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Don’t Separate, Learn to Remix: End-to-End Neural Remixing
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Learning to Hash for Source Separation
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Psychoacoustic Loss Functions for Neural Audio Coding
LaDiffCodec: Generative De-Quantization for Neural Speech Codec via Latent Diffusion
Personalized Neural Speech Codec
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Collaborative Audio Enhancement
Scalable and Efficient AI
BLOOM-Net: Scalability Matters
Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion
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Innovation and Education in AI and Audio Processing
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Minje Kim at ICASSP 2018, Calgary, Canada
Minje Kim at ICASSP 2018, Calgary, Canada
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Home
News
Biography
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
LaDiffCodec: Generative De-Quantization for Neural Speech Codec via Latent Diffusion
Personalized Neural Speech Codec
Source-Aware Neural Audio Coding
HARP-Net
Collaborative Audio Enhancement
Scalable and Efficient AI
BLOOM-Net: Scalability Matters
Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion
Publication
Blog
Prospective Members
QuickFacts
