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Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio
  Source Separation

Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation

28 October 2017
Emad M. Grais
H. Wierstorf
D. Ward
Mark D. Plumbley
ArXivPDFHTML

Papers citing "Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation"

4 / 4 papers shown
Title
CAT: Causal Audio Transformer for Audio Classification
CAT: Causal Audio Transformer for Audio Classification
Xiaoyu Liu
Hanlin Lu
Jianbo Yuan
Xinyu Li
ViT
24
22
0
14 Mar 2023
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World
  Soundtracks
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks
Darius Petermann
G. Wichern
Zhong-Qiu Wang
Jonathan Le Roux
21
37
0
19 Oct 2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea
  Detection
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Guanhua Ye
Hongzhi Yin
Tong Chen
Hongxu Chen
Li-zhen Cui
Xiangliang Zhang
36
25
0
08 Jan 2021
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics
  Optimization by Fully Convolutional Neural Networks
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Szu-Wei Fu
Tao-Wei Wang
Yu Tsao
Xugang Lu
Hisashi Kawai
15
271
0
12 Sep 2017
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