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ICASSP
2009
IEEE
14 years 1 days ago
Dynamic texture models of music
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to t...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
11 years 7 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
TASLP
2011
13 years 7 days ago
Joint Estimation of Chords and Downbeats From an Audio Signal
—We present a new technique for joint estimation of the chord progression and the downbeats from an audio file. Musical signals are highly structured in terms of harmony and rhy...
Helene Papadopoulos, Geoffroy Peeters
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
13 years 11 months ago
An SVM Framework for Genre-Independent Scene Change Detection
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...
ISMIR
2003
Springer
133views Music» more  ISMIR 2003»
13 years 10 months ago
Chord segmentation and recognition using EM-trained hidden markov models
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological ana...
Alexander Sheh, Daniel P. W. Ellis