Biblio

Export 19 results:
Sort by: Author [ Title (Asc)] Type Year
Filters: Author is Marxer, R.  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Grachten, M., Marxer R., Hazan A., & Purwins H. (2007).  Attention as musical interplay of bottom-up accents and expectation. GOSPEL Workshop. Abstract
C
Janer, J., Marxer R., & Arimoto K. (2012).  Combining a harmonic-based nmf decomposition with transient analysis for instantaneous percussion separation. International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 281-284.
application/pdf iconIcassp_Janer_reviewed.pdf
Wack, N., Cano P., De Jong, B, & Marxer R. (2006).  A Comparative Study of Dimensionality Reduction Methods: The Case of Music Similarity. Abstract
application/pdf iconNWack_2006.pdf
Hazan, A., Herrera P., Marxer R., Grachten M., & Purwins H. (2007).  Computational Modeling of Statistical Learning of Tone Sequences (Poster). International Conference on Cognitive and Neural Systems (ICCNS 2007). Abstract
Purwins, H., Herrera P., Grachten M., Hazan A., Marxer R., & Serra X. (2008).  Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain. Physics of Life Reviews. 5(3), 151-168. Abstract
Purwins, H., Grachten M., Herrera P., Hazan A., Marxer R., & Serra X. (2008).  Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing. Physics of Life Reviews. 5(3), 169-182. Abstract
Cano, P., Koppenberger M., Wack N., G. Mahedero J., Aussenac T., Marxer R., et al. (2005).  Content-based Music Audio Recommendation. ACM Multimedia. Abstract
D
Marxer, R., Holonowicz P., Hazan A., & Purwins H. (2008).  Dynamical Hierarchical Self-Organization Of Harmonic And Motivic Musical Categories. Acoustics. Abstract
Marxer, R., Holonowicz P., Purwins H., & Hazan A. (2007).  Dynamical Hierarchical Self-Organization of Harmonic, Motivic, and Pitch Categories . Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS). Abstract
F
Marxer, R., & Purwins H. (2008).  An F-Measure for Evaluation of Unsupervised Clustering with Non-Determined Number of Clusters. Abstract
L
Marxer, R., Janer J., & Bonada J. (2012).  Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models. (Theis, Fabian, Cichocki, Andrzej, Yeredor, Arie, Zibulevsky, Michael, Ed.).Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA. 7191, 314-321. Abstract
application/pdf iconlowlatency.pdf
M
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconWLB1.pdf
Wack, N., Guaus E., Laurier C., Meyers O., Marxer R., Bogdanov D., et al. (2009).  Music type groupers (MTG): generic music classification algorithms. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
S
Marxer, R. (2011).  Signal decomposition by a joint pitch, timbre and wideband model.
application/pdf iconsignal_decomposition.pdf
T
Marxer, R., & Janer J. (2012).  A Tikhonov Regularization Method For Spectrum Decomposition In Low Latency Audio Source Separation. International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 277-280.
application/pdf icon0000277.pdf
U
Marxer, R., & Purwins H. (2010).  Unsupervised Incremental Learning and Prediction of Audio Signals. International Symposium on Music Acoustics. Abstract
application/pdf iconMarxerPurwinsUnsupervisedIncrementalPredictionAudioISMA2010.pdf
W
Hazan, A., Brossier P., Marxer R., & Purwins H. (2008).  What/when causal expectation modelling applied to percussive audio. The Journal of the Acoustical Society of America, vol. 123, issue 5, p. 3800. Abstract
Hazan, A., Marxer R., Brossier P., Purwins H., Herrera P., & Serra X. (2009).  What/when causal expectation modelling applied to audio signals. Connection Science. 21(2-3), 119 – 143. Abstract
Hazan, A., Brossier P., Marxer R., & Purwins H. (2007).  What/when causal expectation modelling in monophonic pitched and percussive audio. NIPS-Workshop Music, Brain, & Cognition. Abstract
intranet