Deep learning methods are recognised as state-of-the-art for many applications of machine
learning. Recently, deep learning methods have emerged as a solution to the task of …

We introduce a method for imposing higher-level structure on generated, polyphonic music.
A Convolutional Restricted Boltzmann Machine (C-RBM) as a generative model is combined …

The study of inter-annotator agreement in musical pattern annotations has gained increased
attention over the past few years. While expert annotations are often taken as the reference …

Borderline personality disorder (BPD) is a serious and complex mental disorder with a
lifetime prevalence of 5.9%, characterized by pervasive difficulties with emotion regulation …

In this research, a system is built that generates bagana music, a traditional lyre from
Ethiopia, based on a first order Markov model. Due to the size of many datasets it is often …

Stylistic composition is a creative musical activity, in which students as well as renowned
composers write according to the style of another composer or period. We describe and …

Three versions of each of two greedy compression algorithms, COSIATEC and
SIATECCompress, were run on the JKU Patterns Development Database. Each algorithm …

Originally formed under the auspices of music information retrieval, the field, which might
now be better described as music informatics research (MIR), continues to evolve in an effort …

General-purpose compression algorithms encode files as dictionaries of substrings with the
positions of these strings' occurrences. We hypothesized that such algorithms could be used …

Research on automatic music generation lacks consideration of the originality of musical
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …