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 …

In this paper, we introduce new methods and discuss results of text-based LSTM (Long
Short-Term Memory) networks for automatic music composition. The proposed network is …

The task of identifying emotions from a given music track has been an active pursuit in the
Music Information Retrieval (MIR) community for years. Music emotion recognition has …

Misogyny is a serious social problem that affects the mental and physical health of women
and can even lead to femicide. This problem is visible and prevalent in different …

We present the WASABI Song Corpus, a large corpus of songs enriched with metadata
extracted from music databases on the Web, and resulting from the processing of song lyrics …

Composers of popular music weave lyrics, melody, and instrumentation together to create a
consistent and compelling emotional scene. The relationships among these elements are …

This paper describes experimental research investigating the genre classification utility of
combining features extracted from lyrical, audio, symbolic and cultural sources of musical …

This paper presents a lyrics retrieval system called LyricsRadar that enables users to
interactively browse song lyrics by visualizing their topics. Since conventional lyrics retrieval …

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 …

Imperfect and internal rhymes are two important features in rap music previously ignored in
the music information retrieval literature. We developed a method of scoring potential …