Welcome to UCSD's Computer Audition Laboratory. Listen up!
faculty affiliated faculty graduate students
  • Luke Barrington, Electrical & Computer Enginnering
  • Chih-Chieh Cheng, Computer Science & Engineering
  • Youngmin Cho, Computer Science & Engineering
  • Arshia Cont, Computer Music
  • Diane Hu, Computer Science & Engineering
  • Omer Lang, Electrical & Computer Engineering
  • Brian McFee, Computer Science & Engineering
  • Shibin Parameswan, Computer Science & Engineering
  • David Torres, Computer Science & Computer Engineering
  • Douglas Turnbull, Computer Science & Computer Engineering
  • Mehrdad Yazdani, Electrical & Computer Engineering
 research projects news
publications
2010
L. Barrington, A.B. Chan, G. Lanckriet - Modeling Music as a Dynamic Texture. To appear in IEEE Transactions on Audio, Speech and Language Processing. (project page)
2009
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.
B. McFee and G. Lanckriet - Heterogeneous embedding for subjective artist similarity. Tenth International Symposium for Music Information Retrieval (ISMIR). Kobe, Japan.
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.
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.
C.-C. Cheng, F. Sha, and L. K. Saul - A fast online algorithm for large margin training of continuous-density hidden Markov models. To appear in Proceedings of the Tenth Annual Conference of the International Speech Communication Association (Interspeech-09). Brighton, UK.
L. Barrington, D. Turnbull, M. Yazdani, G. Lanckriet - Combining Audio Content and Social Context for Semantic Music Discovery. SIGIR, 2009.
B. McFee, G. Lanckriet - Partial order embedding with multiple kernels. Twenty-sixth International Conference on Machine Learning (ICML), 2009.
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.
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.
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.
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.
2008
L. Barrington, M. Yazdani, D. Turnbull, G. Lanckriet - Combination of Feature Kernels for Semantic Music Retrieval. ISMIR 2008
D. Turnbull, L. Barrington, G. Lanckriet - Five Approaches to Coleecting Tags for Music. ISMIR 2008
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.
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
S. Dubnov - Unified View of Prediction and Repetition Structure in Audio Signals. IEEE Transactions on Audio, Speech and Language Processing, Februrary 2008
S. Dubnov and G. Assayag - Memex and Composer Duets: computer aided composition using style modeling and mixing. Open Music Composers book 2, 2008
2007
Turnbull, Liu, Barrington & Lanckriet - A Game-Based Approach for Collecting Semantic Annotations of Music ISMIR, Vienna, Austria, September 2007.
Torres, Turnbull, Barrington & Lanckriet - Identifying Words that are Musically Meaningful ISMIR, Vienna, Austria, September 2007. bib
Turnbull, Lanckriet, Pampalk, & Goto - A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting ISMIR, Vienna, Austria, September 2007.
Cont, Dubnov & Wessel - Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints. DAFx, Bordeaux, France, September 2007.
Cont, Dubnov & Assayag - GUIDAGE: A Fast Audio Query Guided Assemblage. ICMC, Copenhagen, Denmark, August 2007.
Dubnov, Cont & Assayag - Audio Oracle: A New Algorithm for Fast Learning of Audio Structures. ICMC, Copenhagen, Denmark, August 2007.
Turnbull, Barrington, Torres & Lanckriet - Towards Musical Query-by-Semantic Description using the CAL500 Data Set. To appear in SIGIR, Amsterdam, July 2007 bib
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.
Barrington, Chan, Turnbull & Lanckriet - Audio Information Retrieval Using Semantic Similarity. International Conference on Acoustic, Speech and Signal Processing (ICASSP), Hawaii, April 2007 bib
Sriperumbudur, Torres & Lanckriet - Sparse Eigen Methods by D.C. Programming. To appear in International Conference on Machine Learning (ICML), 2007 bib
Turnbull, Barrington, Torres & Lanckriet - Exploring the Semantic Annotation and Retrieval of Sound. CAL Technical Report CAL-2007-01, San Diego, February 2007
2006
Turnbull, Barrington, Torres & Lanckriet - Modeling the Semantics of Sound NIPS Workshop on Advances in Models for Acoustic Processing, Vancouver, December 2006
Turnbull, Barrington & Lanckriet - Modeling Music and Words using a Multi-Class naive Bayes Approach. International Symposium on Music Information Retrieval (ISMIR), Victoria, October 2006
Cont - Realtime Multiple Pitch Observation using Sparse Non-negative Constraints. International Symposium on Music Information Retrieval (ISMIR), Victoria, October 2006.
Cont, Dubnov & Assayag - A framework for Anticipatory Machine Improvisation and Style Imitation. Anticipatory Behavior in Adaptive Learning Systems (ABiALS), Rome, September 2006.
Cont - Realtime Audio to Score Alignment for Polyphonic Music Instruments Using Sparse Non-negative constraints and Hierarchical HMMs. ICASSP'06, Toulouse, May 2006.
Barrington, Lyons, Diegmann & Abe - Ambient Display Using Musical Effects. Intelligent User Interfaces (IUI), Sydney, January 2006