Biblio

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Sordo, M., Celma Ò., Blech M., & Guaus E. (2008).  The Quest for Musical Genres: Do the Experts and the Wisdom of Crowds Agree?. 9th International Conference on Music Information Retrieval. Abstract
application/pdf iconpostprint version
Roma, G., & Serra X. (2015).  Querying Freesound with a microphone. WAC - 1st Web Audio Conference. Abstract
application/pdf iconquerying.pdf
Sordo, M., Celma Ò., & Laurier C. (2009).  QueryBag: Using Different Sources For Querying Large Music Collections. Conference of the International Society for Music Information Research (ISMIR), Demo session. Abstract
Salamon, J., & Rohrmeier M. (2009).  A Quantitative Evaluation of a Two Stage Retrieval Approach for a Melodic Query by Example System. 10th International Society for Music Information Retrieval Conference (ISMIR 2009). Abstract
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
Caro Repetto, R., Zhang S., & Serra X. (2017).  Quantitative analysis of the relationship between linguistic tones and melody in jingju using music scores. 4th International Digital Libraries for Musicology workshop (DLfM 2017). 41-44. Abstract
Serrà, J., Corral A., Boguñá M., Haro G. G., & Arcos J. L. (2012).  Quantifying the evolution of popular music. NoLineal. Abstract
Bogdanov, D., & Serra X. (2017).  Quantifying music trends and facts using editorial metadata from the Discogs database. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). 89-95. Abstract
Serrà, J. (2007).  A qualitative assessment of measures for the evaluation of a cover song identification system. International Conference on Music Information Retrieval (ISMIR). 319-322. Abstract
P
Herrera, P., Serra X., & Peeters G. (1999).  A proposal for the description of audio in the context of MPEG-7. European Workshop on Content-Based Multimedia Indexing. Abstract
Serra, X., Rao P., Murthy H., & Bozkurt B. (2012).  Proceedings of the 2nd CompMusic Workshop. 159.
application/pdf iconProceedings-2nd-CompMusic-Workshop-2012.pdf
Senan, T. U. (2014).  Preservation and Study of Historical Guitars Museu de la Musica de Catalunya: Methodology Proposal to Play the Unplayable. Abstract
Gómez, E., Cañadas F., Salamon J., Bonada J., Vera P., & Cabañas P. (2012).  Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
application/pdf iconMTGUJA-ISMIR2012-FINAL.pdf
Zhang, S., Caro Repetto R., & Serra X. (2015).  Predicting Pairwise Pitch Contour Relations Based on Linguistic Tone Information in Beijing Opera Singing. 16th International Society for Music Information Retrieval (ISMIR) Conference. 107-113. Abstract
application/pdf iconpostprint version
Serrà, J., Kantz H., Serra X., & Andrzejak R. G. (2011).  Predictability of music descriptor time series and its application to cover song detection. IEEE Transactions on Audio, Speech, and Language Processing. 20(2), 514-525. Abstract
application/pdf iconIEEEPredictabilitySupplementary.pdf
Haro, G. G., Serrà J., Corral A., & Herrera P. (2012).  Power-Law Distribution in Encoded MFCC Frames of Speech, Music, and Environmental Sound Signals. 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). 895-902.
application/pdf iconharo_etal_p895.pdf
Hazan, A., Holonowicz P., Salselas I., Herrera P., Purwins H., Knast A., et al. (2008).  Poster - Modeling the Acquisition of Statistical Regularities in Tone Sequences. CogSci 2008.
Bittner, R. M., Salamon J., Bosch J., & Bello J. P. (2017).  Pitch Contours as a Mid-Level Representation for Music Informatics. AES International Conference on Semantic Audio.
application/pdf iconSemantic_Audio_2017_pitch_contours.pdf
Gong, R., Yang Y., & Serra X. (2016).  Pitch Contour Segmentation for Computer-aided Jingju Singing Training. 13th Sound and Music Computing Conference (SMC 2016). 172-178. Abstract
Sparato, D. M. M. (2012).  A Physiological Approach for User Experience Evaluation. Case Study: Interaction with Tabletop Systems for Music Creation. Abstract
application/pdf iconMundo-Diana-MasterThesis-2012.pdf
Gulati, S., Serrà J., Ishwar V., Şentürk S., & Serra X. (2016).  Phrase-based Rāga Recognition Using Vector Space Modeling. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 66-70. Abstract
application/pdf iconPresentation slides
Serra, X., & Brncic G. (1994).  Phonos: Studio Report. International Computer Music Conference. 488-489. Abstract
Gómez, E., Grachten M., Hanjalic A., Janer J., Jordà S., Julià C. F., et al. (2013).  PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences. SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
application/pdf iconPHENICX-smac2013-6.0.pdf
Laurier, C., Sordo M., Bozzon A., Brambilla M., & Fraternali P. (2009).  Pharos: An Audiovisual Search Platform using Music Information Retrieval Techniques. Conference of the International Society for Music Information Research (ISMIR), Demo session. Abstract
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
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