Esteban Maestre

THESIS

Modeling Instrumental Gestures: an Analysis/Synthesis Framework for Violin Bowing
PhD Thesis, Universitat Pompeu Fabra, 2009.
Advisors: Xavier Serra (Universitat Pompeu Fabra) and Julius O. Smith III (Stanford University).

Coding Instrumental Gestures: Towards a Quantitative Description of Instrumental Gestures in
Excitation-Continuous Musical Instruments
DEA Thesis, Universitat Pompeu Fabra, 2006.
Advisor: Xavier Serra (Universitat Pompeu Fabra)

PEER-REVIEWED JOURNAL PAPER

Vigliensoni, G., McCallum, L., Maestre, E., Fiebrink, R. R-VAE: Live latent space drum rhythm generation from minimal-sized atasets. Journal of Creative Music Systems. 2022

Maestre, E., Scavone, G.P., Smith, J.O. State-space modeling of sound source directivity: an experimental study of the violin and the clarinet. Journal of the Acoustical Society of America, 2021.

Song, W., Maestre, E., Scavone, G.P. Acoustical Modeling of the Saxophone Mouthpiece Using the Transfer Matrix Method. Journal of the Acoustical Society of America, 2021.

Maestre, E. Análisis-síntesis de control de arco para simulación de violín por modelado físico. Sonograma Magazine, Vol.38, 2018

Maestre, E., Papiotis, P., Marchini, M., Llimona, Q., Mayor, O., Pérez, A., Wanderley, M. Enriched multimodal representations of music performances: online access and visualization. IEEE Multimedia, Vol. 25, No. 1, pp 24-34, 2017.

Maestre, E., Scavone, G.P., Smith, J.O. Joint modeling of bridge admittance and body radiativity for effcient synthesis of string instrument sound by digital waveguides. IEEE Transacions on Audio, Speech, and Language Processing, Vol. 25, No. 5, pp 1128-1139, 2017.

Maestre, E., Scavone, G.P., Smith, J.O. Design of recursive digital filters in parallel form by linearly constrained pole optimization. IEEE Signal Processing Letters, Vol. 23, No. 11, pp 1547-1550, 2016.

Papiotis, P., Marchini, M., Pérez, A., Maestre, E. Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data, Frontiers in Psychology, Vol. 5, 2014.

Marchini, M., Ramírez, R., Papiotis, P., Maestre, E. The sense of ensemble: a machine learning approach to expressive performance Modeling in String Quartets, Journal of New Music Research, Vol. 43, No. 3, pp 303-317, 2014.

Ramírez, R., Maestre, E., Serra, X. A Rule-Based Evolutionary Approach to Music Performance Modeling. IEEE Transactions on Evolutionary Computation, Vol. 16, no.1, pp 96-107, 2012.

Pérez, A., Bonada, J., Maestre, E., Blaauw, M., Guaus, E. Performance Control driven Violin Timbre Model based on Neural Networks. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 20, No. 3, pp 1007-1021, 2012.

Ramírez, R., Maestre, E., Pérez, A., Serra, X. Automatic Performer Identification in celtic violin audio recordings. Journal of New Music Research, Vol. 40, no. 2, pp. 165-174, 2011.

Maestre, E., Ramírez, R. An approach to predicting bowing control parameter contours in violin performance, Intelligent Data Analysis, Vol. 15, No. 4, pp. 587-599, 2010.

Ramírez, R., Maestre, E., Serra, X. Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters, Vol. 31, pp. 1514-1523, 2010.

Maestre, E., Blaauw, M., Bonada, J., Guaus, E., Pérez, A. Statistical modeling of bowing control applied to violin sound synthesis. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 18, No. 4, pp. 855-871, 2010.

Maestre, E., Ramírez, R., Kersten, S., Serra, X. Expressive concatenative synthesis by reusing samples from real performance recordings. Computer Music Journal, Vol. 33, No. 4, pp. 23-42, 2009.

Ramírez, R., Hazan, A., Maestre, E., Serra, X. A genetic rule-based expressive performance model for Jazz saxophone. Computer Music Journal, Vol. 32, No. 1, pp. 38-50, 2008.

Ramírez, R., Maestre, E., Pertusa, A., Gómez, E., Serra, X. Performance-based interpreter identification in saxophone audio recordings. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 17, No. 3, pp. 356-364, 2007.

Ramírez, R., Hazan, A., Gómez, E., Maestre, E., Serra, X. Discovering expressive transformation rules from saxophone Jazz performances. Journal of New Music Research, Vol. 34, No. 4, pp. 319-330, 2005.

