Younglo Lee

Orcid: 0000-0002-0725-3444

According to our database1, Younglo Lee authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor.
CoRR, 2024

2023
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling.
CoRR, 2023

FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2023

TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2020
Spectro-Temporal Attention-Based Voice Activity Detection.
IEEE Signal Process. Lett., 2020

2019
Multi-task Learning for Animal Species and Group Category Classification.
Proceedings of the ICIT 2019, 2019

2018
Man-Made Radio Frequency Interference Suppression for Compact HF Surface Wave Radar.
IEEE Geosci. Remote. Sens. Lett., 2018

Analysis Acoustic Features for Acoustic Scene Classification and Score fusion of multi-classification systems applied to DCASE 2016 challenge.
CoRR, 2018

KU-ISPL TRECVID 2018 VTT Model.
Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

A time delay convolutional neural network for acoustic scene classification.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

2017
Coastal ship monitoring based on multiple compact high frequency surface wave radars.
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

Subspace projection cepstral coefficients for noise robust acoustic event recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Acoustic Scene Classification Based on Convolutional Neural Network Using Double Image Features.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017


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