Biblio

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B
Bosch, J., Marxer R., & Gómez E. (2016).  Evaluation and Combination of Pitch Estimation Methods for Melody Extraction in Symphonic Classical Music. Journal of New Music Research . 45(2), 101-117.
application/pdf iconJNMR_Bosch_melody_symphonic_postprint.pdf
C
Cano, P., Koppenberger M., Wack N., G. Mahedero J., Aussenac T., Marxer R., et al. (2005).  Content-based Music Audio Recommendation. ACM Multimedia. Abstract
G
Grachten, M., Marxer R., Hazan A., & Purwins H. (2007).  Attention as musical interplay of bottom-up accents and expectation. GOSPEL Workshop. Abstract
H
Hazan, A., Brossier P., Marxer R., & Purwins P. (2009).  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
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
J
Janer, J., & Marxer R. (2013).  Separation of Unvoiced Fricatives in Singing Voice Mixtures with Semi-Supervised NMF. International Conference on Digital Audio Effects Conference (DAFx-13). Abstract
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
M
Marxer, R., & Janer J. (2013).  Study of regularizations and constraints in NMF-based drums monaural separation. International Conference on Digital Audio Effects Conference (DAFx-13). Abstract
Marxer, R. (2011).  Signal decomposition by a joint pitch, timbre and wideband model.
application/pdf iconsignal_decomposition.pdf
Marxer, R., & Purwins H. (2010).  Unsupervised Incremental Learning and Prediction of Audio Signals. International Symposium on Music Acoustics. Abstract
application/pdf iconMarxerPurwinsUnsupervisedIncrementalPredictionAudioISMA2010.pdf
Marxer, R. (2013).  Audio Source Separation for Music in Low-latency and High-latency Scenarios. Department of Information and Communication Technologies. Abstract
Marxer, R., & Janer J. (2013).  Low-latency Bass Separation using Harmonic-Percussion Decomposition. International Conference on Digital Audio Effects Conference (DAFx-13). Abstract
Marxer, R., & Purwins H. (2008).  An F-Measure for Evaluation of Unsupervised Clustering with Non-Determined Number of Clusters. 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
Marxer, R., & Janer J. (2013).  Modelling and Separation of Singing Voice Breathiness in Polyphonic Mixtures. International Conference on Digital Audio Effects Conference (DAFx-13). Abstract
Marxer, R., Holonowicz P., Hazan A., & Purwins H. (2008).  Dynamical Hierarchical Self-Organization Of Harmonic And Motivic Musical Categories. Acoustics. Abstract
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
P
Purwins, P., 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, P., 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
W
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
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., 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
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