References

* Baskind, A. (2003). Modèles et méthodes de description spatiale de scènes sonores. Applications aux enregistrements binauraux. PHD Thesis, Paris, France, University Paris 6.
* Cornelis, O., Lesaffre, M., Moelants, D., Leman, M. (2010). Access to ethnic music: advances and perspectives in content-based music information retrieval. Signal Processing, 90, pp. 1008-1031.
* EU Press Release (2008). See http://europa.eu/rapid/pressReleasesAction.do?reference=SPEECH/08/473
* d'Haes, W. and X. Rodet (2003). A New Estimation Technique for Determining the Control Parameters of a physical model of a trumpet. 6th International Conference on Digital Audio Effects (DAFx03), London, UK.
* Gaver, W., Bowers, J., Boucher, A., Law, A., and Pennington, S. (2007). Electronic furniture for the Curious Home: Assessing ludic designs in the field. International Journal of Human-Computer Interaction, 22(1-2): 119-152.
* Gómez, E., Herrera, P. (2008). Comparative Analysis of Music Recordings from Western and Non-Western traditions by Automatic Tonal Feature Extraction. Empirical Musicology Review 3(3), pp. 140-156.
* Gómez, E., Haro, M., Herrera, P. (2009). Music and geography: content description of musical audio from different parts of the world. Proceedings of the ISMIR 2009.
* Gribonval, R., H. Rauhut, et al. (2008). Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms. The Journal of Fourier Analysis and Applications, Springer-Verlag 14(5): 655-687.
* Hélie, T., B. D'Andréa-Novel, et al. (2008). Inverse problem: recovering the full-state of a simplified model of a trumpet-like instrument from the radiated pressure. Acoustics'08, Paris, France.
* Herrera, P., J. Serrà, C. Laurier, E. Guaus, E. Gómez, X. Serra (2009). The Discipline formerly known as MIR. 10th International Conference on Music Information Retrieval. Kobe, Japan.
* Huron, D. (2006). Sweet Anticipation: Music and the Psychology of Expectation. MIT Press / Bradford Books, Cambridge, MA.
* Jordà , S., Kaltenbrunner, M., Geiger, G. & Bencina, R. (2005c). The reacTable*. Proceedings of the International Computer Music Conference (ICM05).
* Jordà, S., Geiger, G., Alonso, M. & Kaltenbrunner, M. (2007). The reacTable: exploring the synergy between live music performance and tabletop tangible interfaces. TEI '07: Proceedings of the 1st international conference on Tangible and embedded interaction, 139-146.19 FP7-ICT-2011-7 CA Proposal: MIReS 69
* Julià, C. F. & Jordà, S. (2009). Songexplorer: a tabletop application for exploring large collections of songs. Proceedings of the International Society for Music Information Retrieval Conference (ISMIR’09), Kobe, Japan.
* Lartillot, O. (2004). Un système d'analyse musicale computationnelle suivant une modélisation cognitiviste de l'écoute. PHD Thesis, Paris, France, University Paris 6.
* Meudic, B. (2004). Détermination automatique de la pulsation, de la métrique et des motifs musicaux dans des interprétations à tempo variable d'oeuvres polyphoniques. PHD Thesis, University Paris 6, Paris, France.
* Magas, M, Stewart, R., and Fields, B. (2009). decibel 151: Collaborative Spatial Audio Interactive Environment. In ACM SIGGRAPH.
* Mauch, M. and S. Dixon (2010). Simultaneous Estimation of Chords and Musical Context From Audio. IEEE Transactions on Audio, Speech, and Language Processing 18(6): 1280-1289.
* Nouno, G. (2008). Suivi de Tempo Appliqué aux Musiques Improvisées. Paris, France, PHD Thesis, University Paris 6.
* Papadopoulos, H. and G. Peeters (2010). Joint Estimation of Chords and Downbeats From an Audio Signal. IEEE Transactions on Audio, Speech, and Language Processing 19(1): 138-152.
* Roy, D., Pappu, N., Prabhakar, T.V. (2004). Parichaykrama – An Exploratory Interface of Indian Classical Music Using Experiential Framework. CMMR 2004, LNCS 3310, pp. 359-370.
* Sengers, P. and Gaver, B. (2006). Staying Open to Interpretation: Engaging Multiple Meanings in Design and Evaluation. Proceedings of the 6th conference on Designing Interactive Systems.
* Pampalk, E. (2001). Islands of music: Analysis, organization, and visualization of music archives. MSc thesis, Vienna University of Technology.
* Shazam press release 6 December 2010 (http://www.shazam.com/music/web/newsdetail.html?nid=NEWS20101206124027)
* Stein, M. (2010). Automatic Detection of Multiple, Cascaded Audio Effects in Guitar Recordings. Proc. of DAFX, Graz, Austria.
* Tzanetakis, G., A. Kapur, W. A. Schloss, and M. Wright (2007). Computational ethnomusicology. Journal of Interdisciplinary Music Studies, vol. 1, no. 2, pp. 1–24.
* Wiggins, G. A. (2009b). Semantic Gap?? Schemantic Schmap!! Methodological considerations in the scientific study of music. In Proceedings of 11th IEEE International Symposium on Multimedia, pp. 477–482.