Style transfer of audio effects with differentiable signal processing
We present a framework that can impose the audio effects and production style from one
recording to another by example with the goal of simplifying the audio production process …
recording to another by example with the goal of simplifying the audio production process …
Differentiable signal processing with black-box audio effects
We present a data-driven approach to automate audio signal processing by incorporating
stateful third-party, audio effects as layers within a deep neural network. We then train a …
stateful third-party, audio effects as layers within a deep neural network. We then train a …
Early prediction of breast cancer recurrence for patients treated with neoadjuvant chemotherapy: a transfer learning approach on DCE-MRIs
Simple Summary An early prediction of Breast Cancer Recurrence (BCR) for patients
undergoing neoadjuvant chemotherapy (NACT) could better guide clinicians in the …
undergoing neoadjuvant chemotherapy (NACT) could better guide clinicians in the …
Learning representations by humans, for humans
S Hilgard, N Rosenfeld, MR Banaji… - … on machine learning, 2021 - proceedings.mlr.press
When machine predictors can achieve higher performance than the human decision-makers
they support, improving the performance of human decision-makers is often conflated with …
they support, improving the performance of human decision-makers is often conflated with …
Inversynth: Deep estimation of synthesizer parameter configurations from audio signals
O Barkan, D Tsiris, O Katz… - IEEE/ACM Transactions …, 2019 - ieeexplore.ieee.org
Sound synthesis is a complex field that requires domain expertise. Manual tuning of
synthesizer parameters to match a specific sound can be an exhaustive task, even for …
synthesizer parameters to match a specific sound can be an exhaustive task, even for …
Unknown-box approximation to improve optical character recognition performance
Optical character recognition (OCR) is a widely used pattern recognition application in
numerous domains. There are several feature-rich, general-purpose OCR solutions …
numerous domains. There are several feature-rich, general-purpose OCR solutions …
An investigation into neural arithmetic logic modules
B Mistry - 2023 - eprints.soton.ac.uk
The human ability to learn and reuse skills in a systematic manner is critical to our daily
routines. For example, having the skills for executing the basic arithmetic operations …
routines. For example, having the skills for executing the basic arithmetic operations …
A primer for neural arithmetic logic modules
Neural Arithmetic Logic Modules have become a growing area of interest, though remain a
niche field. These modules are neural networks which aim to achieve systematic …
niche field. These modules are neural networks which aim to achieve systematic …
Document Image Cleaning using Budget-Aware Black-Box Approximation
Recent work has shown that by approximating the behaviour of a non-differentiable black-
box function using a neural network, the black-box can be integrated into a differentiable …
box function using a neural network, the black-box can be integrated into a differentiable …
Stealing black-box functionality using the deep neural tree architecture
D Teitelman, I Naeh, S Mannor - arXiv preprint arXiv:2002.09864, 2020 - arxiv.org
This paper makes a substantial step towards cloning the functionality of black-box models by
introducing a Machine learning (ML) architecture named Deep Neural Trees (DNTs). This …
introducing a Machine learning (ML) architecture named Deep Neural Trees (DNTs). This …