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» Distributed Audio Feature Extraction for Music
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ICASSP
2010
IEEE
14 years 9 months ago
Note onset detection using rhythmic structure
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...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
15 years 2 months ago
Feature selection for content-based, time-varying musical emotion regression
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
ISMIR
2005
Springer
195views Music» more  ISMIR 2005»
15 years 3 months ago
Factors Affecting Automatic Genre Classification: An Investigation Incorporating Non-Western Musical Forms
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perfor...
Noris Mohd. Norowi, Shyamala Doraisamy, Rahmita Wi...
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Interactive Content-Aware Music Browsing using the Radio Drum
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 ...
Jennifer Murdoch, George Tzanetakis
79
Voted
TASLP
2010
126views more  TASLP 2010»
14 years 7 months ago
Modeling Music as a Dynamic Texture
—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...