Blog(3)
Voice has played a vital role in our daily communications with family, friends and colleagues, as well as in interactions with our intelligent devices.
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.
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Publications(41)
On the Importance of a Multi-Scale Calibration for Quantization
AuthorIngyu Seong, Hyemi Jang, Yongkweon Jeon
PublishedIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date2026-05-04
DRLCQ: Deep Reinforcement Learning based Call Quality Enhancement in O-RAN
AuthorSukhdeep Singh, Swaraj Kumar, Ashish Jain, Madhan Raj Kanagarathinam, Neelmani Jha, Moonki Hong
PublishedIEEE Global Communications Conference
Date2026-03-19
Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Framework
AuthorChinghua Lee, Chouchang Yang, Yashas Malur Saidutta, Retiree, Yilin Shen, Hongxia Jin
PublishedInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date2024-12-21
News(15)
Introduce a lightweight hybrid dual-channel speech enhancement system that combines IVA with a modified dual-channel GTCRN to achieve effective speech enhancement in low-SNR conditions.
The evolution of 6G technology marks a transformative shift in telecommunications, moving beyond mere enhancements in capacity and throughput to address fundamental requirements such as vertical integration, global connectivity, and intelligent networks.
The New Trends in Image Restoration and Enhancement (NTIRE 2025) workshop, held alongside the Computer Vision and Pattern Recognition Conference (CVPR 2025), served as a key venue for sharing the latest advances in image processing and restoration.
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