E-LIB Suche - Ergebnisse für: Lee, Younglo

1

Boosting Unknown-Number Speaker Separation with Transformer..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Lee, Younglo ; Choi, Shukjae ; Kim, Byeong-Yeol.. - p. 446-450 , 2024

Link: https://doi.org/10.1109/..

2

TF-GRIDNET: Making Time-Frequency Domain Models Great Again..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Wang, Zhong-Qiu ; Cornell, Samuele ; Choi, Shukjae... - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

3

TF-GridNet: Integrating Full- and Sub-Band Modeling for Spe..:

Wang, Zhong-Qiu ; Cornell, Samuele ; Choi, Shukjae...
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31 (2023) - p. 3221-3236 , 2023

Link: https://doi.org/10.1109/..

4

FNeural Speech Enhancement with Very Low Algorithmic Latenc..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Wang, Zhong-Qiu ; Cornell, Samuele ; Choi, Shukjae... - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

5

An Empirical Study of Training Mixture Generation Strategie..:

, In: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),

Choi, Shukjae ; Lee, Younglo ; Park, Jihwan... - p. 1070-1075 , 2022

Link: https://doi.org/10.23919..

6

Multi-task Learning for Animal Species and Group Category C..:

, In: Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City,

Kim, Donghyeon ; Lee, Younglo ; Ko, Hanseok - p. 435-438 , 2019

Link: https://dl.acm.org/doi/1..

7

Rapid on-chip integration of opal films and photonic gel se..:

Lee, Seungjae ; Lee, Young-Lo ; Kim, Bomin...
Sensors and Actuators B: Chemical. 231 (2016) - p. 256-264 , 2016

Link: https://doi.org/10.1016/..

8

Boosting Unknown-number Speaker Separation with Transformer..:

Lee, Younglo ; Choi, Shukjae ; Kim, Byeong-Yeol..
http://arxiv.org/abs/2401.12473. , 2024

Link: http://arxiv.org/abs/240..

9

Neural Speech Enhancement with Very Low Algorithmic Latency..:

Wang, Zhong-Qiu ; Cornell, Samuele ; Choi, Shukjae...
http://arxiv.org/abs/2304.08707. , 2023

Link: http://arxiv.org/abs/230..

10

TF-GridNet: Integrating Full- and Sub-Band Modeling for Spe..:

Wang, Zhong-Qiu ; Cornell, Samuele ; Choi, Shukjae...
http://arxiv.org/abs/2211.12433. , 2022

Link: http://arxiv.org/abs/221..

11

TF-GridNet: Making Time-Frequency Domain Models Great Again..:

Wang, Zhong-Qiu ; Cornell, Samuele ; Choi, Shukjae...
http://arxiv.org/abs/2209.03952. , 2022

Link: http://arxiv.org/abs/220..

12

Analysis Acoustic Features for Acoustic Scene Classificatio..:

Park, Sangwook ; Mun, Seongkyu ; Lee, Younglo..
http://arxiv.org/abs/1807.04970. , 2018

Link: http://arxiv.org/abs/180..

13

Early-type Host Galaxies of Type Ia Supernovae. II. Evidenc..:

Kang, Yijung ; Lee, Young-Wook ; Kim, Young-Lo..
http://arxiv.org/abs/1912.04903. , 2019

Link: http://arxiv.org/abs/191..

14

Environmental Dependence of Type Ia Supernova Luminosities ..:

Kim, Young-Lo ; Kang, Yijung ; Lee, Young-Wook
http://arxiv.org/abs/1908.10375. , 2019

Link: http://arxiv.org/abs/190..

15

Environmental Dependence of Type Ia Supernova Luminosities ..:

Kim, Young-Lo ; Smith, Mathew ; Sullivan, Mark.
http://arxiv.org/abs/1801.01192. , 2017

Link: http://arxiv.org/abs/180..