Deep Noise Suppression Challenge: ICASSP 2022

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Deep Noise Suppression Challenge: ICASSP 2022

2022

Associated SPS Event: IEEE ICASSP 2022 Grand Challenge

Noise suppression has become more important than ever before due to the increasing use of voice interfaces for various applications. Given the millions of internet-connected devices being employed for audio/video calls, noise suppression is expected to be effective for all noise types chosen from daily-life scenarios. The IEEE ICASSP 2022 Grand Challenge is the 4th DNS challenge intended to promote industry-academia collaboration on research in real-time noise suppression aimed to maximize the subjective (perceptual) quality of enhanced speech. This challenge will extend DNS efforts to full band speech with a special focus on personalized denoising. In the era of hybrid work, personalized denoising is very important to suppress neighboring speaker and/or background noises. Recently, DNS research has been moving fast, and researchers now have state-of-the-art advancements in deep neural networks (DNNs); currently, deep noise suppression methods leverage the convolutional, recurrent, or hybrid neural network for estimating the enhanced speech from noisy recordings.

Technical Committee: Audio and Acoustic Signal Processing, Speech and Language Processing

SPS on Twitter

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting… https://t.co/NLH2u19a3y
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in… https://t.co/V6Z3wKGK1O
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat… https://t.co/0aYPMDSWDj
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special… https://t.co/NPCGrSjQbh
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:… https://t.co/4xal7voFER

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel