Biblio

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Book
Gouyon, F., Herrera P., Martins L. G., & Müller M. (2012).  Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012.
Serra, X., Rao P., Murthy H., & Bozkurt B. (2012).  Proceedings of the 2nd CompMusic Workshop. 159.
application/pdf iconProceedings-2nd-CompMusic-Workshop-2012.pdf
Serra, X., Magas M., Benetos E., Chudy M., Dixon S., Flexer A., et al. (2013).  Roadmap for Music Information ReSearch. Abstract
application/pdf iconMIRES-Roadmap.pdf
Book Chapter
Martorell, A., & Gómez E. (2015).  Contextual set-class analysis. (D. Meredith, Ed.).Computational Music Analysis. 81-110. Abstract
application/pdf iconpreprint version
Purwins, H., Graepel T., Blankertz B., & Obermayer K. (2004).  Correspondence analysis for visualizing interplay of pitch class, key, and composer. (Guerino Mazzola, Thomas Noll, Emilio Luis-Puebla, Ed.).Perspectives in Mathematical and Computational Music Theory. 432-454. Abstract
Ramirez, R., Hazan A., Maestre E., & Serra X. (2006).  A Machine Learning Approach to Expressive Performance in Jazz Standards. (Petrushin, V. A., Khan, L., Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
Schedl, M., Sordo M., Koenigstein N., & Weinsberg U. (2014).  Mining User Generated Data for Music Information Retrieval. (Moens, Marie-Francine, Li, Juanzi, Chua, Tat-Seng, Ed.).Mining User Generated Content.
Ramirez, R., Gómez E., Vicente V., Puiggròs M., Hazan A., & Maestre E. (2006).  Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
Iglesias, C. A., Sánchez M., Guibert A., Guibertand M. J., & Gómez E. (2006).  A Multilingual Web-based Educational System for Professional Musicians. (Méndez-Vilas, A., Ed.).Current Developments in Technology-Assisted Education, Proceedings of Fourth International Conference on Multimedia and Information and Communication Technologies in Education. Abstract
Schedl, M., Knees P., McFee B., Bogdanov D., & Kaminskas M. (2015).  Music Recommender Systems. Recommender Systems Handbook. 453-492. Abstract
Gómez-Marín, D., Jordà S., & Herrera P. (2016).  Strictly Rhythm: Exploring the Effects of Identical Regions and Meter Induction in Rhythmic Similarity Perception. (Kronland-Martinet R., Aramaki M., Ystad S., Ed.).Music, Mind, and Embodiment. CMMR 2015. 449-463.
Marchini, M., & Purwins H. (2011).  Unsupervised Analysis and Generation of Audio Percussion Sequences. (Ystad, Sølvi, Aramaki, Mitsuko, Kronland-Martinet, Richard, Jensen, Kristoffer, Ed.).Exploring Music Contents. 6684, 205-218.
Schedl, M., Stober S., Gómez E., Orio N., & Liem C. C. S. (2012).  User-Aware Music Retrieval. (Müller, M., Goto, M., Markus Schedl, Ed.).Multimodal Music Processing. 3, 135-156.
Conference Paper
Gómez-Martín, F., Díaz-Báñez J. M., Gómez E., & Mora J. (2014).   Flamenco music and its computational study. BRIDGES: Mathematical Connections in Art, Music, and Science.
application/pdf iconCOFLA-Bridges.pdf
Garcia, F., Vinceslas L., & Maestre E. (2011).  Acquisition and study of blowing pressure profiles in recorder playing. NIME. Abstract
application/pdf iconnime2011-1.pdf
Villafuerte, L., Markova M. S., & Jordà S. (2012).  Acquisition of Social Abilities Through Musical Tangible User Interface: Children with Autism Spectrum Condition and the Reactable. CHI'12. 745-760. Abstract
application/pdf iconp745-villafuerte.pdf
Maestre, E., Bonada J., Blaauw M., Pérez A., & Guaus E. (2007).  Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference. Abstract
Mayor, O. (2001).  An adaptative real-time beat tracking system for polyphonic pieces of audio using multiple hypotheses. Abstract
Coleman, G., Bonada J., & Maestre E. (2011).  Adding Dynamic Smoothing to Mixture Mosaicing Synthesis. Spars11: Workshop on Signal Processing with Adaptive Sparse Structured Representations. Abstract
application/pdf icondynmos_spars11.pdf
Marques, G., Lopes M., Sordo M., Langlois T., & Gouyon F. (2010).  Additional Evidence That Common Low-level Features Of Individual Audio Frames Are Not Representative Of Music Genre. 7th Sound and Music Computing Conference, 2010, Barcelona, Spain. Abstract
application/pdf icon20.pdf
Geiger, G., Mora A., Rubio X., & Amatriain X. (2003).  AGNULA A GNU Linux Audio Distribution. Abstract
Batlle, E., Masip J., & Guaus E. (2004).  Amadeus A Scalable HMM-based Audio Information Retrieval System. First International Symposium on Control, Communications and Signal Processing. 731-734. Abstract
Cuesta, H., Gómez E., Martorell A., & Loáiciga F. (2018).  Analysis of Intonation in Unison Choir Singing. 15th International Conference on Music Perception and Cognition (ICMPC).
Cabrera, J. J., Díaz-Báñez J. M., Escobar Borrego F., Gómez E., Gómez F., & Mora J. (2009).  Aproximación interdisciplinar al análisis melódico de los cantes a capella. I Congreso Interdisciplinar Investigación y Flamenco.
application/pdf iconcofla-INFLA2009.pdf
Serrà, J., Koduri G. K., Miron M., & Serra X. (2011).  Assessing the tuning of sung Indian classical music. Int. Soc. for Music Information Retrieval Conf. (ISMIR). 263-268. Abstract
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