The design of meaningful audio features is a key need to advance the state-of-the-art in
music emotion recognition (MER). This article presents a survey on the existing emotionally …

Subjective complexity has been found to be related to hedonic measures of preference,
pleasantness and beauty, but there is no consensus about the nature of this relationship in …

Understanding music popularity is important not only for the artists who create and perform
music but also for the music-related industry. It has not been studied well how music …

Recently, we demonstrated complexity as a major factor for explaining individual differences
in visual preferences for abstract digital art. We have shown that participants could best be …

This book provides a comprehensive overview of music data analysis, from introductory
material to advanced concepts. It covers various applications including transcription and …

The appreciation of dance, film, and other temporal art forms relies on the continuous
integration of auditory and visual streams. In this study, we investigate how bimodal …

Composing musical ideas longer than motifs or figures is still rare in music generated by
machine learning methods, a problem that is commonly referred to as the lack of long-term …

AMUSE (Advanced MUSic Explorer) was created 2006 as an open-source Java framework
for various music information retrieval tasks like feature extraction, feature processing …

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 …

We propose a set of novel audio features for classifying the style of classical music. The
features rely on statistical measures based on a chroma feature representation of the audio …