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Psychoacoustically Motivated Audio Declipping Based on Weighted l1
  Minimization
v1v2 (latest)

Psychoacoustically Motivated Audio Declipping Based on Weighted l1 Minimization

International Conference on Telecommunications and Signal Processing (ICTSP), 2019
2 May 2019
Pavel Záviška
P. Rajmic
J. Schimmel
ArXiv (abs)PDFHTML

Papers citing "Psychoacoustically Motivated Audio Declipping Based on Weighted l1 Minimization"

6 / 6 papers shown
Audio Declipping with (Weighted) Analysis Social Sparsity
Audio Declipping with (Weighted) Analysis Social SparsityInternational Conference on Telecommunications and Signal Processing (ICTSP), 2022
Pavel Záviška
P. Rajmic
200
2
0
20 May 2022
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with
  Sparse Optimization
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with Sparse OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Tomoro Tanaka
Kohei Yatabe
Masahiro Yasuda
Yasuhiro Oikawa
283
10
0
16 Feb 2022
VoiceFixer: Toward General Speech Restoration with Neural Vocoder
VoiceFixer: Toward General Speech Restoration with Neural Vocoder
Haohe Liu
Qiuqiang Kong
Qiao Tian
Yan Zhao
DeLiang Wang
Chuanzeng Huang
Yuxuan Wang
436
84
0
28 Sep 2021
Audio declipping performance enhancement via crossfading
Audio declipping performance enhancement via crossfadingSignal Processing (Signal Process.), 2021
Pavel Záviška
P. Rajmic
Ondřej Mokrý
154
8
0
07 Apr 2021
A survey and an extensive evaluation of popular audio declipping methods
A survey and an extensive evaluation of popular audio declipping methodsIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
Pavel Záviška
P. Rajmic
A. Ozerov
Lucas Rencker
254
49
0
15 Jul 2020
Flexible framework for audio reconstruction
Flexible framework for audio reconstruction
Ondřej Mokrý
P. Rajmic
Pavel Záviška
120
0
0
23 Apr 2020
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