First workshop on deep learning and music in Anchorage (Proceedings available online)

This week (May 18-19th), I co-organized the workshop on deep learning for music with Prof. Ching-Hua Chuan in Anchorage, Alaska. The workshop was part of the International Joint Conference on Neural Networks (IJCNN) and featured invited speakers from Google Brain, A*STAR and Pandora.

Over 50 people participated in the workshop and there were some really interesting discussions on this exciting new field. The full Proceedings can be found online, and include:

D. Herremans and C.H. Chuan. 2017. Modeling Musical Context Using Word2vec. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 11-18. Download pdf

H.V. Koops, W.B. de Haas, J. Bransen and A. Volk. 2017. Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 19-25. Download pdf

P. Hutchings. 2017. Talking Drums: Generating Drum Grooves With Neural Networks. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 43-47. Download pdf

S. Geng, G. Ren, and M. Ogihara. 2017. Transforming Musical Signals through a Genre Classifying Convolutional Neural Network. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 48-49. Download pdf

Z.C. Fan, T.S. Chan, Y.H. Yang, and J.S. R. Jang. 2017. Music Signal Processing Using Vector Product Neural Networks. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 26-30. Download pdf

C.E. Cella. 2017. Machine listening intelligence. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 50-55. Download pdf

A. Pfalz, and E. Berdahl. 2017. Toward Inverse Control of Physics-Based Sound Synthesis. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 56-61. Download pdf

A. Bazzica, J.C. van Gemert, C.C.S. Liem, and A. Hanjalic. 2017. Vision-based Detection of Acoustic Timed Events: a Case Study on Clarinet Note Onsets. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 31-36. Download pdf

L. Wyse. 2017. Audio Spectrogram Representations for Processing with Convolutional Neural Networks. Proceedings of the First International Workshop on Deep Learning and Music joint with IJCNN. Anchorage, US. May, 2017. 1(1). pp 37-41. Download pdf