CHAPTER / COLLECTION

Papiotis, P., Marchini, M., Maestre, E., Pérez, A. Measuring Ensemble Synchrony through Violin Performance Parameters", Intelligent Technologies for Interactive Entertainment, Vol. 78. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. A. Camurri and C. Costa (Eds.), Sringer, 2012.

Ramírez, R., Maestre, E., Pérez, A. Modeling, Analyzing, Identifying, and Synthesizing Expressive Popular Music Performances, Guide to Computing for Expressive Music Performance. A. Kirke and E.R. Miranda (Eds.), Sringer-Verlag, London, 2012.

Janer, J., Maestre, E. Mapping phonetic features for voice-driven sound synthesis. E-business and Telecommunication. J. Filipe and M.S. Obaidat (Eds.), Springer, Berlin-Heidelberg, 2009.

Ramírez, R., Hazan, A., Maestre, E., Serra, X. A machine learning approach to expressive performance in jazz standards. Multimedia Data Mining and Knowledge Discovery. V. A. Petrushin and L. Khan (Eds.), Springer, London, 2007.

Ramírez, R., Gómez, E., Vicente, V., Puiggròs, M., Hazan, A., Maestre, E. Modeling expressive music performance in bassoon audio recordings. Intelligent Computing in Signal Processing and Pattern Recognition. D. Huang, K. Li, and G. W. Irwin (Eds.), Springer-Verlag, New York, 2006.

PEER-REVIEWED CONFERENCE PAPER / WORKSHOP PRESENTATION

Wang, S., Maestre, E. and Scavone, G. “Lattice Boltzmann modeling of a single-reed instrument using a time-domain impedance boundary condition.” Fourth Vienna Talk on Music Acoustics, 2022.

Wang, S., Maestre, E., Scavone, G. Two methods for acoustic modeling of the saxophone mouthpiece. Journal of the Acoustical Society of America, 2020.

Vigliensoni, G., McCallum L., Maestre, E., and Fiebrink, R. Generation and visualization of rhythmic latent spaces. Proceedings of the Joint Conference on Artificial Intelligence and Music Creativity, 2020.

Vigliensoni, G., Maestre, E. and Fiebrink, R. Web-based dynamic visualization of rhythmic latent spaces. Proceedings of the Sound, Image and Interaction Design Symposium, 2020.

Maestre, E., Scavone, G. P., Smith, J.O. Virtual acoustic rendering by state wave synthesis. EAA Spatial Audio Signal Processing Symposium, 2019.

Maestre, E., Scavone, G. P. Creating virtual acoustic replicas of real violins. International Symposium on Music Acoustics, 2019.

Maestre, E., Scavone, G. P., Smith, J.O. Efficient rendering of saxophone sound by modal synthesis and wave scattering. 176th Meeting of the Acoustical Society of America, 2018.

Maestre, E., Scavone, G. P., Smith, J.O. Joint modeling of impedance and radiation as a recursive parallel filter structure for efficient synthesis of wind instrument sound. International Conference on Digital Audio Effects, 2018.

Maestre, E., Smith, J.O., Scavone, G. P. Analysis-synthesis of saxophone input impedances via recursive parallel filters. International Symposium on Musical Acoustics, 2017.

Rau, M. Maestre, E., Smith, J.O., Scavone, G. P. An exploration of guitar neck admittance measurements taken at different string stopping locations. International Symposium on Musical Acoustics, 2017.

Chafe, C., Maestre, E., Sarti, A., Canclini, A., Scavone, G. P., Smith, J.O., Antonacci, F. The return of the Messiah: modal analysis and bridge admittance modeling. International Symposium on MusicalAcoustics, 2017.

Llimona, Q., Saitis, C., Maestre, E., Scavone, G. P. Exploring simulation-based playability metrics of 9 perceptually evaluated violins. International Symposium on Musical Acoustics, 2017.

Maestre, E., Scavone, G. P. Experimental modal analysis/synthesis of saxophone input impedances. 5th Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan, 2016.

Maestre, E., Scavone, G. P., Smith, J.O. Digital modeling of string instrument bridge reflectance and body radiativity for sound synthesis by digital waveguides. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015.

Maestre, E., Spa, C., Llimona, Q., Scavone, G. P., Smith, J.O. Playability of a bowed string physical model including finite-width thermal friction and hair dynamics. 170th Meeting of the Acoustical Society of America, 2015.

Llimona, Q., Mayor, O., Papiotis, P., Maestre, E. Repovizz: multimodal online database and visualization tool. 1st Web Audio Conference, 2015

Maestre, E., Spa, C., Smith, J.O. A bowed-string physical model including finite-width thermal friciton and hair dynamics. International Computer Music Conference, 2014.

