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Denoising Auto-encoder with Recurrent Skip Connections and Residual
  Regression for Music Source Separation

Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation

5 July 2018
Jen-Yu Liu
Yi-Hsuan Yang
ArXivPDFHTML

Papers citing "Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation"

6 / 6 papers shown
Title
Unsupervised Source Separation via Bayesian Inference in the Latent
  Domain
Unsupervised Source Separation via Bayesian Inference in the Latent Domain
Michele Mancusi
Emilian Postolache
Giorgio Mariani
Marco Fumero
Andrea Santilli
Luca Cosmo
Emanuele Rodolà
BDL
27
1
0
11 Oct 2021
CatNet: music source separation system with mix-audio augmentation
CatNet: music source separation system with mix-audio augmentation
Xuchen Song
Qiuqiang Kong
Xingjian Du
Yuxuan Wang
31
10
0
19 Feb 2021
Meta-learning Extractors for Music Source Separation
Meta-learning Extractors for Music Source Separation
David Samuel
Aditya Ganeshan
Jason Naradowsky
27
60
0
17 Feb 2020
Addressing the confounds of accompaniments in singer identification
Addressing the confounds of accompaniments in singer identification
Tsung-Han Hsieh
Kai-Hsiang Cheng
Zhe-Cheng Fan
Yu-Ching Yang
Yi-Hsuan Yang
14
17
0
17 Feb 2020
Demucs: Deep Extractor for Music Sources with extra unlabeled data
  remixed
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
Alexandre Défossez
Nicolas Usunier
Léon Bottou
Francis R. Bach
25
84
0
03 Sep 2019
Audio query-based music source separation
Audio query-based music source separation
Jie Hwan Lee
Hyeong-Seok Choi
Kyogu Lee
28
44
0
19 Aug 2019
1