Retrieving the lyrics of a sung recording from a database of text documents is a research topic that has not received attention so far. Such a retrieval system has many practical applications, e.g. for karaoke applications or for indexing large song databases by their lyric content. In this paper, we present such a lyrics retrieval system. In a first step, phoneme posteriorgrams are extracted f...

We hypothesize that different genres of writing use different adjectives for the same concept. We test our hypothesis on lyrics, articles and poetry. We use the English Wikipedia and over 13,000 news articles from four leading newspapers for the article data set. Our lyrics data set consists of lyrics of more than 10,000 songs by 56 popular English singers, and our poetry dataset is made up of ...

The analysis of song lyrics can provide important meta-information about a song, such as its genre, emotion, and theme; however, obtaining this information can be difficult. Classifying a song based solely on its lyrics can be challenging for a variety of reasons, and as yet no single algorithm results in highly accurate classifications. In this paper, we examine why the task of classification ...

Music is used for people practicing sports, for elderly individuals, and to help train the mind. Recently in music information science, studies have been conducted on music therapy and on music classification from a therapeutic point of view. However, most of these studies have classified music based on melody and tempo. No classification method that is based on lyrics has been performed for mu...

Modern digital music libraries contain textual, visual, and audio data describing music on various semantic levels. Exploiting the availability of different semantically interrelated representations for a piece of music, this paper presents a query-by-lyrics retrieval system that facilitates multimodal navigation in CD audio collections. In particular, we introduce an automated method to time a...

We address the challenging task of automatically composing lyrical songs with matching musical and lyrical features, and we present the first prototype, M.U. SicusApparatus, to accomplish the task. The focus of this paper is especially on generation of art songs (lieds). The proposed approach writes lyrics first and then composes music to match the lyrics. The crux is that the music composition...

Songs constitute a natural combination of lyrics and melodies, but it is unclear whether and how these two song components are integrated during the emergence of a memory trace. Network theories of memory suggest a prominent role of the hippocampus, together with unimodal sensory areas, in the build-up of conjunctive representations. The present study tested the modulatory influence of the hipp...

Songs constitute a natural combination of lyrics and melodies, but it is unclear whether and how these two song components are integrated during the emergence of a memory trace. Network theories of memory suggest a prominent role of the hippocampus, together with unimodal sensory areas, in the build-up of conjunctive representations. The present study tested the modulatory influence of the hipp...

We investigate the association between musical chords and lyrics by analysing a large dataset of user-contributed guitar tablatures. Motivated by the idea that the emotional content of chords is reflected in the words used in corresponding lyrics, we analyse associations between lyrics and chord categories. We also examine the usage patterns of chords and lyrics in different musical genres, his...

This paper demonstrates the effectiveness of a Long Short-Term Memory language model in our initial efforts to generate unconstrained rap lyrics. The goal of this model is to generate lyrics that are similar in style to that of a given rapper, but not identical to existing lyrics: this is the task of ghostwriting. Unlike previous work, which defines explicit templates for lyric generation, our ...