Blog(2)
Speech enhancement or noise suppression aims at improving the quality and intelligibility of noisy speech. It is an important frontend module for voice call, automatic speech recognition (ASR), and hearing aids system.
I have a challenge: I am going to show you a very noisy image. Would you be able to recognize its content confidently? No? Neither can AI models. Like humans, they find it challenging to understand the content of corrupted images and, sadly, they tend to be much more sensitive to the problem than we are.
Research Areas(0)
Publications(30)
Massive MIMO Evolution Towards 3GPP Release 18
AuthorGilwon Lee,Emad Farag,Dalin Zhu,Eko Onggosanusi
PublishedIEEE Journal on Selected Areas in Communications
Date2023-10-19
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability
AuthorChouchang Yang,Yashas Malur Saidutta,Rakshith Srinivasa,Chinghua Lee,Yilin Shen,Hongxia Jin
PublishedAnnual Conference of the International Speech Communication Association (INTERSPEECH)
Date2023-08-21
Snapshot Matching Masking for Improved PSD Estimation in Mask-Based Neural Beamforming for Multichannel Speech Enhancement
AuthorChinghua Lee,Chouchang Yang,Yilin Shen,Hongxia Jin
PublishedInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date2023-06-04
News(8)
The New Trends in Image Restoration and Enhancement (NTIRE 2024) workshop and associated challenges and Mobile Intelligent Photography & Imaging (MIPI 2024) are international competitions held in conjunction with the Computer Vision and Pattern Recognition Conference (CVPR 2024).
Bixby, Samsung’s voice assistant, is constantly becoming better and better!
Others(0)