Music generation through deep learning

Mon, 03 Oct 2022 00:00:00 +0000

On November 3 and 4, as part of the Computer Science Doctoral Program at the University of Almería, Roberto Rodríguez Echeverría, University of Extremadura, delivered the course Content and/or recognizable pattern generation through neural networks, with the participation of Jorge Periánez Pascual, MetrikaMedia.

“It has been a while since relying on artificial intelligence to help us in our daily work stopped being a dream and became a reality. On a daily basis we use machine learning models to suggest the next words we type on our phones, to give just one example. What we never would have imagined is that these artificial intelligences would help us create creative content such as code for our programs, images following textual descriptions or, as we explain in this seminar, music,” commented UEx Associate Professor Roberto Rodríguez Echeverría.

The seminar content was as follows:

Introduction to deep learning
Recurrent Networks and Transformers
Content Generation
Image Generation with Variational Autoencoders
Music generation with LSTM and Transformers

This and other seminars are the result of collaboration between industry and University. From i3lab, one of the working groups of Quercus Software Engineering Group, we are committed to training new engineers in subjects such as artificial intelligence and everything related to it, such as MLOps. Interested? Get in touch with us and let’s talk.

Content Generation | INTIA

Music generation through deep learning