Profile

I am a Montréal-based musician and scholar who combines practice-based research with extensive studies in sound recording, music production, human-computer interaction, music information retrieval, and machine learning to design new approaches to music composition.

In my creative work, I explore the different stages of the music production workflow, always seeking to transform this process into a playground for learning and experimentation. Throughout my career I have experimented with techno and breakbeat; overlapped krautrock and electronica; explored vocal-driven songs that eschew the standard pop format; used procedural composition techniques; and explored slowing down beats and doing live drum programming to extend musical structures and bring liveness and immediacy to digital music production. To me, music is a shared and living experience that is completed when performed with the audience, which embodies and appropriates it.

Currently, I am a postdoctoral research fellow in the Department of Computing at Goldsmiths, University of London, where I am investigating the creative capabilities and affordances of the deep learning paradigm for assisting musical composition.

Curriculum Vitae

You can download my latest CV from here.

Publications

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

Vigliensoni, G., E. Maestre, and R. Fiebrink. 2020. Web-based dynamic visualization of rhythmic latent space. In Proceedings of the Sound, Image and Interaction Design Symposium (SIIDS2020). Online.

Vigliensoni, G., L. McCallum, and R. Fiebrink. 2020. Creating latent spaces for modern music genre rhythms using minimal training data. In Proceedings of the International Conference on Computational Creativity (ICCC’20). Online.

Regimbal, J., G. Vigliensoni, C. Hutnik, and I. Fujinaga. 2020. IIIF-based lyric and neume editor for square-notation manuscripts. In Proceedings of the Music Encoding Conference. Online.

Fujinaga, I., and G. Vigliensoni, G. 2019. The Art of Teaching Computers: The SIMSSA Optical Music Recognition Workflow System. In Proceedings of the 27th European Signal Processing Conference.

Vigliensoni, G., A. Daigle, E. Liu, J. Calvo-Zaragoza, J. Regimbal, M. A. Nguyen, N. Baxter, Z. McLennan, and I. Fujinaga. 2019. Overcoming the challenges of optical music recognition of Early Music with machine learning. Digital Humanities Conference 2019.

Vigliensoni, G., A. Daigle, E. Liu, J. Calvo-Zaragoza, J. Regimbal, M. A. Nguyen, N. Baxter, Z. McLennan, and I. Fujinaga. 2019. From image to encoding: Full optical music recognition of Medieval and Renaissance music. Music Encoding Conference 2019.

Vigliensoni, G., J. Calvo-Zaragoza, and I. Fujinaga. 2018. Developing an environment for teaching computers to read music. In Proceedings of 1st International Workshop on Reading Music Systems.

Castellanos, F., J. Calvo-Zaragoza, G. Vigliensoni, and I. Fujinaga. 2018. Document analysis of music score images with selectional autoencoders. In Proceedings of the 19th International Society for Music Information Retrieval Conference.

Nápoles, N., G. Vigliensoni, and I. Fujinaga. 2018. Encoding matters. In Proceedings of the 5th International Conference on Digital Libraries for Musicology.

Calvo-Zaragoza, J., F. Castellanos, G. Vigliensoni, and I. Fujinaga. 2018. Deep neural networks for document processing of music score images. Applied Sciences, 8(5), 654. DOI:10.3390/app8050654.

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., D. Romblom, M. P. Verge, and C. Guastavino. 2017. Perceptual evaluation of a virtual acoustic room model. The Journal of the Acoustical Society of America 142(4): 2559.

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 Workshop on Digital Libraries for Musicology.

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

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 music metadata identity API. Late breaking session 17th International Society for Music Information Retrieval Conference.

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. 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.

Barone, M., K. Dacosta, G. Vigliensoni, and M. Woolhouse. 2015. GRAIL: A music identity space collection and API. Late breaking session 16th 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. Touch-less 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. Dublin, Ireland.

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. Barcelona, España.

Vigliensoni, G., and M. Wanderley. 2010. Soundcatcher: Explorations in audio-looping and time-freezing using an open-air gestural controller. In Proceedings of the International Computer Music Conference. 100–3.

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.

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.

