Speeding Up Music Similarity (2005)

by Elias Pampalk
Venue:in Proceedings of the MIREX Annual Music Information Retrieval eXchange
Citations:9 - 2 self

Active Bibliography

56 Improvements of Audio-Based Music Similarity and Genre Classification – Elias Pampalk, Arthur Flexer, Gerhard Widmer - 2005
7 Simac: Semantic interaction with music audio contents – Perfecto Herrera, Juan Bello, Gerhard Widmer, Mark S, Òscar Celma, Fabio Vignoli, Elias Pampalk, Pedro Cano, Steffen Pauws, Xavier Serra - 2005
9 Audio-based music similarity and retrieval: Combining a spectral similarity model with information extracted from fluctuation patterns. Implementation submitted to the 3rd annual Music Information Retrieval Evaluation eXchange – Elias Pampalk - 2006
4 Independent component analysis for music similarity computation – Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer - 2006
6 A CLOSER LOOK ON ARTIST FILTERS FOR MUSICAL GENRE CLASSIFICATION – Arthur Flexer
Carl Sable – Terence Magno, Cooper Union, Cooper Union
Dynamic Playlist Generation Based On Skipping Behavior – Elias Pampalk Tim, Tim Pohle, Gerhard Widmer - 2005
2 Social Audio Features for Advanced Music Retrieval Interfaces – Michael Kuhn, Roger Wattenhofer, Samuel Welten
22 Content-Based Music Information Retrieval: Current Directions and Future Challenges – Michael A. Casey, Remco Veltkamp, Masataka Goto, Marc Leman, Christophe Rhodes, Malcolm Slaney - 2008
10 Evaluation of Frequently Used Audio Features for Classification of Music into Perceptual Categories – Tim Pohle, Elias Pampalk, Gerhard Widmer - 2005
3 NOVELTY DETECTION BASED ON SPECTRAL SIMILARITY OF SONGS Arthur Flexer – Arthur Flexer, Elias Pampalk Gerhard, Gerhard Widmer - 2005
3 A framework for analysis of music similarity measures – Jesper Højvang Jensen, Mads Græsbøll Christensen, Søren Holdt Jensen - 2007
8 Hidden Markov models for spectral similarity of songs – Arthur Flexer, Elias Pampalk, Gerhard Widmer - 2005
2 Quantitative Analysis of a Common Audio Similarity Measure – Jesper Højvang Jensen, Mads Græsbøll Christensen, Daniel P. W. Ellis, Senior Member, Søren Holdt Jensen, Senior Member
22 A Web-Based Approach to Assessing Artist Similarity using CoOccurrences – Markus Schedl, Peter Knees, Gerhard Widmer - 2005
34 Aggregate features and AdaBoost for music classification – James Bergstra, Balázs Kégl - 2006
2 Algorithms for Classifying Recorded Music by Genre – James Bergstra - 2006
Serbia – Ioannis Karydis, Alexandros Nanopoulos, Mirjana Ivanović
3 From sound to ”sense” via feature extraction and machine learning: Deriving high-level descriptors for characterising music – Gerhard Widmer, Simon Dixon, Peter Knees, Elias Pampalk, Tim Pohle - 2005