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Interests Papers - Journal - Conference - Other Talks Media |
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My research focuses on Computer Audition, Machine Learning, and Music Information Retrieval.
Semantic Audio Annotation and Retrieval
We have created a computer audition algorithm that can both annotate
novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of
unlabeled audio content given a text-based query. We have used this algorithm to power the CAL Music Search Engine.
See Project Page
Music Annotation Games
We can collect a large number of music tags by deploying casual, web-based video games. As players interact with the game,
they provide semantic information about music that can be used to both directly index songs and train
our computer audition system. You can help us collect data for this project by playing
Listen Game.
Music Boundary Detection
A musical boundary is a transition between two musical segments such
as a verse and a chorus. Our goal is to automatically detect musical
boundaries using a supervised learning framework.
D. Turnbull, L. Barrington, D. Torres, G. Lanckriet
Semantic Annotation and Retrieval of Music and Sound Effects -
bib
IEEE Transactions on Audio, Speech, and Language Processing - to appear in February 2008
D. Turnbull, C. Elkan
Fast Recognition of Musical Genre using RBF Networks -
slides -
bib
IEEE Transactions on Knowledge and Data Engineering - April 2005
D. Turnbull, G. Lanckriet, E. Pampalk & M. Goto
A Supervised Approach for Detecting Boundaries in Music using Difference Features and Boosting -
slides -
bib
International Symposium on Music Information Retrieval (ISMIR '07), Vienna, September 2007
D. Torres, D. Turnbull, L. Barrington & G. Lanckriet
Identifying Words that are Musically Meaningful -
slides -
bib
International Symposium on Music Information Retrieval (ISMIR '07), Vienna, September 2007
D. Turnbull, R. Liu, L. Barrington & G. Lanckriet
A Game-Based Approach for Collecting Semantic Annotations of Music -
slides -
bib
International Symposium on Music Information Retrieval (ISMIR '07), Vienna, September 2007
D. Turnbull, L. Barrington, D. Torres & G. Lanckriet
Towards Musical Query-by-Semantic Description using the CAL500 Data Set -
slides -
bib
ACM Special Interest Group on Information Retrieval (SIGIR '07), Amsterdam, July 2007
L. Barrington, A. Chan, D.Turnbull & G.Lanckriet
Audio Information Retrieval Using Semantic Similarity -
poster -
bib
International Conference on Acoustic, Speech and Signal Processing (ICASSP '07), Hawaii, April 2007
D. Turnbull, L. Barrington & G. Lanckriet
Modeling Music and Words using a Multi-Class naive Bayes Approach
- slides
-
bib
International Symposium on Music Information Retrieval (ISMIR '06), Victoria, October 2006
D. Torres, D. Turnbull, L. Barrington, B. K. Sriperumbudur & G. Lanckriet
Finding Musically Meaningful Words by Sparce CCA -
bib
NIPS Workshop on Music, Brain & Cognition, Vancouver, December 2007
L.Barrington, D.Turnbull, D. Torres & G.Lanckriet
Semantic Similarity for Music Retrieval
- poster
Music Information Retrieval Evaluation Exchange, Vienna, Sept 2007
Audio Music Similarity Task -
3rd Place
- No Statistical Significance between top 4 teams
D.Turnbull, L.Barrington, D.Torres & G.Lanckriet -
Modeling the Semantics of Sound
NIPS Workshop on Advances in Models for Acoustic Processing, Vancouver, December 2006
D. Turnbull
Semantics from Sound: Modeling Audio and Text
-
slides
Thesis Proposal, UC San Diego, May 2006
D. Turnbull, N. Alldrin
Failure Prediction in Hardware Systems -
slides
CSE221 Project - December 2003
D. Turnbull, N. Alldrin, A.Smith
Classifying Facial Expressions with RBF Networks
CSE253 Final Project - March 2003
INVITED TALKS
Designing a Content-based Music Search Engine - abstract
Seminar talk given at CMU, IRCAM (France), University of Bath (UK),
University of London - Queen Mary (UK), UC San Diego, Princeton, Drexel, Columbia, and Microsoft Research
June 2007 through January 2008
Finding Music with Words
Southern California Computing in Music Symposium (SCCiM '07)
University of Southern California, February 17, 2007
IN THE MEDIA
News Article by Mark Freeman
Analytics is growing field in San Diego
San Diego Union Tribune, Nov. 9, 2007
Online Article
Music Search Engine: Identifying Musically Meaningful Words
Dr. Dobbs Portal, Sept 26, 2007
Interview by Lee Gomes
Computer Scientists Pull a Tom Sawyer to Finish Grunt Work
The Wall Street Journal, June 27, 2007
Douglas Turnbull
dturnbul@cs.ucsd.edu
Created: November 2002
Last Updated: October 2007