Web interface for exploration of latent and tag spaces in music auto-tagging

Presentat a Machine Learning for Media Discovery Workshop, celebrat dins The 37th International Conference on Machine Learning

[1]  Aren Jansen,et al.  Audio Set: An ontology and human-labeled dataset for audio events , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Xavier Serra,et al.  The MTG-Jamendo Dataset for Automatic Music Tagging , 2019, ICML 2019.

[3]  Xavier Serra,et al.  Essentia: An Audio Analysis Library for Music Information Retrieval , 2013, ISMIR.

[4]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[5]  Thierry Bertin-Mahieux,et al.  The Million Song Dataset , 2011, ISMIR.

[6]  Michael I. Mandel,et al.  Evaluation of Algorithms Using Games: The Case of Music Tagging , 2009, ISMIR.

[7]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[8]  Mark B. Sandler,et al.  Automatic Tagging Using Deep Convolutional Neural Networks , 2016, ISMIR.

[9]  Yi-Hsuan Yang,et al.  Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach , 2019, IEEE Signal Processing Magazine.

[10]  Xavier Serra,et al.  Tensorflow Audio Models in Essentia , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[11]  Xavier Serra,et al.  musicnn: Pre-trained convolutional neural networks for music audio tagging , 2019, ArXiv.

[12]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[13]  E. Pampalk Islands of Music Analysis, Organization, and Visualization of Music Archives , 2002 .

[14]  Aren Jansen,et al.  CNN architectures for large-scale audio classification , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).