| Robust sound event classification using LBP-HOG based bag-of-audio-words feature representation. H Lim, MJ Kim, H Kim INTERSPEECH, 3325-3329, 2015 | 49 | 2015 |
| Spatial pyramid encoding with convex length normalization for text-independent speaker verification Y Jung, Y Kim, H Lim, Y Choi, H Kim INTERSPEECH, 2019-2177, 2019 | 32 | 2019 |
| A unified deep learning framework for short-duration speaker verification in adverse environments Y Jung, Y Choi, H Lim, H Kim IEEE Access 8, 175448-175466, 2020 | 23 | 2020 |
| Cross-acoustic transfer learning for sound event classification H Lim, MJ Kim, H Kim 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 23 | 2016 |
| Linear-scale filterbank for deep neural network-based voice activity detection Y Jung, Y Kim, H Lim, H Kim 2017 20th Conference of the Oriental Chapter of the International …, 2017 | 21 | 2017 |
| 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 |
| Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings M Jung, H Lim, J Goo, Y Jung, H Kim ASRU 2019, 2019 | 17 | 2019 |
| CNN-based bottleneck feature for noise robust query-by-example spoken term detection H Lim, Y Kim, Y Kim, H Kim 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 12 | 2017 |
| Cross-informed domain adversarial training for noise-robust wake-up word detection H Lim, Y Kim, H Kim IEEE Signal Processing Letters 27, 1769-1773, 2020 | 5 | 2020 |
| 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 acoustic word embeddings with phonetically associated triplet network H Lim, Y Kim, Y Jung, M Jung, H Kim arXiv preprint arXiv:1811.02736, 2018 | 5 | 2018 |
| Sound event classification using deep neural network based transfer learning H Lim, MJ Kim, H Kim The Journal of the Acoustical Society of Korea 35 (2), 143-148, 2016 | 3 | 2016 |
| Lightweight feature encoder for wake-up word detection based on self-supervised speech representation H Lim, Y Kim, K Yeom, E Seo, H Lee, SJ Choi, H Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Speaker Normalization Through Feature Shifting of Linearly Transformed i-Vector. J Goo, Y Kim, H Lim, H Kim INTERSPEECH, 3489-3493, 2016 | 2 | 2016 |
| Bag-of-audio-words feature representation using GMM clustering for sound event classification L Hyungjun, MJ Kim, HR Kim ICEIC2015, 170-175, 2015 | 2 | 2015 |
| Investigation of Training Mute-Expressive End-to-End Speech Separation Networks for an Unknown Number of Speakers Y Kim, H Lim, K Yeom, E Seo, H Lee, SJ Choi, H Lee Interspeech 2023, 2023 | | 2023 |
| Triplet loss based domain adversarial training for robust wake-up word detection in noisy environments H Lim, M Jung, H Kim The Journal of the Acoustical Society of Korea 39 (5), 468-475, 2020 | | 2020 |
| Score fusion based Vocabulary Independent Spoken Term Detection L Hyungjun, J Goo, S Lim, HR Kim ICCE-Asia, 365-367, 2018 | | 2018 |
| DNN-driven I-vector based speaker identification on mismatch environments Y Kim, Y Kim, H Lim, HR Kim 2017 Seoul International Conference on Speech Sciences, 155-155, 2017 | | 2017 |
| Deep Least Squares Regression for Speaker Adaptation. Y Kim, H Lim, J Goo, H Kim INTERSPEECH, 729-733, 2017 | | 2017 |
Hoirin KimProfessor of Electrical Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
