publications
2011
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K. Ellis, E. Coviello, & G. Lanckriet - Semantic Annotation and Retrieval of Music Using a Bag of Systems Representation.
To appear in ISMIR 2011
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E. Coviello, R. Miotto, & G. Lanckriet - Combining Content-Based Auto-Taggers with Decision-Fusion.
To appear in ISMIR 2011
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B. McFee & G. Lanckriet - The natural language of playlists. To appear in ISMIR 2011 (data)
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B. McFee & G. Lanckriet - Large-scale music similarity search with spatial trees.
To appear in ISMIR 2011 (code)
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S. Dubnov, G. Assayag and A. Cont - Audio Oracle analysis of Musical Information Rate, Proceedings of IEEE Semantic Computing Conference.
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ICSC , September 2011
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S. Dubnov, G. Assayag and A. Cont - On the Information Geometry of Audio Streams with Applications to Similarity Computing.
IEEE Transactions on Audio, Speech and Language Processing, 19(4), pp. 837 - 846, 2011.
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J. Keshet, C-C Cheng, M. Stoehr, C. McAllester & L. K. Saul - Direct Error Rate Minimization of Hidden Markov Models.
INTERSPEECH, August 2011
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E. Coviello, A.B. Chan & G. Lanckriet - Time Series Models for Semantic Music Annotation.
IEEE Transactions on Audio, Speech, and Language Processing, July 2011
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C-C Cheng and B. Kingsbury - Arccosine Kernels: Acoustic Modeling with Infinite Neural Networks.
ICASSP, May 2011
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B. McFee, L. Barrington & G. Lanckriet - Learning content similarity for music recommendation.
Submitted to IEEE Transactions on Audio, Speech and Language Processing, 2011.
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B. McFee & G. Lanckriet - Learning multi-modal similarity.
Journal of Machine Learning Research (JMLR), February, 2011.
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2010
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B. McFee, L. Barrington & G. Lanckriet - Learning Similarity from Collaborative Filters.
ISMIR 2010
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R. Miotto, L. Barrington & G. Lanckriet - Improving Auto-tagging by Modeling Semantic Co-occurrences.
ISMIR 2010
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E. Coviello, L. Barrington, A.B. Chan & G. Lanckriet - Automatic Music Tagging With Time Series Models.
ISMIR 2010
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N. Koenigstein, G. Lanckriet, B. McFee and Y. Shavitt - Collaborative Filtering Based on P2P Networks.
ISMIR 2010
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B. McFee & G. Lanckriet - Metric learning to rank.
ICML 2010
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S. Dubnov - Musical Information Dynamics as Models of Auditory Anticipation.
Machine Audition: Principles, Algorithms and Systems, ed. W. Weng, IGI Global publication, 2010.
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L. Barrington, A.B. Chan, G. Lanckriet -
Modeling Music as a Dynamic Texture.
IEEE Transactions on Audio, Speech and Language Processing 18-3 pp 602-612. (project page)
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C.-C. Cheng, F. Sha, & L. K. Saul -
Online learning and acoustic feature adaptation in large margin hidden Markov models.
EEE Journal of Selected Topics in Signal Processing 4(6): 926-942, 2010.
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2009
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C.-C. Cheng, F. Sha, and L. K. Saul -
Large margin feature adaptation for automatic speech recognition.
Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU-09). Merano, Italy.
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B. McFee and G. Lanckriet -
Heterogeneous embedding for subjective artist similarity.
Tenth International Symposium for Music Information Retrieval (ISMIR). Kobe, Japan.
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L. Barrington, R. Oda, G. Lanckriet -
Smarter Than Genius? Human Evaluation of Muisc Recommender Systems.
Tenth International Symposium for Music Information Retrieval (ISMIR). Kobe, Japan.
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D. J. Hu and L. K. Saul -
A probabilistic model of unsupervised learning for musical-key profiles.
Tenth International Society for Music Information Retrieval Conference (ISMIR-09). Kobe, Japan.
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S. Dubnov, Y. Kiyoki - Opera of Meaning: film and music performance with semantic associative search.
Frontiers in Artificial Intelligence and Applications, Information Modelling and Knowledge Bases XX, Volume 190, pp. 384 – 391, 2009.
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C.-C. Cheng, F. Sha, and L. K. Saul -
A fast online algorithm for large margin training of continuous-density hidden Markov models.
In Proceedings of the Tenth Annual Conference of the International Speech Communication Association (Interspeech-09). Brighton, UK.
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L. Barrington, D. Turnbull, M. Yazdani, G. Lanckriet -
Combining Audio Content and Social Context for Semantic Music Discovery.
SIGIR, 2009.
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B. McFee, G. Lanckriet - Partial order embedding with multiple kernels.
Twenty-sixth International Conference on Machine Learning (ICML), 2009.
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C.-C. Cheng, F. Sha, and L. K. Saul -
Matrix updates for perceptron training of continuous-density hidden Markov models.
In Proceedings of the Twenty Sixth International Conference on Machine Learning (ICML-09), pages 153-160. Montreal, Canada.
