2014

Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography

Joshua Moore, Thorsten Joachims, Douglas Turnbull

International Symposium on Music Information Retrieval (ISMIR '14)

Taiwan, October 2014

Best Student Paper Award!

pdf



Using Personalized Radio to Enhance Local Music Discovery

Douglas Turnbull, Justin Zupnick, Kristofer Stensland, Andrew Horwitz, Alex Wolf, Alex Spirgel,

Stephen Mayerhofer, Thosten Joachims
Extended Abstracts in Human Factors in Computing Systems (ACM CHI ’14)

Toronto, Canada, April 2014

pdf :: site :: poster



2013

MeUse: Recommending Internet Radio Stations

Maurice Grant, Adeesha Ekanayake, Douglas Turnbull

International Symposium on Music Information Retrieval (ISMIR '13)

Curitiba, Brazil, November 2013

pdf :: site ::  poster


Taste Over Time: The Temporal Dynamics of User Preferences

Joshua Moore, Shuo Chen,  Douglas Turnbull, Thorsten Joachims

International Symposium on Music Information Retrieval (ISMIR '13)

Curitiba, Brazil, November 2013

pdf


2012

Learning to Embed Songs and Tags for Playlist Prediction

Joshua Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull

International Symposium on Music Information Retrieval (ISMIR '12)

Porto, Portugal, October 2012

pdf


Playlist Prediction via Metric Embedding

Shuo Chen, Joshua Moore, Douglas Turnbull, Thorsten Joachims

ACM Conference on Knowledge Discovery and Data Mining (KDD ’12)

Beijing, China, August 2012

pdf :: demo


Model AI Assignment: Music Genre Classification

Douglas Turnbull

Educational Advances in Artificial Intelligence (EAAI ’12)

Association for the Advancement of Artificial Intelligence (AAAI ’12)

Toronto, Canada, July 2012

site


Embedding Songs and Tags for Playlist Prediction

Joshua Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull

Workshop on Machine Learning and Music

International Conference on Machine Learning (ICML ’12)

Edinburgh, Scotland, June 2012


Exploring Control and Feedback Mechanisms for Personalized Internet Radio

Richard Roberts, Kris Stensland, Douglas Turnbull

International Symposium on Music Information Retrieval (ISMIR '10)

Ithaca NY, May 2012

pdf :: slides :: video


Game-Powered Machine Learning

Luke Barrington, Douglas Turnbull, Gert Lanckriet

Proceedings of the National Academy of Science

April, 2012

Link


Indexing Music with Tags

Douglas Turnbull

Music Data Mining (published by CRC Press)

2012

pdf :: bib


2011

You Can Judge an Artist by an Album Cover: Using Images for Music Annotation

Janis Libeks, Douglas Turnbull

IEEE Mulitmedia

January, 2011

pdf :: bib


2010

Music Emotion Recognition: A State of the Art Review

Youngmoo Kim, Erik Schmidt, Ray Migneco, Brandon Morton, Patrick Richardson, Jeff Scott Jacquelin Speck, Douglas Turnbull

International Symposium on Music Information Retrieval (ISMIR '10)

Utrecht, August 2010

pdf


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

pdf :: slides :: bib


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

pdf :: poster :: bib


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

pdf :: slides :: bib


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

pdf :: poster :: bib


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

pdf :: bib


2009

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

pdf :: poster :: bib


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

pdf :: slides :: bib


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

pdf :: slides :: bib


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

pdf :: bib


2008

Five Approaches to Collecting Tags for Music

Douglas Turnbull, Luke Barrington, Gert Lanckriet

International Symposium on Music Information Retrieval (ISMIR '08)

Philadelphia, September 2008

pdf :: poster :: bib


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

pdf :: poster :: bib


Design and Development of a Semantic Music Discovery Engine

Douglas Turnbull

University of California, San Diego

May 2008

pdf :: video :: slides :: bib


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

pdf :: bib


2007


Finding Musically Meaningful Words by Sparce CCA

David Torres, Douglas Turnbull, Luke Barrington, Barath K. Sriperumbudur, Gert Lanckriet

NIPS Workshop on Music, Brain & Cognition,

Vancouver, December 2007

pdf :: bib


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

pdf :: slides :: bib


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

pdf :: slides :: bib


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

pdf :: slides :: bib


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


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

pdf :: slides :: bib


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

pdf :: poster :: bib


2006


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

pdf :: bib


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

pdf :: slides :: bib


2005


Fast Recognition of Musical Genre using RBF Networks

Douglas Turnbull, Charles Elkan

IEEE Transactions on Knowledge and Data Engineering

April 2005

pdf :: slides :: bib

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