| In defence of metric learning for speaker recognition JS Chung, J Huh, S Mun, M Lee, HS Heo, S Choe, C Ham, S Jung, ... arXiv preprint arXiv:2003.11982, 2020 | 448 | 2020 |
| FPGA-based low-power speech recognition with recurrent neural networks M Lee, K Hwang, J Park, S Choi, S Shin, W Sung 2016 IEEE International Workshop on Signal Processing Systems (SiPS), 230-235, 2016 | 98 | 2016 |
| SVD-softmax: Fast softmax approximation on large vocabulary neural networks K Shim, M Lee, I Choi, Y Boo, W Sung Advances in neural information processing systems 30, 2017 | 47 | 2017 |
| Online keyword spotting with a character-level recurrent neural network K Hwang, M Lee, W Sung arXiv preprint arXiv:1512.08903, 2015 | 38 | 2015 |
| Fault tolerance analysis of digital feed-forward deep neural networks M Lee, K Hwang, W Sung 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 29 | 2014 |
| Metric learning for keyword spotting J Huh, M Lee, H Heo, S Mun, JS Chung 2021 IEEE Spoken Language Technology Workshop (SLT), 133-140, 2021 | 23 | 2021 |
| DEMUCS-Mobile: On-Device Lightweight Speech Enhancement. L Lee, Y Ji, M Lee, MS Choi, N Coporation Interspeech, 2711-2715, 2021 | 3 | 2021 |
| In defence of metric learning for speaker recognition J Son Chung, J Huh, S Mun, M Lee, HS Heo, S Choe, C Ham, S Jung, ... arXiv e-prints, arXiv: 2003.11982, 2020 | 2 | 2020 |
| Encoder-decoder multimodal speaker change detection J Jung, S Seo, HS Heo, G Kim, YJ Kim, Y Kwon, M Lee, BJ Lee arXiv preprint arXiv:2306.00680, 2023 | 1 | 2023 |
| Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification HS Heo, KH Nam, BJ Lee, Y Kwon, M Lee, YJ Kim, JS Chung ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Hee-Soo HeoNaver Corporation, University of SeoulDirección de correo verificada de uos.ac.kr
