Biblio

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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
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Schedl, M., Melenhorst M., Liem C., Martorell A., Mayor O., & 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.
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.
Bogdanov, D., Won M., Tovstogan P., Porter A., & Serra X. (2019).  The MTG-Jamendo Dataset for Automatic Music Tagging. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
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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