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    • 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
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      • BLOOM-Net: Scalability Matters
      • Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion
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CV

AD-FlowTSE

Tsun-An Hsieh and Minje Kim, “Adaptive Deterministic Flow Matching for Target Speaker Extraction,” Under Review for Publication at ICASSP 2026

Sound Examples: https://alexiehta.github.io/demo/ad_flowtse/ad_flowtse_demo.html

Github Repo: https://github.com/aleXiehta/AD-FlowTSE

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