This article presents a multimodal dataset comprising various representations and
annotations of Franz Schubert's song cycle Winterreise. Schubert's seminal work constitutes …

Many approaches to analyzing the structure of a musical recording involve detecting
sequential patterns within a selfsimilarity matrix derived from time-series features. Such …

There is growing evidence for the efficacy of music, specifically Mozart's Sonata for Two
Pianos in D Major (K448), at reducing ictal and interictal epileptiform activity. Nonetheless …

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

This paper presents a new multimodal dataset Moodo that can aid the development of
affective music information retrieval systems. Moodo's main novelties are a multimodal …

This paper describes a statistical music structure analysis method that splits an audio signal
of popular music into musically meaningful sections at the beat level and classifies them into …

Music segmentation is the task of automatically identifying the different segments of a piece.
In this work we present a novel approach to cluster the musical segments based on their …

Music segmentation algorithms identify the structure of a music recording by automatically
dividing it into sections and determining which sections repeat and when. Since the desired …

We describe a novel pipeline to automatically discover hierarchies of repeated sections in
musical audio. The proposed method uses similarity network fusion (SNF) to combine …

This paper addresses the novel task of detecting chorus sections in English and Japanese
lyrics text. Although chorus-section detection using audio signals has been studied, whether …