Automatic lyrics-to-audio alignment techniques have been drawing attention in the last years and various studies have been made in this field. The objective of lyrics-to-audio alignment is to estimate a temporal relationship between lyrics and musical audio signals and can be applied to various applications such as Karaoke-style lyrics display. In this contribution, we provide an overview of re...

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 based on topics of lyrics and finding unfamiliar artists who have similar taste to a favorite artist. Although previous studies applied latent Dirichlet allocation (LDA) to lyrics to analyze topics, LDA w...

The lyrics of a song are an interesting, yet underused type of symbolic music data. We present SongWords, an application for tabletop computers that allows browsing and exploring a music collection based on its lyrics. SongWords can present the collection in a self-organizing map or sorted along different dimensions. Songs can be ordered by lyrics, user-generated tags or alphabetically by name,...

The relationship between mood and creativity has been widely studied in psychology, however, no conclusion is reached in terms of which mood triggers high creativity, positive or negative. This paper provides new insights to this on-going argument by examining the relationship between lyrics creativity and music mood. We use three computational measures to gauge lyrics creativity: Type-toToken ...

We propose a novel user interface that enables control of a singing voice synthesizer at a live improvisational performance. The user first registers the lyrics of a song with the system before performance, and the system builds a probabilistic model that models the possible jumps within the lyrics. During performance, the user simultaneously inputs the lyrics of a song with the left hand using...

We investigate techniques for visualizing song lyrics. Specifically, we present a design to tightly align musical and linguistic features of a song in a way that preserves the readability of lyrics, while conveying how the melodic, harmonic, and metric lines of the music fit with the text. We demonstrate and evaluate our technique on two examples that have been implemented using Protovis, and p...

Three studies examined the impact of sexual-aggressive song lyrics on aggressive thoughts, emotions, and behavior toward the same and the opposite sex. In Study 1, the authors directly manipulated whether male or female participants listened to misogynous or neutral song lyrics and measured actual aggressive behavior. Male participants who were exposed to misogynous song lyrics administered mor...

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 systems are based on simple word search, those systems often fail to reflect user’s intention behind a query when a word given as a query can be used in different contexts. For example, the word“tears”can appear ...

Digitization of music has led to easier access to different forms music across the globe. Increasing work pressure denies the necessary time to listen and evaluate music for a creation of a personal music library. One solution might be developing a music search engine or recommendation system based on different moods. In fact mood label is considered as an emerging metadata in the digital music...

Background music in social interaction settings can hinder conversation. Yet, little is known of how specific properties of music impact speech processing. This paper addresses this knowledge gap by investigating 1) whether the masking effect of background music with lyrics is larger than that of music without lyrics, and 2) whether the masking effect is larger for more complex music. To answer...