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Don’t Separate, Learn to Remix: End-to-End Neural Remixing
Neural Upmixing via Style Transfer
Learning to Hash for Source Separation
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Psychoacoustic Loss Functions for Neural Audio Coding
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Collaborative Audio Enhancement
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SAIGE@IU
Signals and AI Group in Engineering at Indiana University
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Research Projects
Personalized Speech Enhancement
Collaborative Deep Learning
Sparse Mixture of Local Experts
Knowledge Distillation for PSE
Self-Supervised Learning and Data Purification for PSE
Music Applications
Neural Pitch Correction of Singing Voice
SpaIn-Net: Spatially Informed Music Source Separation
Don’t Separate, Learn to Remix: End-to-End Neural Remixing
Neural Upmixing via Style Transfer
Learning to Hash for Source Separation
Neural Audio Coding
Psychoacoustic Loss Functions for Neural Audio Coding
Source-Aware Neural Audio Coding
HARP-Net
Collaborative Audio Enhancement
Publication
Prospective Members
QuickFacts
