Music segmentation is a key issue in music information retrieval (MIR) as it provides an insight into the internal structure of a composition. Structural information about a composition can improve several tasks related to MIR such as searching and browsing large music collections, visualizing musical structure, lyric alignment, and music summarization. The authors of this paper present the MTS...

The paper presents the findings of a qualitative study on the way young adults make relevance inferences about music items when searching for music for recreational purposes. Data were collected through in-depth interviews and analyzed following the constant comparative method. Content analysis revealed that participants used four types of clues to make relevance inferences: bibliographic metad...

Ren Gang, Xuchen Yang, Zhe Wen, Dave Headlam, Mark F. Bocko Dept. of Electrical and Computer Engineering, Edmund A. Hajim School of Engineering and Applied Sciences, Univ. of Rochester Dept. of Music Theory, Eastman School of Music, Univ. of Rochester Rochester, NY 14627, USA [email protected], [email protected],[email protected],[email protected], [email protected]...

Content-based music retrieval requires to define a similarity measure between music documents. In this paper, we propose a novel similarity measure between melodic content, as represented in symbolic notation, that takes into account musicological aspects on the structural function of the melodic elements. The approach is based on the representation of a collection of music scores with a graph ...

BACKGROUND Emotion regulation (ER) is an internal process through which a person maintains a comfortable state of arousal by modulating one or more aspects of emotion. The neural correlates underlying ER suggest an interplay between cognitive control areas and areas involved in emotional reactivity. Although some studies have suggested that music may be a useful tool in ER, few studies have exa...

We introduce a novel playlist generation algorithm that focuses on the quality of transitions using a recurrent neural network (RNN). The proposed model assumes that optimal transitions between tracks can be modelled and predicted by internal transitions within music tracks. We introduce modelling sequences of high-level music descriptors using RNNs and discuss an experiment involving different...

Background in history of music. In music history it is often considered important to have a reliable overview of the oeuvre of a certain composer. Unfortunately many pieces exist of which the composer cannot be determined with great certainty. Not rarely this leads to authorship-discussions. Various kinds of evidence are used to defend an attribution. These can be categorized into external and ...