Biblio

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A
Porter, A., Bogdanov D., Kaye R., Tsukanov R., & Serra X. (2015).  AcousticBrainz: a community platform for gathering music information obtained from audio. 16th International Society for Music Information Retrieval Conference (ISMIR 2015). 786-792. Abstract
application/pdf iconpostprint version
Tarrat, J. M. (2008).  Adaptation of the Seam Carving Technique for Improving Audio Time-Scaling. Abstract
Schedl, M., Eghbal-Zadeh H., Gómez E., & Tkalcic M. (2016).  An analysis of agreement in classical music perception and its relationship to listener characteristics. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 578-583. Abstract
B
Srinivasamurthy, A., Subramanian S., Tronel G., & Chordia P. (2012).  A Beat Tracking Approach to Complete Description of Rhythm in Indian Classical Music. 2nd CompMusic Workshop.
application/pdf iconCompMusicWorkshop_1.pdf
C
Togias, S. (2012).  Characterization of Rhythm of Folk Music in the Mediterranean. Abstract
Trent, E. S., & Gómez E. (2015).  Correlations Between Musical Descriptors and Emotions Recognized in Beethoven’s Eroica. Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM). Abstract
application/pdf icon0168TrentGomez-ESCOM2015.pdf
application/pdf icon0168TrentGomezPoster.pdf
D
Yesiler, F., Tralie C., Correya A., Silva D. F., Tovstogan P., Gómez E., et al. (2019).  Da-TACOS: A dataset for cover song identification and understanding. International Society for Music Information Retrieval (ISMIR). Abstract
Tizón, M., Gómez F., & Oramas S. (2014).  Does Always the Phrygian Mode Elicit Responses of Negative Valence?. 4th International Workshop on Folk Music Analysis (FMA). Abstract
application/pdf iconEmotions-FMA2014.pdf
Tutzer, F. (2011).  Drum rhythm retrieval based on rhythm- and sound similarity. Abstract
application/pdf iconTutzer-Felix-Master-thesis-2011.pdf
Sarasúa, Á., & Guaus E. (2014).  Dynamics in Music Conducting: A Computational Comparative Study Among Subjects. (Caramiaux, Baptiste, Tahiroglu, Koray, Fiebrink, Rebecca, Tanaka, Atau, Ed.).International Conference on New Interfaces for Musical Expression. 195–200. Abstract
application/pdf icon464_paper.pdf
E
Gouyon, F., Klapuri A., Dixon S., Alonso M., Tzanetakis G., Uhle C., et al. (2006).  An experimental comparison of audio tempo induction algorithms. IEEE Transactions on Speech and Audio Processing. 14, Abstract
Tovstogan, P. (2018).  Exploring music similarity with AcousticBrainz. Abstract
Laurier, C., Lartillot O., Eerola T., & Toiviainen P. (2009).  Exploring Relationships between Audio Features and Emotion in Music. ESCOM, Conference of European Society for the Cognitive Sciences of Music. Abstract
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
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F
Thornburg, H., & Gouyon F. (2000).  A Flexible Analysis/Synthesis Method for Transients. Abstract
Stanyek, J., Benadon F., Browner T., Chordia P., Danielsen A., Gómez E., et al. (2014).  Forum on transcription. Twentieth-Century Music. 11(1), 101-161.
Akkermans, V., Font F., Funollet J., De Jong, B, Roma G., Togias S., et al. (2011).  Freesound 2: An Improved Platform for Sharing Audio Clips. International Society for Music Information Retrieval Conference (ISMIR 2011), Late-breaking Demo Session. Abstract
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
I
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
Weigl, D. M., Goebl W., Crawford T., Gkiokas A., Gutierrez N. F., Porter A., et al. (2019).  Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment. 6th International Conference on Digital Libraries for Musicology. Abstract
L
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
M
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.
Troes, T. (2017).  Measuring groove: A Computational Analysis of Timing and Dynamics in Drum Recordings. 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
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
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