Maestre, E., Scavone, G.P., Smith, J.O. Digital modeling of bridge driving-point admittances from measurements on violin-family instruments. Sotckholm Music Acoustics Conference, 2013.

Maestre, E. Analysis/synthesis of bowing control applied to violin sound rendering via physical models. International Congress on Acoustics / Proceedings of Meetings of Acoustics, 2013.

Papiotis, P., Marchini, M., Maestre, E. Multidimensional analysis of interdependence in a string quartet. International Symposium on Performance Science, 2013.

Marchini, M., Papiotis, P., Maestre, E. Investigating the relationship between expressivity and synchronization in ensemble performance: an exploratory study. International Symposium on Performance Science, 2013

Papiotis, P., Marchini, M., Herrera, P. Maestre, E. Aural-based detection and assessment of real versus artificially synchronized string quartet performance. International Conference on Music and Emotion, 2013.

Marchini, M., Ramírez, R., Papiotis, P., Maestre, E. Inducing Rules of Ensemble Music Performance: a Machine Learning Approach. International Conference on Music and Emotion, 2013.

Papiotis, P., Marchini, M., Maestre, E. Computational Analysis of Solo versus Ensemble Performance in String Quartets: Intonation and Dynamics. International Conference on Music Perception and Cognition, 2012.

Marchini, M., Papiotis, P., Maestre, E. Timing Synchronization in String Quartet Performance: a Preliminary Study. International Symposium on Computer Music Modeling and Retrieval, 2012.

Maestre, E., Scavone, G. P., Smith III, J. O. Modeling of a violin input admittance by direct positioning of second-order resonators. 162nd Meeting of the Acoustical Society of America (ASA), 2011.

Maestre, E. Synthesis of bowing controls applied to violin sound generation. 162nd Meeting of the Acoustical Society of America (ASA), 2011.

Mayor, O., Llop, J., Maestre, E. RepoVizz: A multi-modal on-line database and browsing tool for music performance research. International Symposium on Music Information Retrieval (ISMIR), 2011.

Vinceslas, L., García, F., Pérez, A., Maestre, E. Mapping blowing pressure and sound features in recorder playing. International Conference on Digital Audio Effects (DAFX), 2011.

Papiotis, P., Marchini M., Pérez, A., Maestre, E., Andrzejak, R. Synchronization of intonation adjustments in violin duets: towards an objective evaluation of musical interaction. International Conference on Digital Audio Effects (DAFX), 2011.

Marchini, M., Papiotis P., Pérez, A., Maestre, E. A Hair Ribbon Deflection Model for Low-Intrusiveness Measurement of Bow Force in Violin Performance. International Symposium on New Interfaces for Musical Expression (NIME), 2011.

García, F., Vinceslas L., Maestre, E., Tubau, J. Acquisition and study of blowing pressure profiles in recorder playing. International Symposium on New Interfaces for Musical Expression (NIME), 2011.

Papiotis, P., Marchini, M., Maestre, E., Pérez, A. Measuring ensemble synchrony through violin performance parameters: a preliminary progress report. Intetain Workshop on Social Behavior in Music, 2011.

Coleman, G., Bonada J., Maestre, E. Adding dynamic smoothing to mixture mosaicing synthesis. Workshop on Signal Processing with Adaptive Sparse Structure Representations (SPARS), 2011.

Villavicencio, F., Maestre E. GMM-PCA based speaker-timbre conversion on full-quality speech. Speech Synthesis Workshop (INTERSPEECH), 2010.

Coleman, G., Maestre, E., Bonada, J. Augmenting sound mosaicing with descriptor-driven transformation. International Conference on Digital Audio Effects (DAFX), 2010.

Ramírez, R., Neocleous, A., Pérez, A., Maestre, E. Modeling emotions in violin audio recordings. ACM Workshop on Music and Machine Learning (ACM-MML), 2010.

Maestre, E., Pérez, A., Ramírez, R. Gesture sampling for instrumental sound synthesis: violin bowing as a case study. International Computer Music Conference (ICMC), 2010.

Ramírez, R., Maestre, E. A framework for performer identification in audio recordings. ACM Workshop on Machine Learning and Music (ACM-MML), 2009.

Guaus, E., Bonada, J., Maestre, E., Pérez, A., Blaauw, M. Calibration method to accurately measure bow force in real violin performances. International Computer Music Conference (ICMC), 2009.

