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Home »News»2020 IEEE SPS Best Paper Award

2020 IEEE SPS Best Paper Award

Posted onDecember 11, 2020December 11, 2020Authorminje

Minje’s paper, “Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation,” was selected for 2020 IEEE SPS Best Paper Award.

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  • Home
  • News
  • People
  • 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