Biblio

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Gómez, E., Grachten M., Amatriain X., & Arcos J. L. (2003).  Melodic characterization of monophonic recordings for expressive tempo transformations. Abstract
Gómez, E., Schedl M., Serra X., & Hu X. (2016).  Music Information Retrieval:
 Overview, Recent Developments and Future Challenges. 17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
Gómez, E., & Bonada J. (2013).  Towards Computer-Assisted Flamenco Transcription: An Experimental Comparison of Automatic Transcription Algorithms As Applied to A Cappella Singing. Computer Music Journal. 37(2), 73-90.
Gómez, E., Gouyon F., Herrera P., & Amatriain X. (2003).  Using and enhancing the current MPEG-7 standard for a music content processing tool. Abstract
Gómez, E. (2006).  Tonal Description of Music Audio Signals. Department of Information and Communication Technologies. Abstract
Gómez, E., & Bonada J. (2008).  Automatic Melodic Transcription of Flamenco Singing. Fourth Conference on Interdisciplinary Musicology (CIM08). Abstract
Gómez, E., & Herrera P. (2004).  Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies. 5th International Society for Music Information Retrieval (ISMIR) Conference. 92-95. Abstract
application/pdf iconGómezHerrera-ISMIR-2004-page-92.pdf
Gómez, E., Guerrero A., & Rodríguez S. (2018).  CANTE FLAMENCO TECH: Aprendizaje del cante con la ayuda de la tecnología. V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA). Abstract
application/pdf iconcante-flamenco-tech.pdf
Gómez, E., Streich S., Ong B., Paiva R. P., Tappert S., Batke J. M., et al. (2006).  A Quantitative Comparison of Different Approaches for Melody Extraction from Polyphonic Audio Recordings. Abstract
Gómez, P., Pikrakis A., Mora J., Díaz-Báñez J. M., Gómez E., Escobar Borrego F., et al. (2012).  Automatic Detection of Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings. III Interdisciplinary Conference on Flamenco Research (INFLA) and II International Workshop of Folk Music Analysis (FMA). Abstract
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
Gomes, L., Gómez E., & Moreau N. (2001).  Resynchronization methods for audio watermarking. Abstract
Gomes, L., Gómez E., Bonnet M., & Moreau N. (2001).  Méthodes de resynchronisation pour le tatouage audio. Abstract
Gomes, L., Cano P., Gómez E., Bonnet M., & Batlle E. (2003).  Audio Watermarking and Fingerprinting For Which Applications?. Journal of New Music Research. 32, Abstract
Giraldo, S. (2012).  Modeling Embellishment, Duration and Energy Expressive Transformations in Jazz Guitar. Abstract
application/pdf iconSergio_Giraldo_Master_Thesis_2012.pdf
Giraldo, S., & Ramirez R. (2014).  Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms. International Computer Music Conference/Sound and Music Computing Conference. Abstract
application/pdf iconSergio_SMC_3.pdf
Giraldo, S., & Ramirez R. (2015).  Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music. International Conference on New Music Concepts. Abstract
application/pdf iconICNMC 2015 Giraldo
Giraldo, S., & Ramirez R. (2012).  Modeling Embellishment, Timing and Energy Expressive Transformations in Jazz Guitar. 5th Internationa Workshop on Machine Learning and Music, Edinburgh, Scotland, UK, 2012. Copyright 2012 by the author(s)/owners..
application/pdf iconMML12_Giraldo_Ramirez.pdf
Giraldo, S., & Ramirez R. (2015).  Computational Modelling of Ornamentation in Jazz Guitar Music. International Symposium in Performance Science. 150-151.
application/pdf iconISPS 2015
Giraldo, S., & Ramirez R. (2013).  BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL. 3rd International Conference on Music & Emotion (ICME3).
application/pdf iconSergio Giraldo - Brain-Activity-Driven Real-Time Music Emotive Control.pdf
Giraldo, S. (2016).  Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach. Department of Information and Communication Technologies. 158.
Giraldo, S., & Ramirez R. (2016).  A Machine learning approach to discover rules for expressive performance actions in jazz guitar music. Frontiers in Psycology. 7, 1965. Abstract
Giraldo, S., & Ramirez R. (2013).  Real Time Modeling of Emotions by Linear Regression. MML 2013: Internatinal Workshop on Machine Learning and Music, ECML/PKDD .
application/pdf iconGiraldo_mml13proceedings.pdf
Giotis, P. (2009).  Instrument Timbre Transformation using Gaussian Mixture Models. Abstract
Giné, E. (2013).  A methodology for audio ingestion, restoration and analysis in the sound archiving field. Abstract
application/pdf iconEnric-Gine-Master-Thesis-2013.pdf
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