Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation. - Sunwoo Kim 003; Mrinmoy Maity; Minje Kim (ICASSP, 2019)

Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing. - Sunwoo Kim 003; Minje Kim (CoRR, 2019)

Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. - Sunwoo Kim 003; Haici Yang; Minje Kim (ICASSP, 2020)

Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification. - Aswin Sivaraman; Sunwoo Kim 003; Minje Kim (Interspeech, 2021)

Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. - Sunwoo Kim 003; Minje Kim (WASPAA, 2021)

Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. - Sunwoo Kim 003; Minje Kim (ICASSP, 2022)

Boosted Locality Sensitive Hashing: Discriminative, Efficient, and Scalable Binary Codes for Source Separation. - Sunwoo Kim 003; Minje Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2022)