Biblio

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Machado Rocha, B. M. (2011).  Genre Classification based on Predominant Melodic Pitch Contours. Abstract
application/pdf iconRocha-Bruno-Master-thesis-2011.pdf
Macias, B. (1998).  SMS3d: An application for the visualization of SMS data. International Conference on Digital Audio Effects. Abstract
Macias, B. (1999).  Visualización 3D de la modelización sinusoidal más residual del sonido. Abstract
Maestre, E. (2006).  Coding Instrumental Gestures. Towards a quantitative description of instrumental gestures in excitation-continuous musical instruments. Abstract
Maestre, E., Bonada J., Blaauw M., Pérez A., & Guaus E. (2007).  Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference. Abstract
Maestre, E., Pérez A., & Ramírez R. (2010).  Gesture sampling for instrumental sound synthesis: violin bowing as a case study. International Computer Music Conference. Abstract
application/pdf iconicmc_maestre_perez_ramirez2010.pdf
Maestre, E. (2009).  Modeling instrumental gestures: an analysis/synthesis framework for violin bowing. Department of Information and Communication Technologies. Abstract
Maestre, E., & Gómez E. (2005).  Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention. Abstract
Maestre, E., Ramírez R., Kersten S., & Serra X. (2009).  Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings. Computer Music Journal. 33(4), 23-42. Abstract
Maestre, E., Bonada J., & Mayor O. (2006).  Modeling musical articulation gestures in singing voice performances. AES 121th Convention. Abstract
Maestre, E. (2009).  Statistical Modeling of Violin Bowing Parameter Contours. International Computer Music Conference. Abstract
Maestre, E., Hazan A., Ramírez R., & Pérez A. (2006).  Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference. Abstract
Maestre, E., & Ramírez R. (2010).  An approach to predicting bowing control parameter contours in violin performance. Intelligent Data Analysis. 14(5), 587-599.
Maestre, E., Blaauw M., Bonada J., Guaus E., & Pérez A. (2010).  Statistical Modeling of Bowing Control applied to Violin Sound Synthesis. IEEE Transactions on Audio, Speech, and Language Processing .
Marchini, M. (2010).  Unsupervised Generation of Percussion Sequences from a Sound Example. Abstract
Marchini, M., & Purwins H. (2010).  Unsupervised Generation of Percussion Sound Sequences from a Sound Example. Sound and Music Computing Conference. Abstract
application/pdf iconMarchiniPurwinsContinuationSMC2010Final.pdf
Marchini, M., Papiotis P., Maestre E., & Pérez A. (2011).  A hair ribbon deflection model for low-intrusiveness measurement of bow force in violin performance.. New Interfaces for Musical Creation (NIME 2011). Abstract
Marchini, M., & Purwins H. (2010).  An Unsupervised System for the Synthesis of Variations from Audio Percussion Patterns. 7th International Symposium on Computer Music Modeling and Retrieval (CMMR). 277-278. Abstract
application/pdf iconMarchiniPurwinsCMMR2010Demo.pdf
Marinescu, M., & Ramírez R. (2008).  Expressive Performance in the Human Tenor Voice. Sound and Music Computing Conference. Abstract
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
application/pdf icon20.pdf
Marques, G., Langlois T., Gouyon F., Lopes M., & Sordo M. (2011).  Short-term feature space and Music Genre Classification. Journal of New Music Research. 40(2), 127-137. Abstract
Marti, F., Lopez D., & Resina E. (1998).  Vocem An Application for Real-Time Granular Synthesis. Abstract
Martín, D. (2009).  Automatic accompaniment for improvised music. Abstract
Martínez, E. (2008).  Issues on Retrieval of Sound Effects in Large Collaborative Databases.
Martínez, E., Celma Ò., Sordo M., De Jong, B, & Serra X. (2009).  Extending the folksonomies of freesound.org using content-based audio analysis. Sound and Music Computing Conference. Abstract
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