Nowadays, machine learning techniques have become critical for decision-making
mechanisms in numerous real-life applications in areas like healthcare, justice …

Manually investigating sheet music collections is challenging for music analysts due to the
magnitude and complexity of underlying features, structures, and contextual information …

Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research
through new terminology for discussing the often many possible approaches to the analysis …

Every type of musical data (audio, symbolic, lyrics, etc.) has its limitations, and cannot
always capture all relevant properties of a particular musical category. In contrast to more …

Music analysis tasks, such as structure identification and modulation detection, are tedious
when performed manually due to the complexity of the common music notation (CMN). Fully …

Nowadays, large volumes of valuable data of different degrees of veracity can be easily
generated or collected at a high velocity from a wide variety of data sources. Embedded in …

Music streaming is inherently sequential in nature, with track sequence information playing a
key role in user satisfaction with recommended music. In this work, we investigate the role …

Characterising Confounding Effects in Music Classification Experiments through Interventions
Page 1 http://www.diva-portal.org This is the published version of a paper published in …

Web services allow permanent access to music from all over the world. Especially in the
case of web services with user-supplied content, eg, YouTube™, the available metadata is …

Korpusbasierte Forschung nimmt in der Sprach-und Literaturwissenschaft schon seit
Langem einen wichtigen Platz ein. In der Musikforschung dagegen gewann sie erst vor …