Camurri, A., Bevilacqua, F., Bresin, R., Maestre, E., Penttinen, H., Seppänen, J., Välimäki, V., Volpe, G., Warusfel, O. Embodied music listening and making in context-aware mobile applications: the EU-ICT SAME Project. International Gesture Workshop, 2009.

Maestre, E. Statistical modeling of violin bowing parameter contours. International Computer Music Conference (ICMC), 2009.

Camurri, A., Volpe, G., Vinet, H., Bresin, R., Maestre, E., Llop, J., Kleimola, J., Oksanen, S., Välimäki, V., Seppänen, J. User-centric context-aware mobile applications for embodied music listening. International ICST Conference on User Centric Media, 2009.

Kersten, S., Maestre, E., Ramírez, R. Concatenative synthesis of expressive saxophone performance. Sound and Music Computing Conference (SMC), 2008.

Pérez, A., Maestre, E., Ramírez, R., Kersten, S. Expressive Irish fiddle performance model informed with bowing. International Computer Music Conference (ICMC), 2008.

Pérez, A., Bonada, J., Maestre, E., Guaus, E., Blaauw, M. Measuring violin sound radiation for sound equalization. ACOUSTICS, 2008.

Ramírez, R., Pérez, A., Maestre, E., Kersten, E., Rizo, D., Román, P., Iñesta, J.M. Modeling celtic violin expressive performance. International Conference on Machine Learning (ICML), 2008.

Ramírez, R., Pérez, A., Kersten, S., Maestre, E. Performer identification in celtic violin recordings. International Society for Music Information Retrieval Conference (ISMIR), 2008.

Pérez, A., Bonada, J., Maestre, E., Guaus, E., Blaauw, M. Score Level Timbre Transformations of Violin Sounds. International Conference on Digital Audio Effects (DAFX), 2008.

Maestre, E., Bonada, J., Blaauw, M., Pérez, A., Guaus, E. Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference (ICMC), 2007.

Jensenius, A., Castagné, N., Camurri, A., Maestre, E., Malloch, J., McGilvray, D. A summary of formats for streaming and storing music-related movement and gesture data. International Conference on Enactive Interfaces (ENACTIVE), 2007.

Pérez, A., Bonada, J., Maestre, E., Guaus, E., Blaauw, M. Combining performance actions with spectral models for violin sound transformation. International Congress on Acoustics (ICA), 2007.

Ramírez, R., Maestre, E., Pertusa, A. Identifying saxophonists from their playing styles. AES 30th Conference, 2007.

Guaus, E., Bonada, J., Pérez, A., Maestre, E., Blaauw, M. Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics (ISMA), 2007.

Pérez, A., Maestre, E., Ramírez, R. Modeling expressive performance in classical violin. Digital Music Research Network Workshop, 2007.

Kersten, S., Maestre, E., Ramírez, R. Modeling and synthesis of expressive performance. Digital Music esearch Network Workshop, 2007.

Janer, J., Maestre, E. Phonetic-based mappings in voice-driven sound synthesis. International Conference on Signal Processing and Multimedia Applications, 2007.

Jensenius, A., Camurri, A., Castagné, N., Maestre, E., Malloch, J., McGilvray, D., Schwarz, D., Wright, M. The need of formats for streaming and storing music-related movement and gesture data. International Computer Music Conference, 2007.

Ramírez, R., Hazan, A., Maestre, E. A sequential covering evolutionary algorithm for expressive music performance. Conference on Innovative Applications of Articial Intelligence, 2006.

Hazan, A., Ramírez, R., Maestre, E., Pérez, A., Pertusa, A. Modeling expressive performance: a regression tree approach based on strongly typed genetic programming. European Workshop on Evolutionary Music and Art, 2006.

Maestre, E., Bonada, J., Mayor, O. Modeling musical articulation gestures in singing voice performances. AES 121th Convention, 2006.

Maestre, E., Hazan, A., Ramírez, R., Pérez, A. Using concatenative synthesis for expressive performance in Jazz saxophone. International Computer Music Conference (ICMC), 2006.

Maestre, E., Gómez, E. Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention, 2005.

Ramírez, R., Hazan, A., Maestre, E. Intra-note features prediction model for jazz saxophone performance. International Computer Music Conference (ICMC), 2005.

Ramírez, R., Hazan, A., Gómez, E., Maestre, E. A machine learning approach to expressive performance in Jazz standards. ACM International Conference on Knowledge Discovery and Data Mining (ACM-KDDM), 2004.

Ramírez, R., Hazan, A., Gómez, E., Maestre, E. Understanding expressive transformations in saxophone Jazz performances using inductive machine learning, Sound and Music Computing Conference (SMC), 2004.

