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., 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
Serrà, J., Gómez E., & Herrera P. (2010).  Audio cover song identification and similarity: background, approaches, evaluation, and beyond. (Ras, Z., A. A. Wieczorkowska, Ed.).Advances in Music Information Retrieval. 274, 307-332. Abstract
application/pdf iconjserra10coveridreview.pdf
Cano, P., Batlle E., Gómez E., Gomes L., & Bonnet M. (2005).  Audio Fingerprinting Concepts and Applications.. 233-245. Abstract
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
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., 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
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.
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.
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
Herrera, P., & Gómez E. (2015).   Life Soundtracking: promises and challenges of automated systems aimed to recovering meaningful music for Alzheimer's patients. International Workshop on Quantitative and Qualitative Music Therapy Research. 19. Abstract
Pauwels, J., O’Hanlon K., Gómez E., & Sandler M. B. (2019).  20 Years of automatic chord recognition from audio. International Society for Music Information Retrieval (ISMIR). Abstract
Porcaro, L., & Gómez E. (2019).  20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). Abstract
Gouyon, F., Widmer G., & Serra X. (2005).  Acoustic Cues to Beat Induction A Machine Learning Perspective. 10th Rhythm Perception and Production Workshop. 24(2), 177-188. Abstract
Fonseca, E., Gong R., Bogdanov D., Slizovskaia O., Gomez E., & Serra X. (2017).  Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks. Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
Garcia, F., Vinceslas L., & Maestre E. (2011).  Acquisition and study of blowing pressure profiles in recorder playing. NIME. Abstract
application/pdf iconnime2011-1.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
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
Schedl, M., Eghbal-Zadeh H., Gómez E., & Tkalcic M. (2016).  An analysis of agreement in classical music perception and its relationship to listener characteristics. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 578-583. 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).
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