Primary Menu

Skip to content
Menu
SAIGE@IU
  • 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
Header Toggle
SAIGE@IU

SAIGE@IU

Signals and AI Group in Engineering at Indiana University

Facebook Twitter LinkedIn Instagram
Home »News»Haici Yang Is Qualified

Haici Yang Is Qualified

Posted onFebruary 20, 2022February 20, 2022Authorminje

Haici passed her qualifying exam. Congratulations!

CategoriesNews

Post navigation

← Previous Previous post: Seven ICASSP 2022 Papers
Next → Next post: David Badger Proposed His Dissertation

Visitor Statistics

Search

Follow Us

Facebook Twitter LinkedIn Instagram
Copyright © 2023 SAIGE@IU. All Rights Reserved.
Full Frame by Catch Themes
Scroll Up
  • 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