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 …

In this paper, we propose a joint architecture that captures language, rhyme and meter for
sonnet modelling. We assess the quality of generated poems using crowd and expert …

Most approaches to emotion analysis of social media, literature, news, and other domains
focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art …

This paper presents a novel, data-driven language model that produces entire lyrics for a
given input melody. Previously proposed models for lyrics generation suffer from the inability …

This article describes pilot experiments performed as one part of a longterm project
examining the possibilities for using versification analysis to determine the authorships of …

A prerequisite for the computational study of literature is the availability of properly digitized
texts, ideally with reliable meta-data and ground-truth annotation. Poetry corpora do exist for …

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 …

The analysis of sound and sonic devices in poetry is the focus of much poetic scholarship,
and poetry scholars are becoming increasingly interested in the role that computation might …

We attack a woefully under-explored language genre—lyrics in music—introducing a novel
hidden Markov model based method for completely unsupervised identifica-tion of rhyme …

By adopting recent advances in music creation technologies, such as digital audio
workstations and singing voice synthesizers, people can now create songs in their personal …