Biblio

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Book
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
Serra, X., Widmer G., & Leman M. (2007).  A Roadmap for Sound and Music Computing. (The S2S Consortium, Ed.). Abstract
Book Chapter
Cano, P., Batlle E., Gómez E., Gomes L., & Bonnet M. (2005).  Audio Fingerprinting Concepts and Applications.. 233-245. Abstract
Laurier, C., & Herrera P. (2009).  Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines. (Vallverdu, J., Casacuberta, D., Ed.).Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. 9-32.
application/pdf iconPre-print version
Gouyon, F., Herrera P., Gómez E., Cano P., Bonada J., Loscos A., et al. (2008).  Content Processing of Music Audio Signals. (Polotti, P., Rocchesso, D., Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. Abstract
Jordà, S. (2007).  Interactivity and Live Computer Music. (Nick Collins, Julio d'Escrivan, Ed.).The Cambridge Companion to Electronic Music. 312. 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.
García, R., Tsinaraki C., Celma Ò., & Christodoulakis S. (2008).  Multimedia Content Description using Semantic Web Languages. (Springer, Ed.).Semantic multimedia and ontologies: theory and applications.
Conference Paper
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
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).
Sordo, M., Laurier C., & Celma Ò. (2007).  Annotating Music Collections How content-based similarity helps to propagate labels. 8th International Conference on Music Information Retrieval. Abstract
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
Celma, Ò. (2004).  Architecture for an MPEG-7 Web Browser. 5th International Conference on Music Information Retrieval (ISMIR). Abstract
Cano, P., Gómez E., Batlle E., Gomes L., & Bonnet M. (2002).  Audio Fingerprinting Concepts and Applications. Abstract
Carabias-Orti, J. J., Rodriguez-Serrano F. J., Vera-Candeas P., Ruiz-Reyes N., & Canadas-Quesada F. J. (2015).  An Audio to Score Alignment Framework using Spectral Factorization and Dynamic Time Warping. 16th International Society for Music Information Retrieval (ISMIR) Conference, 2015..
Miron, M., Carabias-Orti J. J., & Janer J. (2014).  Audio-to-score alignment at the note level for orchestral recordings. 15th International Society for Music Information Retrieval Conference.
application/pdf iconMironCarabiasJaner2014.pdf
Coleman, G., Maestre E., & Bonada J. (2010).  Augmenting Sound Mosaicing with Descriptor-driven Transformation. Digital Audio Effects. Abstract
application/pdf icondafx10_augmos.pdf
Dzhambazov, G., Yang Y., Caro Repetto R., & Serra X. (2016).  Automatic Alignment of Long Syllables In A cappella Beijing Opera. 6th International Workshop on Folk Music Analysis (FMA 2016). 88-91. Abstract
application/pdf iconpostprint version
application/pdf iconpresentation slides
Cimarone, L., Bozkurt B., & Serra X. (2019).  Automatic Dastgah Recognition Using Markov Models. 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). 51-58. Abstract
Won, M., Chun S., Nieto O., & Serra X. (2019).  Automatic music tagging with Harmonic CNN. International Society for Music Information Retrieval (ISMIR). Abstract
Batlle, E., & Cano P. (2000).  Automatic Segmentation for Music Classification using Competitive Hidden Markov Models. Abstract
Cano, P., & Koppenberger M. (2004).  Automatic sound annotation. Abstract
Rodríguez, S., Gómez E., & Cuesta H. (2018).  Automatic Transcription of Flamenco Guitar Falsetas. International Workshop on Folk Music Analysis.
Srinivasamurthy, A., Subramanian S., Tronel G., & Chordia P. (2012).  A Beat Tracking Approach to Complete Description of Rhythm in Indian Classical Music. 2nd CompMusic Workshop.
application/pdf iconCompMusicWorkshop_1.pdf
Celma, Ò., Herrera P., & Serra X. (2006).  Bridging the Music Semantic Gap. Workshop on Mastering the Gap: From Information Extraction to Semantic Representation. 187, Abstract
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