Biblio

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Hu, X., Downie S. J., Laurier C., Bay M., & Ehmann A. (2008).  The 2007 MIREX Audio Mood Classification Task: Lessons Learned. 9th International Conference on Music Information Retrieval. Abstract
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Marques, G., Lopes M., Sordo M., Langlois T., & Gouyon F. (2010).  Additional Evidence That Common Low-level Features Of Individual Audio Frames Are Not Representative Of Music Genre. 7th Sound and Music Computing Conference, 2010, Barcelona, Spain. Abstract
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Cuesta, H., Gómez E., Martorell A., & Loáiciga F. (2018).  Analysis of Intonation in Unison Choir Singing. 15th International Conference on Music Perception and Cognition (ICMPC).
Sordo, M., Laurier C., & Celma Ò. (2007).  Annotating Music Collections How content-based similarity helps to propagate labels. 8th International Conference on Music Information Retrieval. Abstract
Laurier, C. (2004).  Attributs multiples dans un improvisateur automatique. Abstract
Font, F., Brookes T., Fazekas G., Guerber M., La Burthe A., Plans D., et al. (2016).  Audio Commons: bringing Creative Commons audio content to the creative industries. 61st AES Conference on Audio for Games. Abstract
Laurier, C., & Herrera P. (2007).  Audio music mood classification using support vector machine. International Society for Music Information Research Conference (ISMIR). Abstract
Laurier, C. (2011).  Automatic Classification of Musical Mood by Content-Based Analysis. Abstract
Laurier, C., & Herrera P. (2009).  Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines. (Vallverdu, J., Casacuberta, D., Ed.).Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. 9-32.
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Luque, S. R. (2019).  Automatic Detection of Flamenco Singing Vocal Resources. Abstract
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Bonada, J., Lachlan, R., & Blaauw M. (2016).  Bird Song Synthesis Based on Hidden Markov Models. Interspeech. 2582-6. Abstract
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Susini, P., Misdariis N., Lemaitre G., Houix O., Rocchesso D., Polotti P., et al. (2006).  Closing the loop of sound evaluation and design. Perceptual Quality of Systems. Abstract
Domingues, M. A., Gouyon F., Jorge A. M., Leal J. P., Vinagre J., Lemos L., et al. (2012).  Combining Usage and Content in an Online Music Recommendation System for Music in the Long-Tail. 4th International Workshop on Advances in Music Information Research.
Domingues, M. A., Gouyon F., Jorge A. M., Leal J. P., Vinagre J., Lemos L., et al. (2013).  Combining Usage and Content in an Online Recommendation System for Music in the Long-Tail. International Journal of Multimedia Information Retrieval. 2(Hybrid Music Information Retrieval), 3-13. Abstract
Herrera, P., & Loureiro R. (1996).  Comprensión de escenarios sonoros.
Laurier, C., & Herrera P. (2007).  A computational approach to classify music by emotion. European Computing Conference. Abstract
Gouyon, F., Herrera P., Gómez E., Cano P., Bonada J., Loscos A., et al. (2008).  Content Processing of Music Audio Signals. (Polotti, P., Rocchesso, D., Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. Abstract
Amatriain, X., Bonada J., Loscos A., Arcos J. L., & Verfaille V. (2003).  Content-based Transformations. Journal of New Music Research. 32, Abstract
Purwins, H., Graepel T., Blankertz B., & Obermayer K. (2004).  Correspondence analysis for visualizing interplay of pitch class, key, and composer. (Guerino Mazzola, Thomas Noll, Emilio Luis-Puebla, Ed.).Perspectives in Mathematical and Computational Music Theory. 432-454. Abstract
López-Gómez, C. (2013).  Criterios para la transcripción manual de la colección de tonás.
application/pdf iconCriteriosTranscripcionTONAS.pdf
Şentürk, S., Lee S. W., Sastry A., Daruwalla A., & Weinberg G. (2012).  Crossole: A Gestural Interface for Composition, Improvisation and Performance using Kinect. (Essl, G., Gillespie, B., Gurevich, M., O'Modhrain, S., Ed.).Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). 449-502. Abstract
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Vinyes, M., Bonada J., & Loscos A. (2006).  Demixing Commercial Music Productions via Human-Assisted Time-Frequency Masking. Abstract
Jordà, S., Hunter S., Pla P., Gallardo D., Leithinger D., Kaufman H., et al. (2010).  Development strategies for tangible interaction on horizontal surfaces. Tangible Embedded and Embodied Interaction. Abstract
Herrera, P., Serrà J., Laurier C., Guaus E., Gómez E., & Serra X. (2009).  The Discipline formerly known as MIR. International Society for Music Information Retrieval (ISMIR) Conference, special session on The Future of MIR (fMIR). Abstract
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Loscos, A., & Bonada J. (2004).  Emulating Rough And Growl Voice In Spectral Domain. Abstract
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