no code implementations • 3 Jun 2020 • Katy Börner, Olga Scrivner, Leonard E. Cross, Michael Gallant, Shutian Ma, Adam S. Martin, Elizabeth Record, Haici Yang, Jonathan M. Dilger
Understanding the emergence, co-evolution, and convergence of science and technology (S&T) areas offers competitive intelligence for researchers, managers, policy makers, and others.
no code implementations • 28 Jul 2021 • Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
In this work, we learn to remix music directly by re-purposing Conv-TasNet, a well-known source separation model, into two neural remixing architectures.
no code implementations • 22 Mar 2022 • Haici Yang, Sanna Wager, Spencer Russell, Mike Luo, Minje Kim, Wontak Kim
In the stereo-to-multichannel upmixing problem for music, one of the main tasks is to set the directionality of the instrument sources in the multichannel rendering results.
no code implementations • 4 Nov 2022 • Haici Yang, Wootaek Lim, Minje Kim
Low and ultra-low-bitrate neural speech coding achieves unprecedented coding gain by generating speech signals from compact speech features.
no code implementations • 14 Nov 2023 • Haici Yang, Inseon Jang, Minje Kim
In low-bitrate speech coding, end-to-end speech coding networks aim to learn compact yet expressive features and a powerful decoder in a single network.
1 code implementation • 14 Feb 2020 • Sunwoo Kim, Haici Yang, Minje Kim
Speech enhancement tasks have seen significant improvements with the advance of deep learning technology, but with the cost of increased computational complexity.