Ph.D. Dissertation
Design and Development of a Semantic Music Discovery Engine
Douglas Turnbull
University of California, San Diego
May 2008
Journal Papers (Peer-Reviewed)
Semantic Annotation and Retrieval of Music and Sound Effects
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
IEEE Transactions on Audio, Speech, and Language Processing
February 2008
Fast Recognition of Musical Genre using RBF Networks
Douglas Turnbull, Charles Elkan
IEEE Transactions on Knowledge and Data Engineering
April 2005
Conference Papers (Peer-Reviewed)
Exploring the ``Image'' of an Artist using Content-based Analysis of Promotional Photographs
Janis Libeks, Douglas Turnbull
International Computer Music Conference (ICMC ’10)
New York, June 2010
BeatSyncMashCoder: A Web Application for Real-Time Creation of Beat-Synchronous Music Mashups
Garth Griffin, Youngmoo Kim, Douglas Turnbull
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '10)
Dallas, March 2010
Exploring Automatic Music Annotation with ``Acoustically-Objective'' Tags
Derek Tingle, Youngmoo Kim, Douglas Turnbull
ACM International Conference on Multimedia Information Retrieval (MIR '10)
Philadelphia, March 2010
Using Regression to Combine Data Sources for Semantic Music Discovery
Brian Tomasik, Joon Hee Kim, Margaret Ladlow, Malcolm Augat, Derek Tingle, Rich Wicentowski, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR '09)
Kobe, September 2009
Using Artist Similarity to Propagate Semantic Information
Joon Hee Kim, Brian Tomasik, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR '09)
Kobe, September 2009
Combining Audio Content and Social Context for Semantic Music Discovery
Douglas Turnbull, Luke Barrington, Mehrdad Yazdani, Gert Lanckriet
ACM Special Interest Group on Information Retrieval (SIGIR '09)
Boston, July 2009
Tagging Products using Image Classification
Brian Tomasik, Phyo Thiha, Douglas Turnbull
ACM Special Interest Group on Information Retrieval (SIGIR '09)
Boston, July 2009
2-page :: 8-page :: poster :: bib
User-Centered Design of a Social Game to Tag Music
Luke Barrington, Douglas Turnbull, Damien O’Malley, Gert Lanckriet
ACM KDD Workshop on Human Computation (HCOMP '09)
Paris, July 2009
Five Approaches to Collecting Tags for Music
Douglas Turnbull, Luke Barrington, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR '08)
Philadelphia, September 2008
Combining Feature Kernels for Semantic Music Retrieval
Luke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR '08)
Philadelphia, September 2008
A Supervised Approach for Detecting Boundaries in Music using Difference Features and Boosting
Douglas Turnbull, Gert Lanckriet, Elias Pampalk, Masataka Goto
International Symposium on Music Information Retrieval (ISMIR '07)
Vienna, September 2007
Identifying Words that are Musically Meaningful
David Torres, Douglas Turnbull, Luke Barrington, Gert Lanckrie
International Symposium on Music Information Retrieval (ISMIR '07),
Vienna, September 2007
A Game-Based Approach for Collecting Semantic Annotations of Music
Douglas Turnbull, Roy Liu, Luke Barrington, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR '07)
Vienna, September 2007
Towards Musical Query-by-Semantic Description using the CAL500 Data Set
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
ACM Special Interest Group on Information Retrieval (SIGIR '07)
Amsterdam, July 2007
Audio Information Retrieval Using Semantic Similarity
Luke Barrington, Antoni Chan, Douglas Turnbull, Gert Lanckriet
International Conference on Acoustic, Speech and Signal Processing (ICASSP '07)
Hawaii, April 2007
Modeling Music and Words using a Multi-Class naive Bayes Approach
Douglas Turnbull, Luke Barrington, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR '06)
Victoria, October 2006
Demo, Workshop & Other Papers
Meerkat: Exploring Semantic Music Discovery Using Personalized Radio
Ashley Oudenne, Youngmoo Kim, Douglas Turnbull
Demo at ACM International Conference on Multimedia Information Retrieval (MIR ‘10)
Philadelphia, March 2010
Feature Selection for Content-Based, Time-Varying Musical Emotion Regression
Erik Schmidt, Douglas Turnbull, Youngmoo Kim
ACM International Conference on Multimedia Information Retrieval (MIR ‘10)
Philadelphia, March 2010
Finding Musically Meaningful Words by Sparse CCA
David Torres, Douglas Turnbull, Luke Barrington, Barath K. Sriperumbudur, Gert Lanckriet
NIPS Workshop on Music, Brain & Cognition
Vancouver, December 2007
Semantic Similarity for Music Retrieval
Luke Barrington, Douglas Turnbull, David Torres, GertLanckriet
Music Information Retrieval Evaluation Exchange (MIREX ’07)
Audio Music Similarity Task - 3rd Place (no statistically significance between top 4 teams)
Vienna, September 2007
pdf :: poster :: results :: bib
Modeling the Semantics of Sound
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
NIPS Workshop on Advances in Models for Acoustic Processing,
Vancouver, December 2006