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Found 6 papers, 1 papers with code
Noise Morphing for Audio Time Stretching
This letter introduces an innovative method to enhance the quality of audio time stretching by precisely decomposing a sound into sines, transients, and noise and by improving the processing of the latter component.
Neural modeling of magnetic tape recorders
The sound of magnetic recording media, such as open-reel and cassette tape recorders, is still sought after by today's sound practitioners due to the imperfections embedded in the physics of the magnetic recording process.
Extreme Audio Time Stretching Using Neural Synthesis
A deep neural network solution for time-scale modification (TSM) focused on large stretching factors is proposed, targeting environmental sounds.
Adversarial Guitar Amplifier Modelling With Unpaired Data
We propose an audio effects processing framework that learns to emulate a target electric guitar tone from a recording.
Virtual Analog Modeling of Distortion Circuits Using Neural Ordinary Differential Equations
Recent research in deep learning has shown that neural networks can learn differential equations governing dynamical systems.
Perceptual Loss Function for Neural Modelling of Audio Systems
This work investigates alternate pre-emphasis filters used as part of the loss function during neural network training for nonlinear audio processing.
