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Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"
A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
Tensorflow code for training deep convolutional neural networks for music audio tagging
Deep Recurrent Neural Network for Audio Source Separation
A neural network for end-to-end music source separation
Music auto-tagging experiments for the paper entitled "Timbre Analysis of Music Audio Signals with Convolutional Neural Networks".
Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.
Tree visualization of the AudioSet Ontology - https://github.com/audioset/ontology
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