Biblio

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Salamon, J., & Gómez E. (2012).  Melody Extraction from Polyphonic Music Signals using Pitch Contour Characteristics. IEEE Transactions on Audio, Speech and Language Processing. 20(6), 1759-1770. Abstract
Salamon, J. (2013).  Melody Extraction from Polyphonic Music Signals. Department of Information and Communication Technologies. Abstract
Salamon, J., & Gómez E. (2010).  Melody Extraction from Polyphonic Music Audio. 5th Music Information Retrieval Evaluation eXchange (MIREX 2010) extended abstract.
Bosch, J., & Gómez E. (2015).  Melody extraction by means of a source-filter model and pitch contour characterization (MIREX 2015). Music Information Retrieval Evaluation eXchange (MIREX).
application/pdf iconJ. Bosch MIREX 2015 melody extraction submission
Bosch, J., & Gómez E. (2016).  Melody extraction based on a source-filter model using pitch contour selection. 13th Sound and Music Computing Conference (SMC 2016). 67-74. Abstract
application/pdf iconSMC-postprint-bosch.pdf
Gómez, E., Klapuri A., & Meudic B. (2003).  Melody Description and Extraction in the Context of Music Content Processing. Journal of New Music Research. 32, Abstract
Gómez, E. (2002).  Melodic Description of Audio Signals for Music Content Processing. Abstract
Mora, J., Gómez-Martin F., Gómez E., & Díaz-Báñez J. M. (2016).  Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes. Journal of New Music Research . Abstract
Gómez, E., Grachten M., Amatriain X., & Arcos J. L. (2003).  Melodic characterization of monophonic recordings for expressive tempo transformations. Abstract
Mora, J., Gómez F., Gómez E., Escobar Borrego F., & Díaz-Báñez J. M. (2010).  Melodic Characterization and Similarity in A Cappella Flamenco Cantes. International Society for Music Information Retrieval Conference (ISMIR) . Abstract
application/pdf iconMelodyFlamenco-ISMIR2010.pdf
Guastavino, C., Gómez F., Toussaint G., Marandola F., & Gómez E. (2009).  Measuring Similarity between Flamenco Rhythmic Patterns. Journal of New Music Research. 38(2), 129-138. Abstract
application/pdf iconGuastavinoEtAlJNMR2009.pdf
Sarasua, A., Urbano J., & Gomez E. (2019).  Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements. Frontiers on Digital Humanities. Abstract
Ramirez, R., Hazan A., Gómez E., & Maestre E. (2004).  A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
L
Gramunt, N., Desiré, Morera A., Gómez E., Herrera P., Nebot E., et al. (2019).  Lifesoundtrack: an intergenerational musical experience to promote wellbeing in people with dementia while increasing community awareness. 14th​ International Conference on Alzheimer's and Parkinson's Diseases. Abstract
Molina-Solana, M., Arcos J. L., & Gómez E. (2008).  Learning Violinist's Expressive Trends . International Workshop on Machine Learning and Music, Held in conjunction with ICML/COLT/UAI 2008. Abstract
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Faraldo, Á., Gómez E., Jordà S., & Herrera P. (2016).  Key Estimation in Electronic Dance Music. 38th European Conference on Information Retrieval. 335-347. Abstract
Gómez, E. (2005).  Key estimation from polyphonic audio. Abstract
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Cano, P., Gómez E., Gouyon F., Herrera P., Koppenberger M., Ong B., et al. (2006).  ISMIR 2004 Audio Description Contest. Abstract
Gómez, E. (2011).  Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music. (Müller, M., Goto, M., Dixon, S., Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
Cano, P., Koppenberger M., Wack N., G. Mahedero J., Masip J., Celma Ò., et al. (2005).  An Industrial-Strength Content-based Music Recommendation System. 28th Annual International ACM SIGIR Conference. Abstract
Serrà, J., Gómez E., & Herrera P. (2008).  Improving binary similarity and local alignment for cover song detection. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Zapata, J. R., & Gómez E. (2012).  Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study. The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) . 583-590.
application/pdf iconBeatracking_with_source_separation_Jose_Zapata.pdf
Kroher, N., & Gómez E. (2014).  Improving accompanied Flamenco singing voice transcription by combining vocal detection and predominant melody extraction.. International Computer Music Conference/Sound and Music Computing Conference. Abstract
application/pdf iconCameraReady_VoicingDetection.pdf
Janer, J., Gómez E., Martorell A., Miron M., & de Wit B. (2016).  Immersive Orchestras: audio processing for orchestral music VR content. VSGAMES 2016 - 8th International Conference on Virtual Worlds and Games for Serious Applications. Abstract
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Martorell, A., & Gómez E. (2014).  Hierarchical multi-scale set-class analysis. Journal of Mathematics and Music: Mathematical and Computational Approaches to Music Theory, Analysis, Composition and Performance. 1-14. Abstract
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