Browsing Category : Music Information Retrieval

Chinese and European songs December 26, 2020

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 »
Student motivation December 26, 2020

Extending the Troubadour platform: Motivating students for ear-training with a rhythmic dictation application

By

A month ago we published our second paper on the development and evaluation of the Troubadour platform. We developed a rhythmic dictation application and published ISMIR conference paper and a journal paper (both available below in full-text form). ISMIR Paper: The Rhythmic Dictator: Does Gamification of Rhythm Dictation Exercises Help?: https://program.ismir2020.net/poster_4-04.html ABSTRACT: We present the development and evaluation of a…

Read More »
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 »
Compositional hierarchical model for music information retrieval - PhD Cover October 2, 2018

PhD completed – Compositional hierarchical model for music information retrieval

By

Finally, the 6-years long PhD phase is completed. The doctoral dissertation titled ‘Compositional hierarchical model for music information retireval’ and the PowerPoint presentation are also available online on this link: https://www.researchgate.net/project/Compositional-Hierarchical-Model-an-alternative-white-box-deep-architecture Special thanks goes to my advisors Matija Marolt and Ales Leonardis. There are still several open topics in this research and the project will therefore remain in the list of my research…

Read More »
SymCHM - the compositional hierarchical model for symbolic music representations November 5, 2017

[Published paper] SymCHM—An Unsupervised Approach for Pattern Discovery in Symbolic Music with a Compositional Hierarchical Model

By

We are thrilled that a new paper on the Compositional Hierarchical Model has just been published. The paper describes a modified version of the model, SymCHM, capable of working with symbolic music representations. The paper describes the work done during the last year of the model development for the pattern discovery task. The paper publicly available here: http://www.mdpi.com/2076-3417/7/11/1135 We are also…

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 »
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 »