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Y. Cho and L. K. Saul -
Learning dictionaries of stable autoregressive models for audio scene analysis.
Twenty Sixth International Conference on Machine Learning (ICML), pages 169-176. Montreal, Canada.
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Y. Cho and L. K. Saul -
Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models.
In Proceedings of the International Conference of Acoustics, Speech, and Signal Processing (ICASSP), pages 1705-1708. Taipei, Taiwan.
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L. Barrington, A.B. Chan, G. Lanckriet -
Dynamic Texture Models of Music.
In Proceedings of the International Conference of Acoustics, Speech, and Signal Processing (ICASSP). Taipei, Taiwan.
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S.Dubnov, M,J.Hinich - Analyzing several musical instrument tones using the randomly modulated periodicity model.
Signal Processing, Volume 89 , Issue 1, pp 24-30, January 2009
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2008
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L. Barrington, M. Yazdani, D. Turnbull, G. Lanckriet -
Combination of Feature Kernels for Semantic Music Retrieval.
ISMIR 2008
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D. Turnbull, L. Barrington, G. Lanckriet -
Five Approaches to Coleecting Tags for Music.
ISMIR 2008
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C. C. Cheng, D. J. Hu, and L. K. Saul -
Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation.
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-08), pages 2017-2020. Las Vegas, NV.
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D. Turnbull, L. Barrington, D. Torres, G. Lanckriet -
Semantic Annotation and Retrieval of Music and Sound Effects.
IEEE Transactions on Audio, Speech, and Language Processing, February 2008
bib
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S. Dubnov - Unified View of Prediction and Repetition Structure in Audio Signals. IEEE Transactions on Audio, Speech and Language Processing, Februrary 2008
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S. Dubnov and G. Assayag - Memex and Composer Duets: computer aided composition using style modeling and mixing. Open Music Composers book 2, 2008
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2007
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Turnbull, Liu, Barrington & Lanckriet - A Game-Based Approach for Collecting Semantic Annotations of Music
ISMIR, Vienna, Austria, September 2007.
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Torres, Turnbull, Barrington & Lanckriet - Identifying Words that are Musically Meaningful
ISMIR, Vienna, Austria, September 2007.
bib |
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Turnbull, Lanckriet, Pampalk, & Goto - A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting
ISMIR, Vienna, Austria, September 2007.
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Cont, Dubnov & Wessel -
Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints.
DAFx, Bordeaux, France, September 2007.
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Cont, Dubnov & Assayag -
GUIDAGE: A Fast Audio Query Guided Assemblage.
ICMC, Copenhagen, Denmark, August 2007.
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Dubnov, Cont & Assayag -
Audio Oracle: A New Algorithm for Fast Learning of Audio Structures.
ICMC, Copenhagen, Denmark, August 2007.
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Turnbull, Barrington, Torres & Lanckriet -
Towards Musical Query-by-Semantic Description using the CAL500 Data Set.
To appear in SIGIR, Amsterdam, July 2007
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Cont, Dubnov & Assayag -
Anticipatory Model of Musical Style Imitation using Collaborative and Competitive Reinforcement Learning.
in Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior
Butz, M.V.; Sigaud, O.; Pezzulo, G.; Baldassarre, G. (Eds.), Pages 285-306, LNCS 4520, Springer Verlag.
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Barrington, Chan, Turnbull & Lanckriet - Audio Information Retrieval Using Semantic Similarity. International Conference on Acoustic, Speech and Signal Processing (ICASSP), Hawaii, April 2007 bib |
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Sriperumbudur, Torres & Lanckriet - Sparse Eigen Methods by D.C. Programming. To appear in International Conference on Machine Learning (ICML), 2007 bib |
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Turnbull, Barrington, Torres & Lanckriet -
Exploring the Semantic Annotation and Retrieval of Sound.
CAL Technical Report CAL-2007-01, San Diego, February 2007 |
2006
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Turnbull, Barrington, Torres & Lanckriet - Modeling the Semantics of Sound NIPS Workshop on Advances in Models for Acoustic Processing, Vancouver, December 2006 |
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Turnbull, Barrington & Lanckriet - Modeling Music and Words using a Multi-Class naive Bayes Approach. International Symposium on Music Information Retrieval (ISMIR), Victoria, October 2006 |
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Cont - Realtime Multiple Pitch Observation using Sparse Non-negative Constraints. International Symposium on Music Information Retrieval (ISMIR), Victoria, October 2006. |
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Cont, Dubnov & Assayag - A framework for Anticipatory Machine Improvisation and Style Imitation. Anticipatory Behavior in Adaptive Learning Systems (ABiALS), Rome, September 2006. |
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Cont - Realtime Audio to Score Alignment for Polyphonic Music Instruments Using Sparse Non-negative constraints and Hierarchical HMMs. ICASSP'06, Toulouse, May 2006. |
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Barrington, Lyons, Diegmann & Abe - Ambient Display Using Musical Effects. Intelligent User Interfaces (IUI), Sydney, January 2006 |
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