ESTEBAN MAESTRE
home bio research publications résumé	THESIS Modeling Instrumental Gestures: an Analysis/Synthesis Framework for Violin Bowing PhD Thesis, Universitat Pompeu Fabra, 2009. Advisors: Xavier Serra (Universitat Pompeu Fabra) and Julius O. Smith III (Stanford University). Coding Instrumental Gestures: Towards a Quantitative Description of Instrumental Gestures in Excitation-Continuous Musical Instruments DEA Thesis, Universitat Pompeu Fabra, 2006. Advisor: Xavier Serra (Universitat Pompeu Fabra) PEER-REVIEWED JOURNAL PAPER Vigliensoni, G., McCallum, L., Maestre, E., Fiebrink, R. R-VAE: Live latent space drum rhythm generation from minimal-sized atasets. Journal of Creative Music Systems. 2022 Maestre, E., Scavone, G.P., Smith, J.O. State-space modeling of sound source directivity: an experimental study of the violin and the clarinet. Journal of the Acoustical Society of America, 2021. Song, W., Maestre, E., Scavone, G.P. Acoustical Modeling of the Saxophone Mouthpiece Using the Transfer Matrix Method. Journal of the Acoustical Society of America, 2021. Maestre, E. Análisis-síntesis de control de arco para simulación de violín por modelado físico. Sonograma Magazine, Vol.38, 2018 Maestre, E., Papiotis, P., Marchini, M., Llimona, Q., Mayor, O., Pérez, A., Wanderley, M. Enriched multimodal representations of music performances: online access and visualization. IEEE Multimedia, Vol. 25, No. 1, pp 24-34, 2017. Maestre, E., Scavone, G.P., Smith, J.O. Joint modeling of bridge admittance and body radiativity for effcient synthesis of string instrument sound by digital waveguides. IEEE Transacions on Audio, Speech, and Language Processing, Vol. 25, No. 5, pp 1128-1139, 2017. Maestre, E., Scavone, G.P., Smith, J.O. Design of recursive digital filters in parallel form by linearly constrained pole optimization. IEEE Signal Processing Letters, Vol. 23, No. 11, pp 1547-1550, 2016. Papiotis, P., Marchini, M., Pérez, A., Maestre, E. Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data, Frontiers in Psychology, Vol. 5, 2014. Marchini, M., Ramírez, R., Papiotis, P., Maestre, E. The sense of ensemble: a machine learning approach to expressive performance Modeling in String Quartets, Journal of New Music Research, Vol. 43, No. 3, pp 303-317, 2014. Ramírez, R., Maestre, E., Serra, X. A Rule-Based Evolutionary Approach to Music Performance Modeling. IEEE Transactions on Evolutionary Computation, Vol. 16, no.1, pp 96-107, 2012. Pérez, A., Bonada, J., Maestre, E., Blaauw, M., Guaus, E. Performance Control driven Violin Timbre Model based on Neural Networks. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 20, No. 3, pp 1007-1021, 2012. Ramírez, R., Maestre, E., Pérez, A., Serra, X. Automatic Performer Identification in celtic violin audio recordings. Journal of New Music Research, Vol. 40, no. 2, pp. 165-174, 2011. Maestre, E., Ramírez, R. An approach to predicting bowing control parameter contours in violin performance, Intelligent Data Analysis, Vol. 15, No. 4, pp. 587-599, 2010. Ramírez, R., Maestre, E., Serra, X. Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters, Vol. 31, pp. 1514-1523, 2010. Maestre, E., Blaauw, M., Bonada, J., Guaus, E., Pérez, A. Statistical modeling of bowing control applied to violin sound synthesis. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 18, No. 4, pp. 855-871, 2010. Maestre, E., Ramírez, R., Kersten, S., Serra, X. Expressive concatenative synthesis by reusing samples from real performance recordings. Computer Music Journal, Vol. 33, No. 4, pp. 23-42, 2009. Ramírez, R., Hazan, A., Maestre, E., Serra, X. A genetic rule-based expressive performance model for Jazz saxophone. Computer Music Journal, Vol. 32, No. 1, pp. 38-50, 2008. Ramírez, R., Maestre, E., Pertusa, A., Gómez, E., Serra, X. Performance-based interpreter identification in saxophone audio recordings. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 17, No. 3, pp. 356-364, 2007. Ramírez, R., Hazan, A., Gómez, E., Maestre, E., Serra, X. Discovering expressive transformation rules from saxophone Jazz performances. Journal of New Music Research, Vol. 34, No. 4, pp. 319-330, 2005. CHAPTER / COLLECTION Papiotis, P., Marchini, M., Maestre, E., Pérez, A. Measuring Ensemble Synchrony through Violin Performance Parameters", Intelligent Technologies for Interactive Entertainment, Vol. 78. