학회 11 (3), 77-87, 2019 | 7 | 2019 |
| Interlayer selective attention network for robust personalized wake-up word detection H Lim, Y Kim, J Goo, H Kim IEEE Signal Processing Letters 27, 126-130, 2019 | 5 | 2019 |
| Learning self-informed feature contribution for deep learning-based acoustic modeling Y Kim, M Kim, J Goo, H Kim IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 5 | 2018 |
| Visual analysis of attention-based end-to-end speech recognition S Lim, J Goo, H Kim Phonetics and Speech Sciences 11 (1), 41-49, 2019 | 2 | 2019 |
| Speaker Normalization Through Feature Shifting of Linearly Transformed i-Vector. J Goo, Y Kim, H Lim, H Kim INTERSPEECH, 3489-3493, 2016 | 2 | 2016 |
| Semi-supervised domain adaptation using unlabeled data for end-to-end speech recognition H Jeong, J Goo, H Kim Phonetics and Speech Sciences 12 (2), 29-37, 2020 | | 2020 |
| Semi-Supervised Domain Adaptation for End-to-End Automatic Speech Recognition H Jeong, J Goo, S Kim, HR Kim SICSS 2019, 134-134, 2019 | | 2019 |
| A Study on Pretraining of End-to-End Speech Recognition Model J Goo, H Jeong, S Kim, HR Kim SICSS 2019, 75-76, 2019 | | 2019 |
| Deep Least Squares Regression for Speaker Adaptation. Y Kim, H Lim, J Goo, H Kim INTERSPEECH, 729-733, 2017 | | 2017 |
| L1-norm regularization 을 통한 SGMM 의 state vector 적응 구자현， 김영관， 김회린 말소리와 음성과학 7 (3), 131-138, 2015 | | 2015 |
| L1-norm Regularization for State Vector Adaptation of Subspace Gaussian Mixture Model J Goo, Y Kim, H Kim Phonetics and Speech Sciences 7 (3), 131-138, 2015 | | 2015 |
| L1-norm regularization 을 통한 SGMM 의 state vector 적응 J Goo, Y Kim, H Kim | | |
