Biblio

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Z
Zurita, V. (2016).  Exploring structural sections in EDM DJ-created radio mixes with the help of automatic music descriptors. Abstract
application/pdf iconVincent-Zurita-Master-thesis-2016.pdf
Y
Yurci, E. (2014).  Emotion detection from EEG signals: correlating cerebral cortex activity with musicEMOTION. Abstract
application/pdf iconErim-Yurci-Master-Thesis-2014.pdf
V
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
Vamvakousis, Z., & Ramirez R. (2016).  The EyeHarp: A Gaze-Controlled Digital Musical Instrument. Frontiers in Psychology . 7,
Vamvakousis, Z., & Ramirez R. (2011).  THE EYEHARP: AN EYE-TRACKING-BASED MUSICAL INSTRUMENT. 8th Sound and Music Computing Conference.
Vamvakousis, Z. (2011).  The EyeHarp: A Gaze-Controlled Musical Instrument. Abstract
application/pdf iconVamvakousis-Zacharias-Master-thesis-2011.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.
U
Urbano, J., Schedl M., & Serra X. (2013).  Evaluation in Music Information Retrieval. Journal of Intelligent Information Systems. 41, 345-369. Abstract
application/pdf iconUrbano-Schedl-Serra-JIIS-2013.pdf
Umbert, M. (2010).  Emotional Speech Synthesis for a Radio DJ: Corpus Design and Expression Modeling. Abstract
Umbert, M., Bonada J., Goto M., Nakano T., & Sundberg J. (2015).  Expression Control in Singing Voice Synthesis: Features, Approaches, Evaluation, and Challenges. IEEE Signal Processing Magazine. 32(6), 55-73. Abstract
T
Turquois, C., Hermant M., Gómez-Marín D., & Jordà S. (2016).  Exploring the Benefits of 2D V isualizations for Drum Samples Retrieval. ACM on Conference on Human Information Interaction and Retrieval 2016. 329-332. Abstract
application/pdf iconFull paper
Tovstogan, P. (2018).  Exploring music similarity with AcousticBrainz. Abstract
S
Sordo, M., Oramas S., & Espinosa-Anke L. (2015).  Extracting Relations from Unstructured Text Sources for Music Recommendation. 20th International Conference on Applications of Natural Language to Information Systems. Abstract
application/pdf iconnldb2015_msordo_soramas_lespinosa.pdf
Sordo, M., Serrà J., Koduri G. K., & Serra X. (2012).  Extracting Semantic Information from an Online Carnatic Music Forum. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). 355-360. 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
Sesmero, J. (2008).  Electronic dance music genre classification. Abstract
Serra, X. (1988).  An Environment for the Analysis, Transformation and Resynthesis of Music Sounds. Abstract
Serra, X. (2013).  Exploiting Domain Knowledge in Music Information Research. Stockholm Music Acoustics Conference 2013 and Sound and Music Computing Conference 2013. 3-6. 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,
Schmele, T. (2011).  Exploring 3D Audio as a New Musical Language. Abstract
application/pdf iconSchmele-Timothy-Master-thesis-2011.pdf
Sánchez-Mendoza, D. (2005).  Emulating Electric Guitar Effects With Neural Networks. Abstract
Salselas, I. (2013).  Exploring interactions between music and language during the early development of music cognition. A computational modelling approach. Department of Information and Communication Technologies. 137. Abstract
application/pdf iconSalselas-Ines-PhD-Thesis-2013.pdf
R
Rossi, A. (2018).  Event Recognition of Domestic Sounds using Semi-Supervised Learning. Abstract
Roma, G., Herrera P., & Nogueira W. (2017).  Environmental sound recognition using short-time feature aggregation. Journal of Intelligent Information Systems. 1-19.
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
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