@report {17911,
	title = {MODELING DYNAMIC PATTERNS FOR EMOTIONAL CONTENT IN MUSIC},
	year = {2013},
	month = {2013},
	abstract = {Emotional content is a major component in music. It has long been a research topic of interest to discover the acoustic patterns in the music that carry that emotional information, and enable performers to communicate emotional messages to listeners. Previous works looked in the audio signal for local cues, most of which assume monophonic music, and their statistics over time. Here, we used generic audio features, that can be calculated for any audio signal, and focused on the progression of these features through time, investigating how informative the dynamics of the audio is for emotional content. Our data is comprised [...]},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&site=eds-live\&db=edsbas\&AN=edsbas.ftciteseerx.oai.CiteSeerX.psu.10.1.1.297.433},
	author = {Yonatan Vaizman and Granot, Roni Y. and Gert Lanckriet and The Pennsylvania State University CiteSeerX Archives}
}
