Biblio

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T
Tsukanov, R. (2016).  Tools for building new MIR datasets. Abstract
application/pdf iconRoman-Tsukanov-Master-thesis-2016.pdf
Martorell, A., Toiviainen P., & Gómez E. (2012).  Temporal multi-scale considerations in the modeling of tonal cognition from continuous rating experiments. International Conference on Music Perception and Cognition. Abstract
application/pdf iconTemporal multi-scale considerations in the modeling of tonal cognition from continuous rating experiments.pdf
Janer, J., Geraerts R., van Toll W. G., & Bonada, J. (2013).  Talking Soundscapes: Automatizing Voice Transformations For Crowd Simulation. AES 49th International Conference, Audio for Games..
application/pdf iconpaper49i_crowd-final-2.pdf
S
Tamer, Y. B., & Bozkurt B. (2013).  A System for Matching the Tuning in a Recording. Audio Technologies for Music and Media International Conference. Abstract
Tian, M., Srinivasamurthy A., Sandler M., & Serra X. (2014).  A Study of Instrument-wise Onset Detection in Beijing Opera Percussion Ensembles. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2159-2163. Abstract
application/pdf iconpost-print
Cano, P., Koppenberger M., Herrera P., Celma Ò., & Tarasov V. (2004).  Sound Effect Taxonomy Management in Production Environments. 25th AES International Conference. Metadata for Audio. Abstract
Roma, G., Zanin M., Herrera P., Toral S. L., Font F., & Serra X. (2012).  Small world networks and creativity in audio clip sharing. International Journal of Social Network Mining (IJSNM). 1(1), 112-127. Abstract
application/pdf iconpost-print
Thallinger, G., Kienast G., Mayor O., Cullen C., Hackett R., & Jose J. (2009).  SALERO: Semantic AudiovisuaL Entertainment Reusable Objects. International Broadcasting Conference (IBC 2009). Abstract
R
Romaní Picas, O., Parra Rodriguez H., Dabiri D., Tokuda H., Hariya W., Oishi K., et al. (2015).  A real-time system for measuring sound goodness in instrumental sounds. AES 138th Convention. Abstract
Q
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
P
Schedl, M., Melenhorst M., Liem C., Martorell A., Mayor Ó., & Tkalčič M. (2016).  A personality-based adaptive system for visualizing classical music performances. 7th International Conference on Multimedia Systems (MMSys'16). Abstract
application/pdf iconA personality-based adaptive system for visualizing classical music performances
Tizón, M., Gómez F., & Oramas S. (2013).  Perceived Emotions in Phrygian Mode In Musically Trained Children. 3rd International Conference in Music & Emotion. Abstract
O
Schedl, M., Gómez E., Trent E., Tkalcic M., Zadeh H. E., & Martorell A. (2017).  On the Interrelation between Listener Characteristics and the Perception of Emotion in Classical Orchestra Music. IEEE Transactions on Affective Computing. Abstract
M
Liem, C., Gómez E., & Tzanetakis G. (2017).  Multimedia Technologies for Enriched Music Performance, Production and Consumption. IEEE Mutlimedia Magazine . 24(01), 20-23. Abstract
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.
Cano, P., Koppenberger M., Ferradans S., Martinez A., Gouyon F., Sandvold V., et al. (2004).  MTG-DB A Repository for Music Audio Processing. Abstract
Troncy, R., Celma Ò., Little S., García R., & Tsinaraki C. (2007).  MPEG-7 based Multimedia Ontologies: Interoperability Support or Interoperability Issue?. 1st Workshop on Multimedia Annotation and Retrieval enabled by Shared Ontologies. Abstract
Celma, Ò., Dasiopoulou S., Hausenblas M., Little S., Tsinaraki C., & Troncy R. (2007).  MPEG-7 and the Semantic Web. W3C.
Tamer, Y. B., & Bozkurt B. (2013).  A microtonal tuning method: Test & discussion on the use of microtonal intervals for the performance of traditional Turkish music. Journal of Interdisciplinary Music Studies (JIMS). 7(1-2), 73-88. 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
Troes, T. (2017).  Measuring groove: A Computational Analysis of Timing and Dynamics in Drum Recordings. Abstract
Sarasúa, Á., Caramiaux B., & Tanaka A. (2016).  Machine Learning of Personal Gesture Variation in Music Conducting. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 3428–3432.
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Marxer, R., Janer J., & Bonada, J. (2012).  Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models. (Theis, Fabian, Cichocki, Andrzej, Yeredor, Arie, Zibulevsky, Michael, Ed.).Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA. 7191, 314-321. Abstract
application/pdf iconlowlatency.pdf
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G. Mahedero, J., Tarasov V., Batlle E., Guaus E., & Masip J. (2004).  Industrial audio fingerprinting distributed system with CORBA and Web Services. 5th International Conference on Music Information Retrieval. 337-340. Abstract
F
Molina, E., Barbancho I., Gómez E., Barbancho A. M., & Tardón L. J. (2013).  Fundamental frequency alignment vs note-based melodic similarity for singing voice assessment. 8th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
application/pdf iconSingingAssessment_ICASSP2013.pdf
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