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. A. Camurri and C. Costa (Eds.), Sringer, 2012. Ramírez, R., Maestre, E., Pérez, A. Modeling, Analyzing, Identifying, and Synthesizing Expressive Popular Music Performances, Guide to Computing for Expressive Music Performance. A. Kirke and E.R. Miranda (Eds.), Sringer-Verlag, London, 2012. Janer, J., Maestre, E. Mapping phonetic features for voice-driven sound synthesis. E-business and Telecommunication. J. Filipe and M.S. Obaidat (Eds.), Springer, Berlin-Heidelberg, 2009. Ramírez, R., Hazan, A., Maestre, E., Serra, X. A machine learning approach to expressive performance in jazz standards. Multimedia Data Mining and Knowledge Discovery. V. A. Petrushin and L. Khan (Eds.), Springer, London, 2007. Ramírez, R., Gómez, E., Vicente, V., Puiggròs, M., Hazan, A., Maestre, E. Modeling expressive music performance in bassoon audio recordings. Intelligent Computing in Signal Processing and Pattern Recognition. D. Huang, K. Li, and G. W. Irwin (Eds.), Springer-Verlag, New York, 2006. PEER-REVIEWED CONFERENCE PAPER / WORKSHOP PRESENTATION Wang, S., Maestre, E. and Scavone, G. “Lattice Boltzmann modeling of a single-reed instrument using a time-domain impedance boundary condition.” Fourth Vienna Talk on Music Acoustics, 2022. Wang, S., Maestre, E., Scavone, G. Two methods for acoustic modeling of the saxophone mouthpiece. Journal of the Acoustical Society of America, 2020. Vigliensoni, G., McCallum L., Maestre, E., and Fiebrink, R. Generation and visualization of rhythmic latent spaces. Proceedings of the Joint Conference on Artificial Intelligence and Music Creativity, 2020. Vigliensoni, G., Maestre, E. and Fiebrink, R. Web-based dynamic visualization of rhythmic latent spaces. Proceedings of the Sound, Image and Interaction Design Symposium, 2020. Maestre, E., Scavone, G. P., Smith, J.O. Virtual acoustic rendering by state wave synthesis. EAA Spatial Audio Signal Processing Symposium, 2019. Maestre, E., Scavone, G. P. Creating virtual acoustic replicas of real violins. International Symposium on Music Acoustics, 2019. Maestre, E., Scavone, G. P., Smith, J.O. Efficient rendering of saxophone sound by modal synthesis and wave scattering. 176th Meeting of the Acoustical Society of America, 2018. Maestre, E., Scavone, G. P., Smith, J.O. Joint modeling of impedance and radiation as a recursive parallel filter structure for efficient synthesis of wind instrument sound. International Conference on Digital Audio Effects, 2018. Maestre, E., Smith, J.O., Scavone, G. P. Analysis-synthesis of saxophone input impedances via recursive parallel filters. International Symposium on Musical Acoustics, 2017. Rau, M. Maestre, E., Smith, J.O., Scavone, G. P. An exploration of guitar neck admittance measurements taken at different string stopping locations. International Symposium on Musical Acoustics, 2017. Chafe, C., Maestre, E., Sarti, A., Canclini, A., Scavone, G. P., Smith, J.O., Antonacci, F. The return of the Messiah: modal analysis and bridge admittance modeling. International Symposium on MusicalAcoustics, 2017. Llimona, Q., Saitis, C., Maestre, E., Scavone, G. P. Exploring simulation-based playability metrics of 9 perceptually evaluated violins. International Symposium on Musical Acoustics, 2017. Maestre, E., Scavone, G. P. Experimental modal analysis/synthesis of saxophone input impedances. 5th Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan, 2016. Maestre, E., Scavone, G. P., Smith, J.O. Digital modeling of string instrument bridge reflectance and body radiativity for sound synthesis by digital waveguides. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015. Maestre, E., Spa, C., Llimona, Q., Scavone, G. P., Smith, J.O. Playability of a bowed string physical model including finite-width thermal friction and hair dynamics. 