Biblio

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Huber, S. (2009).  Harmonic Audio Object Processing in Frequency Domain. Abstract
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
Holzapfel, A., & Bozkurt B. (2012).  Metrical Strength and Contradiction in Turkish Makam Music. 2nd CompMusic Workshop.
application/pdf icon2012_2_CMW_Holzapfel_Bozkurt.pdf
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
Holzapfel, A., Davies M. E. P., Zapata J. R., Oliveira J., & Gouyon F. (2012).  On the automatic identification of difficult examples for beat tracking: towards building new evaluation datasets. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 89-92. Abstract
Holzapfel, A., Şimşekli U., Şentürk S., & Cemgil A. T. (2015).  Section-level Modeling of Musical Audio for Linking Performances to Scores in Turkish Makam Music. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 141-145. Abstract
application/pdf iconpost-print
Holzapfel, A., Davies M. E. P., Zapata J. R., Oliveira J., & Gouyon F. (2012).  Selective sampling for beat tracking evaluation. IEEE Transactions on Audio Speech and Language Processing. Abstract
application/pdf iconHolzapfelEtAl12-taslp.pdf
Holonowicz, P., & Herrera P. (2010).  Detection of polyphonic music note onsets by application of the Bayesian Theory of Surprise. ISCA Tutorial and Research Workshop on Statistical And Perceptual Audition. Abstract
Holonowicz, P., Herrera P., & Purwins H. (2009).  The Role of Loudness in Detection of Surprising Events in Music Recordings. 7th Triennial Conference of European Society for the Cognitive Sciences of Music (ESCOM), 2009. Abstract
Hinojosa, R. (2003).  Some Projects and Reflections on Algorithmic Music. Abstract
Hinojosa, R. (2003).  Some Projects and Reflections on Algorithmic Music.. Springer Verlag. Lecture Notes in Computer Science (LNCS) Series. 2771, Abstract
Hinojosa, R. (2003).  Realtime Algorithmic Music Systems From Fractals and Chaotic Functions Toward an Active Musical Instrument. Abstract
Hidalgo, J. (2012).  Low Latency Audio Source Separation for Speech Enhancement in Cochlear Implants. Abstract
application/pdf iconJordi-Hidalgo-Master-Thesis-2012.pdf
Hespanhol, N. (2014).  Automatic Classi cation of Musical Sounds in the context of Freesound. Abstract
application/pdf iconNuno-Hespanhol-Master-Thesis-2014.pdf
Herrero, G. (2014).  Towards supervised music structure annotation: a case-based fusion approach. Abstract
application/pdf iconGiacomo-Herrero-Master-Thesis-2014.pdf
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
Herrera, P. (2002).  Setting Up an Audio Database for Music Information Retrieval Benchmarking. Abstract
Herrera, P., & Loureiro R. (1996).  Comprensión de escenarios sonoros.
Herrera, P., & Gómez E. (2011).  Tecnologías para el análisis del contenido musical de archivos sonoros y para la generación de nuevos metadatos. Boletín de la Asocación Española de Documentación Musical. 14, 28-38. Abstract
Herrera, P. (1996).  Síntesi Musical Expressiva. Abstract
Herrera, P., Resa Z., & Sordo M. (2010).  Rocking around the clock eight days a week: an exploration of temporal patterns of music listening. 1st Workshop On Music Recommendation And Discovery (WOMRAD), ACM RecSys, 2010, Barcelona, Spain. Abstract
application/pdf iconwomrad2010_submission_16.pdf
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
Herrera, P., & Gouyon F. (2013).  MIRrors: Music Information Research reflects on its future. Journal of Intelligent Information Systems. 41(3), 339-343.
Herrera, P., Yeterian A., & Gouyon F. (2002).  Automatic classification of drum sounds a comparison of feature selection methods and classification techniques. International Conference on Music and Artificial Intelligence (ICMAI). Abstract
Herrera, P., Klapuri A., & Davy M. (2006).  Automatic Classification of Pitched Musical Instrument Sounds. (Anssi Klapuri, Davy, M., Ed.).Signal Processing Methods for Music Transcription. Abstract
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