Profile

I have been professionally involved in popular music production, performance, and sound recording for several record labels and artists of diverse musical genres. The experience and the new music economy landscape created a desire to better understand the changing ways in which music is now created, distributed, and enjoyed. This desire led me to pursue a Ph.D. in Music Technology at McGill University. My main research interests are music production and sound engineering, music recommendation and listening behaviour, and new interfaces for musical expression, production, and synthesis.

Next

Publications

Vigliensoni, G., J. Calvo-Zaragoza, and I. Fujinaga. 2018. An environment for machine pedagogy: Learning how to teach computers to read music. In Proceedings of the Intelligent Music Interfaces for Listening and Creation workshop.

Vigliensoni, G. and I. Fujinaga. 2017. The music listening histories dataset. In Proceedings of the 18th International Society for Music Information Retrieval Conference.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2017. One-step detection of background, staff lines, and symbols in medieval music manuscripts with convolutional neural networks. In Proceedings of the 18th International Society for Music Information Retrieval Conference.

Barone, M., K. Dacosta, G. Vigliensoni, and M. Woolhouse. 2017. GRAIL: Database linking music metadata across artist, release, and track. In Proceedings of the 4th International Digital Libraries for Musicology workshop.

Calvo-Zaragoza, J., G. Vigliensoni, and . Fujinaga. 2017. Music document layout analysis through machine learning and human feedback. In Proceedings of the 12th IAPR International Workshop on Graphics Recognition.

Saleh, Z., K. Zhang, J. Calvo-Zaragoza, G. Vigliensoni, and I. Fujinaga. 2017. Pixel.js: Web-based pixel classification correction platform for ground truth creation. In Proceedings of the 12th IAPR International Workshop on Graphics Recognition.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2017. Pixel-wise binarization of musical documents with Convolutional Neural Networks. In Proceedings of the 15th IAPR Conference on Machine Vision Applications.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2017. Staff-line detection on greyscale images with pixel classification. In Proceedings of the 8th Iberian Conference on Pattern Recognition and Image Analysis.

Barone, M., K. Dacosta, G. Vigliensoni, and M. Woolhouse. 2017. GRAIL: A general recorded audio identity linker. Late breaking session 17th International Society for Music Information Retrieval Conference.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2017. Pixelwise classification for music document analysis. In 2017 Seventh International Conference on Image Processing Theory, Tools, and Applications.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2017. A unified approach towards automatic recognition of heterogeneous music documents. In Proceedings of the Music Encoding Conference.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2017. A machine learning framework for the categorization of elements in images of musical documents. In Proceedings of the Third International Conference on Technologies for Music Notation and Representation.

Vigliensoni, G. and I. Fujinaga. 2016. Automatic music recommendation systems: Do demographic, profiling, and contextual features improve their performance?. In Proceedings of the 17th International Society for Music Information Retrieval Conference.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2016. Staff-line detection on greyscale images with pixel classification. Late breaking session 17th International Society for Music Information Retrieval Conference.

Calvo-Zaragoza, J., G. Vigliensoni, and I. Fujinaga. 2016. Document analysis for music scores via machine learning. In Proceedings of the 3rd International Digital Libraries for Musicology workshop.

Fujinaga, I., G. Vigliensoni, and H. Knox. 2015. The making of a computerized harpsichord for analysis and training. International Symposium on Performance Science 2015.

Barone, M., K. Dacosta, G. Vigliensoni, and M. Woolhouse. GRAIL: A general recorded audio identity linker. Late breaking session 17th International Society for Music Information Retrieval Conference.

Vigliensoni, G., and I. Fujinaga. 2014. Time-shift normalization and listener profiling in a large dataset of music listening histories. Fourth annual seminar on cognitively based music informatics research.

Vigliensoni, G., and I. Fujinaga. 2014. Identifying time zones in a large dataset of music listening logs. In Proceedings of the International Workshop on Social Media Retrieval and Analysis.

Vigliensoni, G., J. A. Burgoyne, and I. Fujinaga. 2013. Musicbrainz for the world: the Chilean experience. In Proceedings of the International Society for Music Information Retrieval Conference. 131–6.

Vigliensoni, G., G. Burlet, and I Fujinaga. 2013. Optical measure recognition in common music notation. In Proceedings of the International Society for Music Information Retrieval Conference. 125–30.

Vigliensoni, G., and M. Wanderley. 2012. A quantitative comparison of position trackers for the development of a touch-less musical interface. In Proceedings of the New Interfaces for Musical Expression Conference.

Hankinson, A., J. A. Burgoyne, G. Vigliensoni, A. Porter, J. Thompson, W. Liu, R. Chiu, and I. Fujinaga. 2012. Digital document image retrieval using optical music recognition. In Proceedings of the International Society for Music Information Retrieval Conference.

Hankinson, A., J. A. Burgoyne, G. Vigliensoni, and I. Fujinaga. 2012. Creating a large-scale searchable digital collection from printed music materials. In Proceedings of Advances in Music Information Research.

Vigliensoni, G. 2011. Touchless gestural control of concatenative sound synthesis. Master's thesis, McGill University.

Vigliensoni, G., J. A. Burgoyne, A. Hankinson, and I. Fujinaga. 2011. Automatic pitch detection in printed square notation. In Proceedings of the International Society for Music Information Retrieval Conference.

Hankinson, A., G. Vigliensoni, J. A. Burgoyne, and I. Fujinaga. 2011. New Tools for Optical Chant Recognition. International Association of Music Libraries Conference.

Burgoyne, J. A., R. Chiu, G. Vigliensoni, A. Hankinson, J. Cumming, and I. Fujinaga. 2011. Creating a fully-searchable edition of the Liber Usualis. Medieval and Renaissance Music Conference.

Vigliensoni, G., and M. Wanderley. 2010. Soundcatcher: Explorations in audio-looping and time-freezing using an open-air gestural controller. In Proceedings of theInternational Computer Music Conference..

Vigliensoni, G., C. McKay, and I. Fujinaga. 2010. Using jWebMiner 2.0 to improve music classification performance by combining different types of features mined from the web. In Proceedings of the International Society for Music Information Retrieval Conference. 607–12.

McKay, C., J. A. Burgoyne, J. Hockman, J. B. L. Smith, G. Vigliensoni, and I. Fujinaga. 2010. Evaluating the performance of lyrical features relative to and in combination with audio, symbolic and cultural features. In Proceedings of the International Society for Music Information Retrieval Conference. 213–8.

Next

Curriculum Vitae

March 2018
Next

Music

Next

Contact

gabriel@vigliensoni.com