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Minje Kim's Home
Innovation and Education in AI and Audio Processing
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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
TGIF: A Family-Owned Voice AI
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
Neural Speech and Audio Coding
Audio Coding for Machines
LaDiffCodec: Generative De-Quantization for Neural Speech Codec via Latent Diffusion
To Suppress Hallucination in Generative Neural Speech Codecs
Personalized Neural Speech Codecs
Psychoacoustic Loss Functions for Neural Audio Coding
Cross-Module Residual Learning for Neural Audio Coding
Source-Aware Neural Audio Coding
Collaborative Audio Enhancement
Scalable and Efficient AI
AD-FlowTSE: Adaptive Deterministic Flow Matching for Target Speaker Extraction
BLOOM-Net: Scalability Matters
Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion
Learning to Hash for Source Separation
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Page 5
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Sanna Wager at ICASSP 2019, Brighton, UK
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minje
July 25, 2019
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Sunwoo Kim at ICASSP 2019, Brighton, UK
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minje
July 25, 2019
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Minje Kim at MMAD 2019, Bloomington, IN
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minje
July 25, 2019
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