Datasets

The Music Listening Histories Dataset (MLHD). 2017. Vigliensoni, G., and I. Fujinaga.

Music Recommendation Dataset (KGRec-music). 2016. Oramas, S., V. C. Ostuni, and G. Vigliensoni. Licensed under Creative Commons CC BY-NC 3.0, except 3rd party data.

Sound Recommendation Dataset (KGRec-sound). 2016. Oramas, S., V. C. Ostuni, and G. Vigliensoni. Licensed under Creative Commons CC BY-NC 3.0, except 3rd party data.

Invited talks, workshops, and presentations

October, 2020. Telematic Awakening: Participating in the 2019 Chilean uprising through a live gestural interface. 26th International Symposium on Electronic Art. Montréal, QC. Online.

September, 2020. Interactive machine learning using Wekinator. Workshop offered at the 21st International Festival of Digital Creativity and Electronic Music MUTEK Forum. Online.

September 2019. Cantus Ultimus: OMR for Gothic Notation and McGill Manuscripts. 1st Digital Analysis of Chant Transmission workshop. Montréal, QC.

July 2019. Neon.js: Neume Editor Online. Digital Humanities Musicology Study Group meeting. Utrecht, Netherlands.

December 2018. Pixel.js: a web-based application for pixel classification and correction. SIMSSA Workshop XVII. Centre for Interdisciplinary Research in Music Media and Technology. Montréal, QC.

March 2018. An environment for machine pedagogy: Learning how to teach computers to read music. Intelligent Music Interfaces for Listening and Creation workshop. Tokyo, Japan.

March 2018.  Insertions into mediatic circuits workshop. Eastern Bloc, Montréal, QC.

October 2017. Machine learning for everyone. Communications Department, Concordia University, Montréal, QC.

August 2017. Infrastructure for optical music recognition. SIMSSA Workshop XII. Schulich School of Music, McGill University, Montréal, QC.

April, 2017. Machine learning for artists. Speculative life cluster. Milieux Institute for Arts, Culture and Technology at Concordia University, Montréal, QC.

March 2017. Discovering music listening patterns in last.fm scrobble data. Music Information, Retrieval, Acquisition, Preservation graduate seminar. Schulich School of Music, McGill University, Montréal, QC.

October 2016. Automatic music recommendation systems: do demographic, profiling, and contextual features improve their performance?. User-centric Music Information Retrieval graduate seminar. School of Information Studies, McGill University, Montréal, QC.

February 2016. Automatic music recommendation systems: do demographic, profiling, and contextual features improve their performance?. Doctoral Colloquium. Schulich School of Music, McGill University, Montréal, QC.

October 2015. Discovering music listening patterns in a large dataset of music listening logs. User-centric Music Information Retrieval graduate seminar. School of Information Studies, McGill University, Montréal, QC.

May 2015. An automated system for performing a figured bass realization with a live performer in real time. International Conference of the Historical Keyboard Society of North America, Montréal, QC.

March 2015. Discovering music listening patterns in a large dataset of music listening logs. Music Information, Retrieval, Acquisition, Preservation graduate seminar. Department of Music Research, McGill University, Montréal, QC.

October 2014. Presentation Discovering music listening patterns in a large dataset of music listening logs. Seminar in Interdisciplinary Studies I. English Department, Concordia University, Montréal, QC.

October 2014 Presentation La música no se detiene: en la búsqueda de la innovación en la nueva economía de la música. Segundo Festival  Internacional de Innovación Social. Santiago, Chile.

October 2014 Presentation La música no se detiene: en la búsqueda de la innovación en la nueva economía de la música. Departamento de Música y Sonología, Facultad de Artes, Universidad de Chile.

February 2012 Presentation CIRMMT Axis 3 Workshop on Music Score Searching and Analysis. Center for Interdisciplinary Research in Music, Media and Technology, Montréal, QC, Canada.

February 2012 Poster Northeastern Music Informatics Special Interest Group, Dartmouth College. Hanover, NH.

March 2011 Presentation CIRMMT Axis 3 Workshop on Optical Music Recognition. Center for Interdisciplinary Research in Music, Media and Technology. Montréal, QC.

