Music Informatics

Music Informatics covers the problem of retrieving sematically meaningful information from the musical content. Several are the applications, ranging from Automatic music browsing systems to applications of machine learning to musical instrument analysis.

Members of the research team:

Person Interests

Prof. Augusto Sarti

Associate Professor

 

Dr. Massimiliano Zanoni

post-doc researcher

Music Informatics, Music Information Retrieval, Mood Emotion Recognition, Music Instrument Analysis, Semantic Web

Dr. Michele Buccoli

post-doc researcher

 

Ing. Bruno Di Giorgi

PhD student

Music Informatics, Music Information Retrieval, Music Transcription

Ing. Francesco Setragno

PhD student

Music Instrument Analysis, Semantic Web

Research themes

  • Music Browsing systems
  • Music Emotion Recognition
  • Music Emotion Segmentation
  • Chord tracking
  • Beat tracking
  • Musical Instrument feature-based timbral analysis

Recent Publications

  • Michele Buccoli, Massimiliano Zanoni, György Fazekas, Augusto Sarti, Mark Sandler and Stefano Tubaro, A higher-dimensional expansion of affective norms for English terms for music tagging, Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR), New York City, USA, 2016
  • Michele Buccoli, Davide Andreoletti, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Unsupervised feature learning for Music Structural Analysis , Proceedings of 24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016
  • Bruno Di Giorgi, Massimiliano Zanoni, Sebastian Böck, Augusto Sarti, Multipath Beat Tracking, in Special Issue on Intelligent Audio Processing, Semantics, and Interaction, Journal of the Audio Engineering Society, vol.64, no.7/8, pp.493-502, 2016
  • Cristina Rottondi, Michele Buccoli, Massimiliano Zanoni, Dario Garao, Giacomo Verticale, Augusto Sarti, Feature-based Analysis of the Effects of Packet Delay on Networked Musical Interactions, Journal of the Audio Engineering Society, vol.63, no.11, pp.864-875, Dec. 2015
  • Roberto Corradi, Alessandro Liberatore, Stefano Miccoli, Fabio Antonacci, Antonio Canclini, Augusto Sarti, Massimiliano Zanoni, A multidisciplinary approach to the characterization of bowed strung instruments: the musical acoustics lab in Cremona, The 22nd International Congress on Sound and Vibration (ICSV22), Florence, Italy, 2015
  • Michele Buccoli, Alessandro Gallo, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, A dimensional contextual semantic model for music description and retrieval, 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2015), Brisbane, Queensland, Australia, 2015
  • Massimiliano Zanoni, Francesco Setragno, Fabio Antonacci, Augusto Sarti, Gyorgy Fazekas, Mark Sandler, Training-based Semantic Descriptors modeling for violin quality sound characterization, Audio Engineering Society Convention (AES), Warsaw, Poland, 2015
  • Michele Buccoli, Massimiliano Zanoni, Francesco Setragno, Augusto Sarti, Stefano Tubaro, An Unsupervised approach to the semantic description of the sound quality of violins, European Signal Processing Conference (EUSIPCO 2015), Nice, France, 2015
  • Michele Buccoli, Alessandro Gallo, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, A Dimensional Contextual Semantic Model For Music Description And Retrieval, DMRN+10: Digital Music Research Network One-day Workshop 2015, London, UK, 2015
  • Michele Buccoli, Paolo Bestagini, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Unsupervised feature learning for bootleg detection using deep learning architectures, IEEE International Workshop on Information Forensics and Security (WIFS), Atlanta, USA, 2014
  • Massimiliano Zanoni, Francesco Setragno, Augusto Sarti, The Violin Ontology, in Proceedings of the 9th Conference on Interdisciplinary Musicology – CIM14 – December 04 – 06, 2014, Berlin, Germany
  • Bruno Di Giorgi, Massimiliano Zanoni, Augusto Sarti, MIREX 2014 Entry: Multipath Beat Tracking – October 27 – 31, 2014, Taipei, Taiwan
  • Bruno Di Giorgi, Massimiliano Zanoni, Augusto Sarti, MIREX 2014 Entry: Tempo Estimation based on Multipath Tempo tracking – October 27 – 31, 2014, Taipei, Taiwan
  • Chris Cannam, Matthias Mauch, Matthew EP Davies, Simon Dixon, Christian Landone, Katy Noland, Mark Levy, Massimiliano Zanoni, Dan Stowell, Luıs A Figueira, MIREX 2013 Entry: Vamp Plugins from Center for Digital Music – November 4 – 8, 2013, Curitiba, Brazil
  • Michele Buccoli, Massimiliano Zanoni, Augusto Sarti, A Music Search Engine based of semantic text-query query, in Proceedings of the 15th international workshop on multimedia signal processing – MMSP 2013 – September 30 – October 02, 2013, Pula (Sardinia), Italy
  • Paolo Bestagini, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Feature-based Classification for Audio Bootlegs Detection, in Proceedings of the IEEE International Workshop on Information Forensics and Security – WIFS13 – November 18-21, 2013, Guangzhou, China
  • Bruno di Giorgi, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Automatic chord recognition based on the probabilistic modeling of diatonic modal harmony, in Proceedings of the 8th international workshop on multidimensional (nD) systems – nDS13 – November 9 – September 11, 2013, Erlangen, Germany