Studies examining song functioning in childhood are of particular importance when devising developmentally appropriate evidence-based Music Therapy (MT) interventions during recovery from brain injury. In comparison to adult studies where neural organization may be well defined, the neural organization of song in the developing brain has been under-researched. This includes functional consequen...

We employ Natural Language Processing techniques to analyse 377808 English song lyrics from the "Two Million Song Database" corpus, focusing on expression of sexism across five decades (1960-2010) and measurement gender biases. Using a classifier, we identify sexist at larger scale than previous studies using small samples manually annotated popular songs. Furthermore, reveal biases by measurin...

The song is one of the mediums to deliver a speaker’s feelings. There lot songwriters that write interesting lyrics. always story behind song. This research aims (1) describe mood types used in lyrics Weeknd album After Hours, (2) find actualization interpersonal meaning (3) analyze contribution Hours. belongs descriptive qualitative. following steps, it applied was first, this looked for songs...

With the abundance of digital music files on the internet, how to efficiently and effectively find a music piece is crucial. Conventional music search systems utilize text information of the music, such as the title of a song, a singer’s name, or the lyrics of a song. In many cases, such text-based music search tool is not sufficient. Often, a user may remember how to sing part of a song he/she...

hit song detection, music classification We explore the automatic analysis of music to identify likely hit songs. We extract both acoustic and lyric information from each song and separate hits from non-hits using standard classifiers, specifically Support Vector Machines and boosting classifiers. Our features are based on global sounds learnt in an unsupervised fashion from acoustic data or gl...

This study was designed to examine whether people's expectations differ regarding how music lyrics affect individual behavior as a function of music genre. Because legislative attention and media publicity have been biased against certain types of popular music (i.e., heavy metal and rap), the authors expected that those genres of music would be viewed more negatively than other genres of popul...