Biblio

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Z
Haro, G. G., Serrà J., Herrera P., & Corral A. (2012).  Zipf's Law in Short-Time Timbral Codings of Speech, Music, and Environmental Sound Signals. PLoS ONE. 7(3), e33993. Abstract
W
Hazan, A., Brossier P., Marxer R., & Purwins H. (2007).  What/when causal expectation modelling in monophonic pitched and percussive audio. NIPS-Workshop Music, Brain, & Cognition. Abstract
Hazan, A., Marxer R., Brossier P., Purwins H., Herrera P., & Serra X. (2009).  What/when causal expectation modelling applied to audio signals. Connection Science. 21(2-3), 119 – 143. Abstract
Hazan, A., Brossier P., Marxer R., & Purwins P. (2009).  What/when causal expectation modelling applied to percussive audio. The Journal of the Acoustical Society of America, vol. 123, issue 5, p. 3800. Abstract
Urbano, J., Bogdanov D., Herrera P., Gómez E., & Serra X. (2014).  What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features?. 15th International Society for Music Information Retrieval Conference. 573-578. Abstract
application/pdf icon025-what-effect-audio-quality-robustness-mfcc-chroma-features.pdf
V
Zinemanas, P., Arias P., Haro G. G., & Gómez E. (2017).  Visual music transcription of clarinet video recordings trained with audio-based labelled data. ICCV 2017 Workshop on Computer Vision for Audio-Visual Media (CVAVM). Abstract
Xambó, A., Laney R., Dobbyn C., & Jordà S. (2013).  Video analysis for evaluating music interaction: musical tabletop. (Holland, S., Ed.).Music and Human-Computer Interaction.
Herrera, P., & Bonada J. (1998).  Vibrato Extraction and Parameterization in the Spectral Modeling Synthesis framework. Digital Audio Effects 1998. Abstract
application/pdf iconHerrera-DAFX-1998.pdf
U
Ricard, J., & Herrera P. (2003).  Using morphological description for generic sound retrieval. International Conference on Music Information Retrieval. Abstract
Maestre, E., Hazan A., Ramirez R., & Pérez A. (2006).  Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference. Abstract
Gómez, E., Gouyon F., Herrera P., & Amatriain X. (2003).  Using and enhancing the current MPEG-7 standard for a music content processing tool. Abstract
Haro, G. G., Xambó A., Fuhrmann F., Bogdanov D., Gómez E., & Herrera P. (2010).  User Evaluation Questionnaire for The Musical Avatar Project. Abstract
application/pdf iconAvatar_User_Evaluation.pdf
Bogdanov, D., Serrà J., Wack N., Herrera P., & Serra X. (2011).  Unifying Low-level and High-level Music Similarity Measures. IEEE Transactions on Multimedia. 13(4), 687-701 . Abstract
Ramirez, R., Hazan A., Gómez E., & Maestre E. (2004).  Understanding expressive transformations in saxophone jazz performances using inductive machine learning. Sound and Music Computing Conference. Abstract
Ramirez, R., & Hazan A. (2005).  Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449. Abstract
T
Knees, P., Faraldo Á., Herrera P., Vogl R., Böck S., Hörschläger F., et al. (2015).  Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. 16th International Society for Music Information Retrieval (ISMIR) Conference. 364-370. Abstract
application/pdf icon246_Paper.pdf
Purwins, H., & Hardoon D. (2009).  Trends and Perspectives in Music Cognition Research and Technology. Connection Science. 21(2-3), 85-88. 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
Amatriain, X., & Herrera P. (2002).  Transmitting Audio Content as Sound Objects. Abstract
Holzapfel, A., Krebs F., & Srinivasamurthy A. (2014).  Tracking the "odd": meter inference in a culturally diverse music corpus. 15th International Society for Music Information Retrieval (ISMIR) Conference. 425-430. Abstract
application/pdf iconHolzapfel_TrackingTheOdd.pdf
Nuanáin, C. Ó., Jordà S., & Herrera P. (2016).  Towards User-Tailored Creative Applications of Concatenative Synthesis in Electronic Dance Music. 4th International Workshop on Musical Metacreation (MUME 2016). Abstract
Herrero, G. (2014).  Towards supervised music structure annotation: a case-based fusion approach. Abstract
application/pdf iconGiacomo-Herrero-Master-Thesis-2014.pdf
Herrera, P., Amatriain X., Batlle E., & Serra X. (2000).  Towards Instrument Segmentation for Music Content Description a Critical Review of Instrument Classification Techniques. International Conference on Music Information Retrieval. Abstract
Ricard, J., & Herrera P. (2003).  Towards computational morphological sound description. Musicnetwork Workshop - IRCAM Ressonances.
Guaus, E., & Herrera P. (2006).  Towards better automatic genre classifiers by means of understanding human decisions on genre discrimination. International Conference on Music Perception and Cognition. 326-327. Abstract
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