Primary Menu

Skip to content
Menu
  • 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 Students
  • QuickFacts
Header Toggle
Minje Kim's Home

Minje Kim's Home

Innovation and Education in AI and Audio Processing

TwitterLinkedIn
Home »News»2020 IEEE SPS Best Paper Award

2020 IEEE SPS Best Paper Award

Posted onDecember 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.

CategoriesNews

Post navigation

← Previous Previous post: IEEE SPS AASP TC
Next → Next post: EACL 2021

Follow Me

  • LinkedIn
  • X

Search

Visitor Statistics

Copyright © 2024 Minje Kim's Home. All Rights Reserved.
Full Frame by Catch Themes
Scroll Up
  • 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 Students
  • QuickFacts