170th Meeting of the Acoustical Society of America, 2015. Llimona, Q., Mayor, O., Papiotis, P., Maestre, E. Repovizz: multimodal online database and visualization tool. 1st Web Audio Conference, 2015 Maestre, E., Spa, C., Smith, J.O. A bowed-string physical model including finite-width thermal friciton and hair dynamics. International Computer Music Conference, 2014. Maestre, E., Scavone, G.P., Smith, J.O. Digital modeling of bridge driving-point admittances from measurements on violin-family instruments. Sotckholm Music Acoustics Conference, 2013. Maestre, E. Analysis/synthesis of bowing control applied to violin sound rendering via physical models. International Congress on Acoustics / Proceedings of Meetings of Acoustics, 2013. Papiotis, P., Marchini, M., Maestre, E. Multidimensional analysis of interdependence in a string quartet. International Symposium on Performance Science, 2013. Marchini, M., Papiotis, P., Maestre, E. Investigating the relationship between expressivity and synchronization in ensemble performance: an exploratory study. International Symposium on Performance Science, 2013 Papiotis, P., Marchini, M., Herrera, P. Maestre, E. Aural-based detection and assessment of real versus artificially synchronized string quartet performance. International Conference on Music and Emotion, 2013. Marchini, M., Ramírez, R., Papiotis, P., Maestre, E. Inducing Rules of Ensemble Music Performance: a Machine Learning Approach. International Conference on Music and Emotion, 2013. Papiotis, P., Marchini, M., Maestre, E. Computational Analysis of Solo versus Ensemble Performance in String Quartets: Intonation and Dynamics. International Conference on Music Perception and Cognition, 2012. Marchini, M., Papiotis, P., Maestre, E. Timing Synchronization in String Quartet Performance: a Preliminary Study. International Symposium on Computer Music Modeling and Retrieval, 2012. Maestre, E., Scavone, G. P., Smith III, J. O. Modeling of a violin input admittance by direct positioning of second-order resonators. 162nd Meeting of the Acoustical Society of America (ASA), 2011. Maestre, E. Synthesis of bowing controls applied to violin sound generation. 162nd Meeting of the Acoustical Society of America (ASA), 2011. Mayor, O., Llop, J., Maestre, E. RepoVizz: A multi-modal on-line database and browsing tool for music performance research. International Symposium on Music Information Retrieval (ISMIR), 2011. Vinceslas, L., García, F., Pérez, A., Maestre, E. Mapping blowing pressure and sound features in recorder playing. International Conference on Digital Audio Effects (DAFX), 2011. Papiotis, P., Marchini M., Pérez, A., Maestre, E., Andrzejak, R. Synchronization of intonation adjustments in violin duets: towards an objective evaluation of musical interaction. International Conference on Digital Audio Effects (DAFX), 2011. Marchini, M., Papiotis P., Pérez, A., Maestre, E. A Hair Ribbon Deflection Model for Low-Intrusiveness Measurement of Bow Force in Violin Performance. International Symposium on New Interfaces for Musical Expression (NIME), 2011. García, F., Vinceslas L., Maestre, E., Tubau, J. Acquisition and study of blowing pressure profiles in recorder playing. International Symposium on New Interfaces for Musical Expression (NIME), 2011. Papiotis, P., Marchini, M., Maestre, E., Pérez, A. Measuring ensemble synchrony through violin performance parameters: a preliminary progress report. Intetain Workshop on Social Behavior in Music, 2011. Coleman, G., Bonada J., Maestre, E. Adding dynamic smoothing to mixture mosaicing synthesis. Workshop on Signal Processing with Adaptive Sparse Structure Representations (SPARS), 2011. Villavicencio, F., Maestre E. GMM-PCA based speaker-timbre conversion on full-quality speech. Speech Synthesis Workshop (INTERSPEECH), 2010. Coleman, G., Maestre, E., Bonada, J. Augmenting sound mosaicing with descriptor-driven transformation. International Conference on Digital Audio Effects (DAFX), 2010. Ramírez, R., Neocleous, A., Pérez, A., Maestre, E. Modeling emotions in violin audio recordings. ACM Workshop on Music and Machine Learning (ACM-MML), 2010. Maestre, E., Pérez, A., Ramírez, R. Gesture sampling for instrumental sound synthesis: violin bowing as a case study. International Computer Music Conference (ICMC), 2010. Ramírez, R., Maestre, E. A framework for performer identification in audio recordings. ACM Workshop on Machine Learning and Music (ACM-MML), 2009. Guaus, E., Bonada, J., Maestre, E., Pérez, A., Blaauw, M. Calibration method to accurately measure bow force in real violin performances. International Computer Music Conference (ICMC), 2009. Camurri, A., Bevilacqua, F., Bresin, R., Maestre, E., Penttinen, H., Seppänen, J., Välimäki, V., Volpe, G., Warusfel, O. Embodied music listening and making in