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Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content



Haici Yang , Sanna Wager , Spencer Russell , Mike Luo , Minje Kim , Wontak Kim


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SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation



Darius Petermann , Minje Kim

* To Appear in Proc. ICASSP2022 

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BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement



Sunwoo Kim , Minje Kim

* 5 pages, 3 figures, under review 

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Neural Remixer: Learning to Remix Music with Interactive Control



Haici Yang , Shivani Firodiya , Nicholas J. Bryan , Minje Kim


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HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding



Darius Petermann , Seungkwon Beack , Minje Kim

* Accepted to the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2021, Mohonk Mountain House, New Paltz, NY 

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HARP-Net: Hyper-Autoencoded Reconstruction Propagation\\for Scalable Neural Audio Coding



Darius Petermann , Seungkwon Beack , Minje Kim

* Accepted to the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2021, Mohonk Mountain House, New Paltz, NY 

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Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation



Sunwoo Kim , Minje Kim

* 5 pages, 5 figures, under review 

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Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection



Aswin Sivaraman , Minje Kim

* 5 pages, 3 figures, submitted to 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 

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Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification



Aswin Sivaraman , Sunwoo Kim , Minje Kim

* 5 pages, 3 figures, under review 

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Self-Supervised Learning for Personalized Speech Enhancement



Aswin Sivaraman , Minje Kim

* 10 pages, 5 figures, under review 

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