In this survey article, we give an overview of methods for music similarity estimation and
music recommendation based on music context data. Unlike approaches that rely on music …

A decade has passed since the first review of research on a 'flagship application'of music
information retrieval (MIR): the problem of music genre recognition (MGR). During this time …

Music genres allow to categorize musical items that share common characteristics. Although
these categories are not mutually exclusive, most related research is traditionally focused on …

This research examines the role lyric text can play in improving audio music mood
classification. A new method is proposed to build a large ground truth set of 5,585 songs and …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

Our study investigates the presence of verbal objectification in Rap, Country, Adult
Contemporary, Rock, Rhythm & Blues (R&B)/Hip-Hop, and Pop music lyrics through a …

Music genre classification is one of the sub-disciplines of music information retrieval (MIR)
with growing popularity among researchers, mainly due to the already open challenges …

Towards improving the performance in various music information processing tasks, recent
studies exploit different modalities able to capture diverse aspects of music. Such modalities …

We present a novel approach for analysing and classifying lyrics, experimenting both with
ngram models and more sophisticated features that model different dimensions of a song …

This research addresses the role of lyrics in the music emotion recognition process. Our
approach is based on several state of the art features complemented by novel stylistic …