Pinned Repositories
audioFeatures-stemMixing
c4dmpoole
DeepAFx
ICASSP 2021 Paper Submission: 2096 - website:
DL-AFx
Deep Learning for Black-Box Modeling of Audio Effects - website:
dnn-stemMixing
drum-mixing-wave-u-net
A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net - website:
end-to-end-equalization
In order to listen to the audio examples, please go the website:
modeling-nonlinear
Modeling of nonlinear audio effects with end-to-end deep neural networks - website:
modeling-plate-spring-reverb
Modeling plate and spring reverberation using a DSP-informed deep neural network - website:
modeling-time-varying
A general-purpose deep learning approach to model time-varying audio effects - website:
mchijmma's Repositories
mchijmma/DL-AFx
Deep Learning for Black-Box Modeling of Audio Effects - website:
mchijmma/modeling-nonlinear
Modeling of nonlinear audio effects with end-to-end deep neural networks - website:
mchijmma/modeling-plate-spring-reverb
Modeling plate and spring reverberation using a DSP-informed deep neural network - website:
mchijmma/modeling-time-varying
A general-purpose deep learning approach to model time-varying audio effects - website:
mchijmma/DeepAFx
ICASSP 2021 Paper Submission: 2096 - website:
mchijmma/end-to-end-equalization
In order to listen to the audio examples, please go the website:
mchijmma/audioFeatures-stemMixing
mchijmma/dnn-stemMixing
mchijmma/drum-mixing-wave-u-net
A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net - website:
mchijmma/c4dmpoole
mchijmma/FxNorm-automix
FxNorm-Automix - Implementation of automatic music mixing systems. We show how we can use wet music data and repurpose it to train a fully automatic mixing system
mchijmma/kapre
kapre: Keras Audio Preprocessors
mchijmma/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
mchijmma/mdx-submissions21
Music Demixing Challenge Submission Repo
mchijmma/pysox
Python wrapper around sox.
mchijmma/SAFE
mchijmma/test
mchijmma/Wave-U-Net
Implementation of the Wave-U-Net for audio source separation