Biblio

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Maestre, E., Scavone G., & Smith J. (2013).  Digital Modeling of Bridge Driving-Point Admittances from Measurements on Violin-Family Instruments. Stockholm Music Acoustics Conference 2013 & Sound and Music Computing Conference 2013. Abstract
application/pdf iconsmac_adm_2013_v3.pdf
Jordà, S. (2005).  Digital Lutherie Crafting musical computers for new musics' performance and improvisation. Department of Information and Communication Technologies. Abstract
Jordà, S. (2004).  Digital Instruments and Players Part II: Diversity, Freedom and Control. International Computer Music Conference. Abstract
Jordà, S. (2004).  Digital Instruments and Players Part I – Efficiency and Apprenticeship. Abstract
Bucci, A. (2011).  Digital Equalization of the electric violin: Method for obtaining violin body impulse response based on machine bowing. Abstract
application/pdf iconBuccci-Andres-Master-thesis-2011.pdf
Martorell, A. (2015).  Digital encodings of early music: usability factors for computational analysis. International Workshop on Musicology and Informatics in Dialogue. 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
Salselas, I., & Herrera P. (2010).  Development of Perception and Representation of Rhythmic Information: Towards a Computational Model. 2010 IEEE 9th International Conference on Development and Learning. Abstract
application/pdf iconDevelopment of Perception and Representation of Rhythmic Information.pdf
Salselas, I., Hazan A., Herrera P., & Purwins H. (2008).  The Development of Melodic Representations at Early Age: Towards a Computational Model.. Music, Language and the Mind 2008. Abstract
Salselas, I. (2007).  The Development of Melodic Representations at Early Age Facts Towards a Computational Model. Abstract
Gupta, R. (2019).  Development of Listenership for Indian Hindustani Music By Using Mimetic Comprehension. Abstract
Nogueira, W., Gajęcki T., Krüger B., Janer J., & Büchner A. (2016).  Development of a Sound Coding Strategy based on a Deep Recurrent Neural Network for Monaural Source Separation in Cochlear Implants. 12th ITG conference on Speech Communication. Abstract
Amatriain, X., & Arumí P. (2005).  Developing Cross-platform Audio and Music Applications with the CLAM Framework. Abstract
Dimitrov, S., Alonso M., & Serafin S. (2008).  Developing block-movement, physical-model based objects for the Reactable. NIME08. Abstract
Streich, S., & Herrera P. (2005).  Detrended Fluctuation Analysis of Music Signals Danceability Estimation and further Semantic Characterization. AES 118th Convention. Abstract
Gouyon, F., & Herrera P. (2003).  Determination of the Meter of musical audio signals Seeking recurrences in beat segment descriptors. Abstract
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
Román Echeverri, C. G. (2011).  Detection of genre-specific musical instruments: The case of the mellotron. Abstract
application/pdf iconRoman-Carlos-Master-thesis-2011.pdf
Gouyon, F. (1999).  Detection and Modeling of transient regions in musical signals. Abstract
Fuhrmann, F., Herrera P., & Serra X. (2009).  Detecting Solo Phrases in Music using Spectral and Pitch-related Descriptors. Journal of New Music Research. 38(4), 343 - 356. Abstract
Haro, G. G. (2008).  Detecting and Describing Percussive Events in Polyphonic Music. Abstract
Pons, J., & Serra X. (2017).  Designing Efficient Architectures for Modeling Temporal Features with Convolutional Neural Networks. 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) . Abstract
Casanovas, O. (2012).  Design of a nonlinear music playback system for nonprogrammer musicians. Abstract
San Agustín, A. (2008).  Design and implementation of new communication channels between public and an artistic performance. Abstract
Bencina, R., & Kaltenbrunner M. (2005).  The Design and Evolution of Fiducials for the reacTIVision System. Abstract
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