Tag Archives : compositional hierarchical model

Chinese and European songs

A Comparison of Human and Computational Melody Prediction Through Familiarity and Expertise

By

In early December, we published a new paper in Frontiers in Psychology, dealing with the human melody prediction—specifically a comparison between musicians and non-musicians—and comparing it to machine predictors. A full paper is available here: https://www.frontiersin.org/articles/10.3389/fpsyg.2020.557398/full ABSTRACT: Melody prediction is an important aspect of music listening. The success of prediction, i.e., whether the next note played in a song is…

Read More »
Rhythm CHM

Compositional hierarchical model for rhythmic pattern analysis

By

We recently published another paper on the compositional hierarchical model. In an attempt to further generalise the model, we adjusted and applied it to rhythmic input. The model showed promising results; while it was trained unsupervisedly, it identified basic rhythmic patterns. Moreover, it adjusted to live music (live performance) where it unsupervisedly discriminated between different meters. Quite awesome! The full…

Read More »
Moodo Visualization

Moodo dataset – Mood, Colors and Music in Music Information Retrieval (2013 – today)

By

Since 2013, I have also been involved in a study trying to determine whether there is a distinctive interrelationship between user’s mood, their perception of colors and their influence on the perception of music, especially in terms of the perceived and induced emotions. We published several conference papers including a paper at ISMIR 2014. Along with the study, we gathered a significant…

Read More »
Compositional hierarchical model

[Published paper] A different white-box deep architecture? Is it possible?

By

I recently published a paper more thoroughly explaining what I have been developing as a part of my PhD research at the Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science. The paper describes an alternative deep architecture. Those of you who are involved in recent machine learning research probably know neural-network-based deep architectures, which recently gained…

Read More »
Music Tech Fest

MusicTechFest – Compositional hierarchical model

By

Today, Manca, Luka and I presented the Compositional hierarchical model at the Music of Science session at Music Tech Fest in Ljubljana. As a part of his undergraduate degree, Luka built an awesome transcription editor which uses the CHM as classifier. It will probably never reach version 1.0 since the “ideas” stack grows exponentially. However, we are planning on providing a freeware…

Read More »