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Deep learning techniques have accomplished a big step forward on speech separation task. The current leading methods are based on the time-domain audio separation network (TasNet) [1]. TasNet uses a learnable encoder and decoder to replace the fixed T-F domain transformation. It takes waveform inputs and directly reconstructs sources, and computes time-domain loss with utterance-level permutation invariant training (uPIT). Several approaches are proposed based on TasNet framework, such as the Conv-TasNet [2] , the dual-path recurrent neural network (DPRNN) [3], the dual-path Transformer network (DPTNet) [4], RNN-free transformer-based neural network (SepFormer) [5] , a self-attentive network with a novel sandglass-shape, namely Sandglasset [6].
Let’s play a simple game. Open the photo gallery on your phone and briefly scroll your images, do you see some patterns and recognize the objects you like on the images?
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Publications(286)
On Optimization of Next-Generation Microservice-Based Core Networks
AuthorAndrea Tassi, Daniel Warren, Yue Wang, Deval Bhamare, Rasoul Behravesh
PublishedIEEE Transactions on Vehicular Technology
Date2024-01-17
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
AuthorRetiree,Shangqian Gao,Yen-Chang Hsu,Yilin Shen,Hongxia Jin
PublishedIEEE Winter Conference on Applications of Computer Vision (WACV)
Date2024-01-03
Efficient Layout-Guided Image Inpainting for Mobile Use
AuthorWenbo Li,Yi Wei,Yilin Shen,Hongxia Jin
News(36)
Juho Lee, a fellow at Samsung Electronics’ advanced R&D hub Samsung Research (SR), received a Career Award for his outstanding leadership and technical contributions in standardization of wireless communication from the Institute of Electrical and Electronics Engineers (IEEE) — the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.
Samsung Electronics today announced that Dr. Hamid Sheikh of Samsung Research America (SRA) and Dr. Sven Dickinson of the Samsung AI Center (SAIC) in Toronto have both been named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization.
Samsung R&D Institute China-Beijing (SRC-B) published three papers recently accepted by the 97th Institute of Electrical and Electronics Engineers (IEEE) Vehicular Technology Conference: VTC2023-Spring, to be held in Florence from June 20 to 23, 2023.
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