Biblio

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Roma, G., Janer J., Kersten S., Schirosa M., Herrera P., & Serra X. (2010).  Ecological acoustics perspective for content-based retrieval of environmental sounds. EURASIP Journal on Audio, Speech, and Music Processing. 2010, 960863 . Abstract
application/pdf iconp7-roma.pdf
Vamvakousis, Z., & Ramirez R. (2015).  EEG Signal classification in a Brain-Computer Music Interface. 8th International Workshop on Machine Learning and Music. 28-30.
Forteza, M. (2013).  An EEG-based Emotion-driven Music Control System. Abstract
application/pdf iconMacia-Forteza-Master-Thesis-2013.pdf
Mealla, S. (2010).  Effects of Physiology-Based Interaction on Collaborative Performance. Abstract
Nuñez, V., & Herrera P. (2017).  Effects of voice, instrumentation and production on the recognition of emotions communicated by pop-rock songs . I Congreso Internacional de Psicología de la Música y la Interpretación Musical. Abstract
Díaz-Báñez, J. M., Kroher N., & Rizo J. C. (2015).  Efficient algorithms for melodic similarity in flamenco singing. 5th International Workshop on Folk Music Analysis (FMA).
Villavicencio, F., Bonada J., Yamagishi J., & Pucher M. (2015).  Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy. SIG Technical Reports.
application/pdf iconEfficient_Pitch_Estimation_on_Natural_Op.pdf
Amatriain, X. (2004).  El Programari Lliure a la Educació Guia per a la seva Justificació i Implementació. Abstract
Sesmero, J. (2008).  Electronic dance music genre classification. Abstract
Melidis, P. (2012).  Electronic Music Artist Identification. Abstract
Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
Espinosa-Anke, L., Oramas S., Saggion H., & Serra X. (2017).  ELMDist: A vector space model with words and MusicBrainz entities. Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
Serra, X., & Herrera P. (1999).  Els nous mitjans per a l'experimentació musical quan la tecnologia esdevé quelcom més que una eina. Transversal. Revista de cultura contemporània. 8,
Camurri, A., Bevilacqua F., Bresin R., Maestre E., Penttinen H., Seppänen J., et al. (2009).  Embodied music listening and making in context-aware mobile applications: the EU-ICT SAME Project. Gesture Workshop 2009..
Cano, P., & Koppenberger M. (2004).  The emergence of complex network patterns in music networks. Abstract
Yurci, E. (2014).  Emotion detection from EEG signals: correlating cerebral cortex activity with musicEMOTION. Abstract
application/pdf iconErim-Yurci-Master-Thesis-2014.pdf
Umbert, M. (2010).  Emotional Speech Synthesis for a Radio DJ: Corpus Design and Expression Modeling. Abstract
Sánchez-Mendoza, D. (2005).  Emulating Electric Guitar Effects With Neural Networks. Abstract
Loscos, A., & Bonada J. (2004).  Emulating Rough And Growl Voice In Spectral Domain. Abstract
Pons, J., Nieto O., Prockup M., Schmidt E. M., Ehmann A. F., & Serra X. (2018).  End-to-end learning for music audio tagging at scale. 19th International Society for Music Information Retrieval Conference (ISMIR2018). Abstract
Slizovskaia, O., Kim L., Haro G., & Gómez E. (2019).  End-to-End Sound Source Separation Conditioned On Instrument Labels. 2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
Pérez, A. (2009).  Enhancing Spectral Synthesis Techniques with Performance Gestures using the Violin as a Case Study. Department of Information and Communication Technologies. 165. Abstract
application/pdf iconThesis document
Maestre, E., Papiotis P., Marchini M., Llimona Q., Mayor O., Pérez A., et al. (2017).  Enriched Multimodal Representations of Music Performances: Online Access and Visualization. IEEE MultiMedia. 24(1), 24-34. Abstract
Serra, X. (1988).  An Environment for the Analysis, Transformation and Resynthesis of Music Sounds. Abstract
Roma, G., Herrera P., & Nogueira W. (2017).  Environmental sound recognition using short-time feature aggregation. Journal of Intelligent Information Systems. 1-19.
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