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08/30/2023
General Purpose Audio Effect Removal
Although the design and application of audio effects is well understood,...
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07/10/2023
Vocal Tract Area Estimation by Gradient Descent
Articulatory features can provide interpretable and flexible controls fo...
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05/22/2023
Modulation Extraction for LFO-driven Audio Effects
Low frequency oscillator (LFO) driven audio effects such as phaser, flan...
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07/18/2022
Style Transfer of Audio Effects with Differentiable Signal Processing
We present a framework that can impose the audio effects and production ...
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12/06/2021
Steerable discovery of neural audio effects
Applications of deep learning for audio effects often focus on modeling ...
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10/07/2021
Direct design of biquad filter cascades with deep learning by sampling random polynomials
Designing infinite impulse response filters to match an arbitrary magnit...
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10/04/2021
WaveBeat: End-to-end beat and downbeat tracking in the time domain
Deep learning approaches for beat and downbeat tracking have brought adv...
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02/11/2021
Efficient Neural Networks for Real-time Analog Audio Effect Modeling
Deep learning approaches have demonstrated success in the task of modeli...
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12/06/2020
Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks
Despite the popularity of guitar effects, there is very little existing ...
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10/08/2020
Randomized Overdrive Neural Networks
By processing audio signals in the time-domain with randomly weighted te...
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10/22/2019
Modeling plate and spring reverberation using a DSP-informed deep neural network
Plate and spring reverberators are electromechanical systems first used ...
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05/15/2019
A general-purpose deep learning approach to model time-varying audio effects
Audio processors whose parameters are modified periodically over time ar...
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01/31/2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
A typical audio signal processing pipeline includes multiple disjoint an...
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11/06/2018
Unifying Probabilistic Models for Time-Frequency Analysis
In audio signal processing, probabilistic time-frequency models have man...
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10/15/2018
Modeling of nonlinear audio effects with end-to-end deep neural networks
In the context of music production, distortion effects are mainly used f...
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03/29/2018
An empirical approach to the relationship between emotion and music production quality
In music production, the role of the mix engineer is to take recorded mu...
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03/27/2018
Automatic Minimisation of Masking in Multitrack Audio using Subgroups
The iterative process of masking minimisation when mixing multitrack aud...
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02/02/2018