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Raw Multi-Channel Audio Source Separation using Multi-Resolution
  Convolutional Auto-Encoders

Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders

2 March 2018
Emad M. Grais
D. Ward
Mark D. Plumbley
ArXivPDFHTML

Papers citing "Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders"

5 / 5 papers shown
Title
Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice
  Separation
Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation
Weitao Yuan
Bofei Dong
Shengbei Wang
M. Unoki
Wenwu Wang
22
12
0
03 Aug 2020
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement
Cheng Yu
Kuo-Hsuan Hung
Syu-Siang Wang
Szu-Wei Fu
Yu Tsao
J. Hung
29
33
0
22 Nov 2019
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully
  Convolutional Networks
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks
Changle Liu
Sze-Wei Fu
You-Jin Li
Jen-Wei Huang
Hsin-Min Wang
Yu Tsao
30
50
0
26 Sep 2019
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores
  Optimization for Speech Enhancement
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu
Chien-Feng Liao
Yu Tsao
Shou-De Lin
19
326
0
13 May 2019
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
589
0
08 Jun 2018
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