With its origins in Information Retrieval research, a fundamental goal of Music Information
Retrieval (MIR) as a dedicated research field in the year 2000 was to develop technology to …

In this paper we propose lyrics information processing (LIP) as a research field for
technologies focusing on lyrics text, which has both linguistic and musical characteristics …

Each artist has their own taste for topics of lyrics such as “love” and “friendship.” Considering
such artist's taste brings new applications in music information retrieval: choosing an artist …

This study explores the association between music preferences and moral values by
applying text analysis techniques to lyrics. Harvesting data from a Facebook-hosted …

We present a study of Tip-of-the-tongue (ToT) retrieval for music, where a searcher is trying
to find an existing music entity, but is unable to succeed as they cannot accurately recall …

Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced
knowledge platforms such as Genius. can help in this process through user-annotated …

The contextual background of a user is one of the important criteria when deciding what
music to listen to. In this paper, we propose a novel method to embed the user context for …

Presently, millions of music tracks are available on the web. Therefore, a music
recommendation system can be helpful to filter and organize music tracks according to the …

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 …

Providing means to assist the user in finding music is one of the original motivations
underlying the research field known as Music Information Retrieval (MIR). Therefore, already …