context-aware mobile applications: the EU-ICT SAME Project. International Gesture Workshop, 2009. Maestre, E. Statistical modeling of violin bowing parameter contours. International Computer Music Conference (ICMC), 2009. Camurri, A., Volpe, G., Vinet, H., Bresin, R., Maestre, E., Llop, J., Kleimola, J., Oksanen, S., Välimäki, V., Seppänen, J. User-centric context-aware mobile applications for embodied music listening. International ICST Conference on User Centric Media, 2009. Kersten, S., Maestre, E., Ramírez, R. Concatenative synthesis of expressive saxophone performance. Sound and Music Computing Conference (SMC), 2008. Pérez, A., Maestre, E., Ramírez, R., Kersten, S. Expressive Irish fiddle performance model informed with bowing. International Computer Music Conference (ICMC), 2008. Pérez, A., Bonada, J., Maestre, E., Guaus, E., Blaauw, M. Measuring violin sound radiation for sound equalization. ACOUSTICS, 2008. Ramírez, R., Pérez, A., Maestre, E., Kersten, E., Rizo, D., Román, P., Iñesta, J.M. Modeling celtic violin expressive performance. International Conference on Machine Learning (ICML), 2008. Ramírez, R., Pérez, A., Kersten, S., Maestre, E. Performer identification in celtic violin recordings. International Society for Music Information Retrieval Conference (ISMIR), 2008. Pérez, A., Bonada, J., Maestre, E., Guaus, E., Blaauw, M. Score Level Timbre Transformations of Violin Sounds. International Conference on Digital Audio Effects (DAFX), 2008. Maestre, E., Bonada, J., Blaauw, M., Pérez, A., Guaus, E. Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference (ICMC), 2007. Jensenius, A., Castagné, N., Camurri, A., Maestre, E., Malloch, J., McGilvray, D. A summary of formats for streaming and storing music-related movement and gesture data. International Conference on Enactive Interfaces (ENACTIVE), 2007. Pérez, A., Bonada, J., Maestre, E., Guaus, E., Blaauw, M. Combining performance actions with spectral models for violin sound transformation. International Congress on Acoustics (ICA), 2007. Ramírez, R., Maestre, E., Pertusa, A. Identifying saxophonists from their playing styles. AES 30th Conference, 2007. Guaus, E., Bonada, J., Pérez, A., Maestre, E., Blaauw, M. Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics (ISMA), 2007. Pérez, A., Maestre, E., Ramírez, R. Modeling expressive performance in classical violin. Digital Music Research Network Workshop, 2007. Kersten, S., Maestre, E., Ramírez, R. Modeling and synthesis of expressive performance. Digital Music esearch Network Workshop, 2007. Janer, J., Maestre, E. Phonetic-based mappings in voice-driven sound synthesis. International Conference on Signal Processing and Multimedia Applications, 2007. Jensenius, A., Camurri, A., Castagné, N., Maestre, E., Malloch, J., McGilvray, D., Schwarz, D., Wright, M. The need of formats for streaming and storing music-related movement and gesture data. International Computer Music Conference, 2007. Ramírez, R., Hazan, A., Maestre, E. A sequential covering evolutionary algorithm for expressive music performance. Conference on Innovative Applications of Articial Intelligence, 2006. Hazan, A., Ramírez, R., Maestre, E., Pérez, A., Pertusa, A. Modeling expressive performance: a regression tree approach based on strongly typed genetic programming. European Workshop on Evolutionary Music and Art, 2006. Maestre, E., Bonada, J., Mayor, O. Modeling musical articulation gestures in singing voice performances. AES 121th Convention, 2006. Maestre, E., Hazan, A., Ramírez, R., Pérez, A. Using concatenative synthesis for expressive performance in Jazz saxophone. International Computer Music Conference (ICMC), 2006. Maestre, E., Gómez, E. Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention, 2005. Ramírez, R., Hazan, A., Maestre, E. Intra-note features prediction model for jazz saxophone performance. International Computer Music Conference (ICMC), 2005. Ramírez, R., Hazan, A., Gómez, E., Maestre, E. A machine learning approach to expressive performance in Jazz standards. ACM International Conference on Knowledge Discovery and Data Mining (ACM-KDDM), 2004. Ramírez, R., Hazan, A., Gómez, E., Maestre, E. Understanding expressive transformations in saxophone Jazz performances using inductive machine learning, Sound and Music Computing Conference (SMC), 2004.
Esteban Maestre, 2022