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Modeling Analog Dynamic Range Compressors using Deep Learning and
  State-space Models

Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models

24 March 2024
Hanzhi Yin
Gang Cheng
Christian J. Steinmetz
Ruibin Yuan
Richard M. Stern
Roger B. Dannenberg
ArXiv (abs)PDFHTML

Papers citing "Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models"

6 / 6 papers shown
Title
Diagonal State Spaces are as Effective as Structured State Spaces
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta
Albert Gu
Jonathan Berant
119
311
0
27 Mar 2022
Efficient neural networks for real-time modeling of analog dynamic range
  compression
Efficient neural networks for real-time modeling of analog dynamic range compression
C. Steinmetz
Joshua D. Reiss
66
27
0
11 Feb 2021
DDSP: Differentiable Digital Signal Processing
DDSP: Differentiable Digital Signal Processing
Jesse Engel
Lamtharn Hantrakul
Chenjie Gu
Adam Roberts
DiffM
175
381
0
14 Jan 2020
Parallel WaveGAN: A fast waveform generation model based on generative
  adversarial networks with multi-resolution spectrogram
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Ryuichi Yamamoto
Eunwoo Song
Jae-Min Kim
60
818
0
25 Oct 2019
Deep Learning for Tube Amplifier Emulation
Deep Learning for Tube Amplifier Emulation
Eero-Pekka Damskägg
Lauri Juvela
Etienne Thuillier
Vesa Valimaki
35
60
0
01 Nov 2018
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
361
2,233
0
22 Sep 2017
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