228 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS9 papers
- McGovern Institute for Brain ResearchUS7 papers
- Center for Art StudiesKR5 papers
- Harvard UniversityUS3 papers
- University of California, BerkeleyUS3 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Cognitive Research (United States)US2 papers
- Intelligent Machines (Sweden)SE2 papers
- Johns Hopkins UniversityUS2 papers
- Mitsubishi Electric (United States)US2 papers
- Moscow Institute of Thermal TechnologyRU2 papers
- New York UniversityUS2 papers
5 papers · 1 filter
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
Zhong-Qiu Wang, Ke Tan, DeLiang Wang
This study investigates phase reconstruction for deep learning based monaural talker-independent speaker separation in the short-time Fourier transform (STFT) domain. The key obser…
Does the brain represent words? An evaluation of brain decoding studies of language understanding
Jon Gauthier, Anna Ivanova
Language decoding studies have identified word representations which can be used to predict brain activity in response to novel words and sentences (Anderson et al., 2016; Pereira…
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang +1
This paper proposes an end-to-end approach for single-channel speaker-independent multi-speaker speech separation, where time-frequency (T-F) masking, the short-time Fourier transf…
Slip Detection with Combined Tactile and Visual Information
Jianhua Li, Siyuan Dong, Edward Adelson
Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community. In this paper, we propose a new method based on deep…
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap +1
In this paper, we propose a deep learning approach for image registration by predicting deformation from image appearance. Since obtaining ground-truth deformation fields for train…