# Sources

The list of website used to gather the proposed materials:

- [Journals](#journals)
- [Conferences](#conferences)
- [Workshops](#workshops)
- [Aggregators](#aggregators)

## Journals

- [Applied Sciences Special Issue on Sound and Music Computing](http://www.mdpi.com/journal/applsci/special_issues/Music_Computing)
- [CMJ](https://www.jstor.org/journal/computermusicj) - Computer Music Journal
- [JCMS](http://jcms.org.uk/) - Journal of Creative Music Systems

## Conferences

- [AAAI](https://aaai.org/Conferences/AAAI-18/) - Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence
- [CSMC](https://csmc2016.wordpress.com/) - Conference on Computer Simulation of Musical Creativity
- [ICASSP](http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000002) - IEEE International Conference on Acoustics, Speech, and Signal Processing
- [ICMC](http://www.computermusic.org/) - International Computer Music Conference
- [ICML](https://2017.icml.cc/) - International Conference on Machine Learning
- [INTERSPEECH](http://www.isca-speech.org/iscaweb/)
- [ISMIR](http://ismir.net/) - International Society for Music Information Retrieval
- [LVA/ICA](http://lva-ica-2017.com/index.php/aim) - International Conference on Latent Variable Analysis and Signal Separation
- [MIREX](http://music-ir.org/mirex/wiki/MIREX_HOME) - Music Information Retrieval Evaluation eXchange
- [RECSYS](https://recsys.acm.org/) - ACM Recommender Systems conference
- [SMC](http://www.smc-conference.org/) - Sound and Music Computing Conference

## Workshops

- [DLRS](http://dlrs-workshop.org/) - Workshop on Deep Learning for Recommender Systems
- [ESI](http://www.univie.ac.at/nuhag-php/event_NEW/make.php?event=esi17&page=program)
- [ML4Audio](https://nips.cc/Conferences/2017/Schedule?showEvent=8790) - Machine Learning for Audio Signal Processing at [NIPS](https://nips.cc/)
- [IWDLM](http://dorienherremans.com/dlm2017/) - International Workshop on Deep Learning for Music

## Aggregators

- [arXiv](https://arxiv.org/) (cs.[AI, CV, IR, LG, MM, NE, SD] and eess.[AS, SP])
- [PaperScape](http://paperscape.org/)
- [Scholar](https://scholar.google.com/scholar?q=neural+network+audio+music)
- [SciRate](https://scirate.com/)