On Neural Architectures for Deep Learning-based Source Separation of
Co-Channel OFDM Signals

On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals

11 March 2023

Yury Polyanskiy

Papers citing "On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals"

9 / 9 papers shown

Title
RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge A. Lancho Amir Weiss Gary C. F. Lee T. Jayashankar Binoy G. Kurien Yury Polyanskiy Gregory W. Wornell 67 0 0 13 Sep 2024
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation Gary C. F. Lee Amir Weiss A. Lancho Jennifer Tang Yuheng Bu Yury Polyanskiy G. Wornell 42 6 0 22 Aug 2022
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Jing-jing Chen Qi-rong Mao Dong Liu 73 285 0 28 Jul 2020
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation Efthymios Tzinis Zhepei Wang Paris Smaragdis 77 128 0 14 Jul 2020
Asteroid: the PyTorch-based audio source separation toolkit for researchers Manuel Pariente Samuele Cornell Joris Cosentino S. Sivasankaran Efthymios Tzinis ... Juan M. Martín-Donas David Ditter Ariel Frank Antoine Deleforge Emmanuel Vincent 56 155 0 08 May 2020
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation Yi Luo Zhuo Chen Takuya Yoshioka AI4TS 61 767 0 14 Oct 2019
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 127 1,772 0 20 Sep 2018
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 119 595 0 08 Jun 2018
Supervised Speech Separation Based on Deep Learning: An Overview DeLiang Wang Jitong Chen SSL 57 1,359 0 24 Aug 2017