Tag Archives : music information retrieval

Rhythm CHM February 2, 2020

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 data fusion model October 25, 2017

[Published paper] The Moodo dataset: Integrating user context with emotional and color perception of music for affective music information retrieval

By

My colleagues and I have recently published a new scientific paper which presents the Moodo dataset and performs a detailed analysis of the multimodal data. The dataset includes user background data along with music preferences and music knowhow. In an attempt to show the future development of the recommender systems in general, we have applied a data fusion model which models…

Read More »
Moodo Visualization January 14, 2017

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 January 11, 2017

[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 »
LGM Website November 2, 2016

Laboratory for computer graphics and multimedia has a new website

By

We are proud to present a new website of our beloved Laboratory. Visit the website! 🙂 Although we all loved (the status quo of) our previous website, it’s been the same for almost 10 years. The new website (found at http://musiclab.si and http://lgm.fri.uni-lj.si) is now finally up-to-date with our newest projects, publications and research interests. You’re welcome to visit, if not for…

Read More »
Oblačna rešitev ReverSing June 11, 2016

ReverSing – zmagovalni študentski projekt – Dnevi Slovenske Informatike 2016

By

Na Dnevih Slovenske Informatike sva z Luko Zakrajškom predstavljala študentski projekt ReverSing, ki je spletna rešitev za transkripcijo glasbe. Z veseljem sporočava, da bo ReverSing v naslednjih tednih prešel v javno beta fazo. Za tiste, ki vas rešitev zanima, sledi daljši opis projekta, ki je v obliki letaka na voljo tudi tukaj: ReverSing opis projekta. Problem Glasbeniki, učitelji glasbe in glasbeni navdušenci…

Read More »
Friction Drum - Lončeni Bas September 21, 2015

MusicTechFest – Friction Drum

By

On Saturday Karmen and Miha presented the electric version of the Friction Drum instrument (a folk instrument well known in Slovenija, as well as other parts of the world) at Music Tech Fest in Ljubljana. The presentation was awesome, as well as the demo of them playing. I managed to make a few pics with my mobile phone (thus, the quality) and a…

Read More »
Music Tech Fest September 18, 2015

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 »