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Younglo Lee
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2020 – today
- 2024
- [c9]Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhongqiu Wang, Shinji Watanabe:
Boosting Unknown-Number Speaker Separation with Transformer Decoder-Based Attractor. ICASSP 2024: 446-450 - [i6]Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhong-Qiu Wang, Shinji Watanabe:
Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor. CoRR abs/2401.12473 (2024) - [i5]Tan Dat Nguyen, Ji-Hoon Kim, Jeongsoo Choi, Shukjae Choi, Jinseok Park, Younglo Lee, Joon Son Chung:
Accelerating Codec-based Speech Synthesis with Multi-Token Prediction and Speculative Decoding. CoRR abs/2410.13839 (2024) - 2023
- [j3]Zhong-Qiu Wang
, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3221-3236 (2023) - [c8]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. ICASSP 2023: 1-5 - [c7]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. ICASSP 2023: 1-5 - [i4]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling. CoRR abs/2304.08707 (2023) - 2022
- [i3]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. CoRR abs/2209.03952 (2022) - [i2]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. CoRR abs/2211.12433 (2022) - 2020
- [j2]Younglo Lee
Spectro-Temporal Attention-Based Voice Activity Detection. IEEE Signal Process. Lett. 27: 131-135 (2020)
2010 – 2019
- 2019
- [c6]Donghyeon Kim, Younglo Lee, Hanseok Ko
Multi-task Learning for Animal Species and Group Category Classification. ICIT 2019: 435-438 - 2018
- [j1]Younglo Lee
Man-Made Radio Frequency Interference Suppression for Compact HF Surface Wave Radar. IEEE Geosci. Remote. Sens. Lett. 15(9): 1317-1321 (2018) - [c5]Younglo Lee, Sangwook Park, Hanseok Ko
A time delay convolutional neural network for acoustic scene classification. ICCE 2018: 1-3 - [c4]Youngsaeng Jin, Junggi Kwak, Younglo Lee, Jeongseop Yun, Hanseok Ko:
KU-ISPL TRECVID 2018 VTT Model. TRECVID 2018 - [i1]Sangwook Park, Seongkyu Mun, Younglo Lee, David K. Han, Hanseok Ko:
Analysis Acoustic Features for Acoustic Scene Classification and Score fusion of multi-classification systems applied to DCASE 2016 challenge. CoRR abs/1807.04970 (2018) - 2017
- [c3]Sangwook Park, Seongkyu Mun, Younglo Lee, Hanseok Ko:
Acoustic Scene Classification Based on Convolutional Neural Network Using Double Image Features. DCASE 2017: 98-102 - [c2]Sangwook Park, Younglo Lee, David K. Han, Hanseok Ko
Subspace projection cepstral coefficients for noise robust acoustic event recognition. ICASSP 2017: 761-765 - [c1]Sangwook Park, Chul Jin Cho, Younglo Lee, Andrew Da Costa, Sangho Lee, Hanseok Ko
Coastal ship monitoring based on multiple compact high frequency surface wave radars. MFI 2017: 565-569
Coauthor Index
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