Blogs
Using Machine Learning in Music DSP
The field of music DSP is a passionate world where converge many areas like physics, math, engineering, music and computer science. The technics can be used in music information retrieval to make really interesting applications. Besides, the last years we have seen a massive interest in general for machine learning ... [Read more]
Generation of Symbolic Music with a Probabilistic Generator
A particular kind of machine learning model with the capacity to generate information is known as a generative model. There are many variations, but all they focus on learning patterns in a dataset to then produce data with a given seed. In this case, I will use a very simple generative probabilistic model called n-gram to generate midi sequences of music ... [Read more]
The convergence of science and art
Artistic creation has been always considered exclusive to humans. Regardless if it is composing a piece of music, writing a poem, make a sculpture, painting a picture or imagining the story of a film; when one think about it, what comes to the mind are activities that require a cognitive power, that only people have, and that can only ... [Read more]
Medellin in artistic styles (Transfer style with deep learning)
I was experimenting and playing a little bit with neural networks and got some interesting outputs using transfer style with some famous artworks and a beautiful image of my city ... [Read more]