Segui
Minjae Lee
Minjae Lee
Clova Speech, NAVER Corporation
Email verificata su navercorp.com
Titolo
Citata da
Citata da
Anno
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
5342020
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
1042016
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
562017
Online keyword spotting with a character-level recurrent neural network
K Hwang, M Lee, W Sung
arXiv preprint arXiv:1512.08903, 2015
412015
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
312014
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
262021
DEMUCS-Mobile: On-Device Lightweight Speech Enhancement.
L Lee, Y Ji, M Lee, MS Choi, N Coporation
Interspeech, 2711-2715, 2021
52021
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
42023
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
22024
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
22020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–10