October 2010 Presentation CIRMMT Axis 3 Workshop on music information retrieval and cultural metadata. Center for Interdisciplinary Research in Music, Media and Technology. Montréal, QC, Canada.

June 2010 Workshop on music information retrieval for composition and performance. 2010 International Computer Music Conference workshop. Harvest Works. New York, NY.

May 2010 Concert CIRMMT Student Symposium 2010. Center for Interdisciplinary Research in Music, Media and Technology. Montréal, QC.

Awards

2020–2022 Postdoctoral Research-Creation Grant. Fonds de Recherche du Québec – Société et Culture (FRQSC)

2019 Bursary Award. Alliance of Digital Humanities Organizations.

2017 Best reviewer award. 18th International Society for Music Information Retrieval Conference.

2016 Beca Excelencia Académica. Sociedad Chilena del Derecho de Autor.

2018, 2016, 2014, 2011 CIRMMT Travel Award. Centre for Interdisciplinary Research on Music Media and Technology.

2012 NEMISIG Travel Award. Northeastern Music Informatics Special Intererest Group.

2011–2015 Beca Bicentenario BecasChile, estudios de doctorado. Comisión Nacional de Ciencia y Tecnología, Chile.

2011–2012 Graduate Excellence Fellowship. Schulich School of Music, McGill University.

2011 Seymour Schulich Scholarship. Schulich School of Music, McGill University.

2010 ISMIR Student Travel Award. International Society for Music Information Retrieval.

2014, 2012, 2011, 2010, 2009 GREAT Award. Schulich School of Music, McGill University.

2009–2010 McGill Provost´s Graduate Fellowship. Graduate and Postdoctoral Studies Office. McGill University

2009–2011 Beca Bicentenario BecasChile, estudios de máster. Comisión Nacional de Ciencia y Tecnología, Chile.

Program and reviewing committees

2020. Music track co-chair, International Society for Music Information Retrieval (ISMIR) 2020 conference

2020. Virtual conference organization committee member, ISMIR 2020

2020. Proceedings and publicity chair, Digital Libraries for Musicology (DLfM) conference

2020–PRESENT. Program committee member, DLfM.

2020–PRESENT. Peer reviewer, Network Music Festival (NMF)

2019–PRESENT. Mentor, Women in music information retrieval (WiMIR) mentoring program.

2019–PRESENT. Peer reviewer, MDPI Applied Sciences Journal.

2019–PRESENT. Peer reviewer, Transactions of the International Society for Music Information Retrieval Journal.

2019–PRESENT. Program committee member, International Workshop on Reading Music Systems.

2019–PRESENT. Peer reviewer, Iberian Conference on Pattern Recognition and Image Analysis.

2019–PRESENT. Peer reviewer, CIRMMT-OICRM-BRAMS Student Symposium.

2018–PRESENT. Program committee member, International Society for Music Information Retrieval.

2018–PRESENT. Program committee member. Intelligent Music Interfaces for Listening and Creation workshop.

2018–PRESENT. Peer reviewer, PLOS One Open Access Journal.

2016–PRESENT. Peer reviewer, Journal of the Association for Information Science and Technology.

2015–PRESENT. Peer reviewer, International Society for Music Information Retrieval.

2007–2008. Reviewer, AcreditaUC. Comisión Nacional de Acreditación. Chile.

Affiliations

2017–PRESENT. Speculative Life Cluster. Concordia University, Canada. Student member.

2013–PRESENT. Association for Computing Machinery (ACM). Full member.

2011–PRESENT. International Computer Music Association (ICMA). Student member.

2011–PRESENT. Distributed Digital Music Archives & Libraries laboratory (DDMAL). McGill University, Canada. Postdoctoral fellow.

2010–PRESENT. International Society for Music Information Retrieval (ISMIR). Member.

2010–PRESENT. Centre for Interdisciplinary Research for Music Media and Technology. Canada. Student member.

2009–2011. Input Devices and Music Interaction Laboratory. McGill University, Canada. Graduate student

1996–PRESENT. Sociedad Chilena del Derecho de Autor (SCD), Chile. Active member.