In this paper we explore the relationship between the temporal and rhythmic structure of musical audio signals. Using automatically extracted rhythmic structure we present a rhyth...
Norberto Degara, Aantonio Pena, Matthew E. P. Davi...
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perfor...
Portable digital music players are becoming pervasive and the size of personal digital music collections has been steadily increasing (5-10 thousand tracks are common today). The ...
—We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important asp...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...