Understanding the lyrics of many contemporary songs is difficult, and an earlier study [Hidalgo-Barnes, M., Massaro, D.W., 2007. Read my lips: an animated face helps communicate musical lyrics. Psychomusicology 19, 3–12] showed a benefit for lyrics recognition when seeing a computer-animated talking head (Baldi ) mouthing the lyrics along with hearing the singer. However, the contribution of vi...

This paper describes a method to mine Hindi-English transliteration pairs from online Hindi song lyrics. The technique is based on the observations that lyrics are transliterated word-by-word, maintaining the precise word order. The mining task is nevertheless challenging because the Hindi lyrics and its transliterations are usually available from different, often unrelated, websites. Therefore...

We present an approach to automatically retrieve and extract lyrics of arbitrary songs from the Internet. It is intended to provide easy and convenient access to lyrics for users, as well as a basis for further research based on lyrics, e.g. semantic analysis. Due to the fact that many lyrics found on the web suffer from individual errors like typos, we make use of multiple versions from differ...

With the explosive growth of music recordings, automatic classification of music emotion becomes one of the hot spots on research and engineering. Typical music emotion classification (MEC) approaches apply machine learning methods to train a classifier based on audio features. In addition to audio features, the MIDI and lyrics features of music also contain useful semantic information for pred...

Which comes first—the lyrics or the music? Here we consider the lyrics-first approach to songwriting and seek to augment the process by developing a creativity-support tool which uses lyrics as a creative constraint for rhythm generation. We describe a novel algorithm for suggesting possible melodic rhythms to complement the accent structure of a given set of lyrics. The algorithm is composed o...

When listening to speech, we often benefit when also seeing the speaker's face. If this advantage is not domain specific for speech, the recognition of sung lyrics should also benefit from seeing the singer's face. By independently varying the sight and sound of the lyrics, we found a substantial comprehension benefit of seeing a singer. This benefit was robust across participants, lyrics, and ...

Lyrics are rich in features such as rhyme, pleasantness, similes, metaphors and more. Many of these features are exclusive to lyrics. We have estimated that more than two thousand Tamil lyrics are being created every year in various forms. Modeling the lyric-specific features becomes an essential task in organizing the lyrics for retrieval and analysis. In this paper, we propose three scoring m...

The cognitive relationship between lyrics and tunes in song is currently under debate, with some researchers arguing that lyrics and tunes are represented as separate components, while others suggest that they are processed in integration. The present study addressed this issue by means of a functional magnetic resonance adaptation paradigm during passive listening to unfamiliar songs. The repe...

Rap music has had a contentious relationship with the legal system, including censorship, regulation, and artists being arrested for lewd and profane performances. More recently, rap lyrics have been introduced by prosecutors to establish guilt in criminal trials. Some fear this form of artistic expression will be inappropriately interpreted as literal and threatening, perhaps because of stereo...

This research was done in order to describe the content of proposed lyrics’ concepts in permissible pop music based on published audio works’ list of music publication office in 2009 among 200 albums of music office published audio works,  the 10 number of pop singers were randomly selected and the lyrics’ concept of 70 music were also investigated. In the process of data analysis in the first ...