Biblio

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H
Haro, G. G., Xambó A., Fuhrmann F., Bogdanov D., Gómez E., & Herrera P. (2010).  The Musical Avatar - A visualization of musical preferences by means of audio content description. 5th Audio Mostly Conference: A Conference on Interaction with Sound. Abstract
application/pdf iconavatar_AM2010.pdf
Hansen, K., & Alonso M. (2008).  More DJ techniques on the reactable. NIME08. Abstract
G
Gulati, S., Serrà J., Ishwar V., & Serra X. (2014).  Mining Melodic Patterns in Large Audio Collections of Indian Art Music. International Conference on Signal Image Technology & Internet Based Systems - Multimedia Information Retrieval and Applications. 264-271. Abstract
application/pdf iconPresentation slides
Gulati, S., Serrà J., Ishwar V., & Serra X. (2014).  Melodic Pattern Extraction in Large Collections of Music Recordings Using Time Series Mining Techniques. International Society for Music Information Retrieval Conference (Late breaking demo). Abstract
application/pdf iconPoster
Guaus, E., Bonada J., Pérez A., Maestre E., & Blaauw M. (2007).  Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics. Abstract
Guaus, E., & Herrera P. (2006).  Music Genre Categorization in Humans and Machines. 121th AES Convention. Abstract
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
Gómez, E., Gouyon F., Herrera P., & Amatriain X. (2003).  MPEG-7 for Content-based Music Processing. Abstract
Gómez, E. (2002).  Melodic Description of Audio Signals for Music Content Processing. 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., Grachten M., Amatriain X., & Arcos J. L. (2003).  Melodic characterization of monophonic recordings for expressive tempo transformations. 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
Gómez, E., Haro M., & Herrera P. (2009).  Music and geography: content description of musical audio from different parts of the world. 10th International Society for Music Information Retrieval Conference. Abstract
Gómez, E., Cano P., Gomes L., Batlle E., & Bonnet M. (2002).  Mixed Watermarking-Fingerprinting Approach for Integrity Verification of Audio Recordings. Abstract
Gomes, L., Gómez E., Bonnet M., & Moreau N. (2001).  Méthodes de resynchronisation pour le tatouage audio. Abstract
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. (2016).  A Machine learning approach to discover rules for expressive performance actions in jazz guitar music. Frontiers in Psycology. 7, 1965. Abstract
Giraldo, S. (2012).  Modeling Embellishment, Duration and Energy Expressive Transformations in Jazz Guitar. Abstract
application/pdf iconSergio_Giraldo_Master_Thesis_2012.pdf
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
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.
Ganguli, K. K., Lele A., Pinjani S., Rao P., Srinivasamurthy A., & Gulati S. (2017).  Melodic Shape Stylization for Robust and Efficient Motif Detection in Hindustani Vocal Music. National Conference for Communications. Abstract
application/pdf iconGanguli-et-al-NCC-2017.pdf
F
Fernández-Macías, E., Gomez E., Hernández-Orallo J., Loe B. - S., Martens B., Martínez-Plumed F., et al. (2018).  A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. Workshop on architectures and evaluation for generality, autonomy and progress in AI, IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018.
Faraldo, Á., Jordà S., & Herrera P. (2017).  A Multi-Profile Method for Key Estimation in EDM. AES International Conference on Semantic Audio. Abstract
application/pdf iconaes_FARALDO_cameraReady.pdf
D
Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015. Abstract
application/pdf iconpostprint version
Dzhambazov, G., Holzapfel A., Srinivasamurthy A., & Serra X. (2017).  Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio. The 18th International Society for Music Information Retrieval Conference. Abstract
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