jordipons/DRNN4ASS

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Rank 750,836 (Top 15 %)
Language
MATLAB
Created over 9 years ago
Updated over 9 years ago

jordipons/DRNN4ASS

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Deep Recurrent Neural Network for Audio Source Separation

musicnn

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

Jupyter Notebook

music-audio-tagging-at-scale-models

Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"

sklearn-audio-transfer-learning

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

neural-classifiers-with-few-audio

Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274

musicnn-training

Tensorflow code for training deep convolutional neural networks for music audio tagging

EUSIPCO2017

Music auto-tagging experiments for the paper entitled "Timbre Analysis of Music Audio Signals with Convolutional Neural Networks".

elmarc

Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.

ICASSP2017

Designing efficient architectures for modeling temporal features with convolutional neural networks

CBMI2016

Experimenting with musically motivated convolutional neural networks

AudioSetOntologyTree

Tree visualization of the AudioSet Ontology - https://github.com/audioset/ontology

ChordProfiles

A Matlab function that provides a SIMPLE framework where ALL the binary chord profiles are properly defined.