5 citations · 10 across the 4 of their papers we have counts for
4 papers
A framework to compare music generative models using automatic evaluation metrics extended to rhythm
Sebastian Garcia-Valencia, Alejandro Betancourt, Juan G. Lalinde-Pulido
To train a machine learning model is necessary to take numerous decisions about many options for each process involved, in the field of sequence generation and more specifically of…
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music
Sebastian Garcia-Valencia, Alejandro Betancourt, Juan G. Lalinde-Pulido
Automatic generation of sequences has been a highly explored field in the last years. In particular, natural language processing and automatic music composition have gained importa…
Cross entropy as objective function for music generative models
Sebastian Garcia-Valencia
The election of the function to optimize when training a machine learning model is very important since this is which lets the model learn. It is not trivial since there are many o…
Embeddings as representation for symbolic music
Sebastian Garcia-Valencia
A representation technique that allows encoding music in a way that contains musical meaning would improve the results of any model trained for computer music tasks like generation…