Biblio

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Xambó, A., Laney R., Dobbyn C., & Jordà S. (2012).  Towards a taxonomy for video analysis on collaborative musical tabletops. BCS HCI 2012 Workshop on Video Analysis Techniques for HCI.
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Vamvakousis, Z., & Ramirez R. (2013).  Towards a Low Cost Mu-Rhythm Based BCI. Fifth International Brain-Computer Interface Meeting 2013.
application/pdf iconZacharias Vamvakousis_Mu rhythm BCI.pdf
Vamvakousis, Z., & Ramirez R. (2012).  Temporal Control In the EyeHarp Gaze-Controlled Musical Interface. New Interfaces for Musical Expression (NIME) 2012. Abstract
application/pdf iconTemporal Control In the EyeHarp Gaze-Controlled Musical Interface.pdf
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Urbano, J., & Marrero M. (2016).  Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance. International ACM SIGIR Conference on Research and Development in Information Retrieval. 1033-1036. Abstract
application/pdf iconpostprint version
Urbano, J. (2016).  Test Collection Reliability: A Study of Bias and Robustness to Statistical Assumptions via Stochastic Simulation. Information Retrieval Journal. 19(3), 313-350. Abstract
application/pdf icon064-test-collection-reliability-study-bias-robustness-statistical-assumptions-stochastic-simulation.pdf
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Tsukanov, R. (2016).  Tools for building new MIR datasets. Abstract
application/pdf iconRoman-Tsukanov-Master-thesis-2016.pdf
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Streich, S., & Herrera P. (2004).  Toward Describing Perceived Complexity of Songs Computational Methods and Implementation. 25th AES International Conference: Metadata for Audio . Abstract
application/pdf iconStreich-AES25-2004.pdf
Srinivasamurthy, A., Caro Repetto R., Sundar H., & Serra X. (2014).  Transcription and Recognition of Syllable based Percussion Patterns: The Case of Beijing Opera. International Society for Music Information Retrieval Conference (ISMIR-2014). 431-436. Abstract
Sordo, M., & Coviello E. (2013).  Tutorial on Music Autotagging. Abstract
Serrà, J., Gómez E., & Herrera P. (2008).  Transposing Chroma Representations to a Common Key. IEEE CS Conference on The Use of Symbols to Represent Music and Multimedia Objects. 45-48. Abstract
Serra, X. (2005).  Towards A Roadmap for The Research in Music Technology. International Computer Music Conference. Abstract
Sandvold, V., & Herrera P. (2005).  Towards a Semantic Descriptor of Subjective Intensity in Music. International Computer Music Conference. Abstract
Salamon, J., Serrà J., & Gómez E. (2013).  Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming. International Journal of Multimedia Information Retrieval, special issue on Hybrid Music Information Retrieval. 2(1), 45-58. Abstract
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Romanelli, L. (2018).  Towards a Model of Computational Beauty - extracting aesthetic meaning from music reviews. Abstract
Roma, G., & Xambó A. (2008).  A tabletop waveform editor for live performance. NIME08. Abstract
Ricard, J., & Herrera P. (2003).  Towards computational morphological sound description. Musicnetwork Workshop - IRCAM Ressonances.
Ricard, J. (2004).  Towards computational morphological description of sound. Abstract
Resa, Z. (2010).  Towards Time-aware Contextual Music Recommendation: An Exploration of Temporal Patterns of Music Listening Using Circular Statistics. Abstract
Rauschenberger, M., Rello L., Baeza-Yates R., Gomez E., & Bigham J. P. (2017).  Towards the Prediction of Dyslexia by a Web-based Game with Musical Elements. The 14th International Web for All Conference . 4-7. Abstract
application/pdf icon2-accessible.pdf
Ramirez, R., & Hazan A. (2006).  A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies. International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
Ramirez, R., & Puiggròs M. (2006).  Training a Classifier to Detect Instantaneous Musical Cognitive States. International Conference on Music Perception and Cognition. Abstract
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Purwins, H., Blankertz B., & Obermayer K. (2007).  Toroidal Models in Tonal Theory and Pitch-Class Analysis. Computing in Musicology (Tonal Theory for the Digital Age ). 15, 73–98. Abstract
Purwins, H., & Hardoon D. (2009).  Trends and Perspectives in Music Cognition Research and Technology. Connection Science. 21(2-3), 85-88. Abstract
Pons, J., Serrà J., & Serra X. (2019).  Training neural audio classifiers with few data. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
Pons, J., Slizovskaia O., Gong R., Gómez E., & Serra X. (2017).  Timbre Analysis of Music Audio Signals with Convolutional Neural Networks. 25th European Signal Processing Conference (EUSIPCO).
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