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Blind Source Separation of Single-Channel Mixtures via Multi-Encoder
  Autoencoders

Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders

31 August 2023
Matthew B. Webster
Joonnyong Lee
ArXivPDFHTML

Papers citing "Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders"

3 / 3 papers shown
Title
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
Matthew B. Webster
Dongheon Lee
Joonnyong Lee
27
0
0
12 Apr 2025
Dual-Path Transformer Network: Direct Context-Aware Modeling for
  End-to-End Monaural Speech Separation
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jing-jing Chen
Qi-rong Mao
Dong Liu
62
280
0
28 Jul 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source
  Separation
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller
Sebastian Ewert
S. Dixon
AI4TS
104
588
0
08 Jun 2018
1