Olivier Lartillot

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Postal address P.O. Box 1133 Blindern 0318 Oslo

Short bio: Olivier Lartillot is a researcher working in the fields of computational music and sound analysis and artificial intelligence. He obtained a funding from the Research Council of Norway under the FRIPRO-IKTPLUSS program, for a project called MIRAGE - A Comprehensive AI-Based System for Advanced Music Analysis, which will start in December 2019 for 4 years.

He designed MIRtoolbox, a referential tool for music feature extraction from audio. He also works on symbolic music analysis, notably on sequential pattern mining. In the context of his 5-year Academy of Finland research fellowship, he conceived the MiningSuite, an analytical framework that combines audio and symbolic research.

Olivier previously worked for the SoundTracer project, an innovation project in collaboration with the National Library of Norway. He also collaborates on the TIME project.

Olivier has given courses in Music Information Retrieval, conference tutorials and has taught in various summer schools. He has collaborated on various projects around the topics of artificial intelligence, signal processing, cognitive science, neuroscience, music analysis, ethnomusicology and music therapy. He has written 80 articles, with more than 2000 citations. He is a member of the Editorial Board of the Transactions of the International Society for Music Information Retrieval, is an expert evaluator for the European Commission's Horizon 2020 program and has participated to the Program Committees of various conferences.

As part of the SoundTracer project, he worked in particular on the automated transcription of Norwegian fiddle music. He discussed this topic in the international conference on music perception and cognition (ICMPC 2018):

Background

  • Researcher at the Department for Architecture, Design and Media Technology, Aalborg University, Denmark (2014-2016)
  • Academy of Finland research fellow (2009-2014) and previously post-doc (2004-2009) at the Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyväskylä, Finland
  • Scientific collaborator at the Swiss Center for Affective Sciences, University of Geneva, Switzerland (2012-2013)
  • PhD at Ircam - Centre George Pompidou, UPMC Paris University (2000-2004)
  • ATIAM Master at Ircam - Centre George Pompidou, UPMC Paris University (1999-2000)
  • Supélec engineering school, France (1996-1999)
  • Art degree in Musicology, Sorbonne University, Paris, France (1996-1999)

Other links

Publications on Google Scholar

Social hub on about.me

Article

Finner musikk ved å bevege hånden

Ved å bevege mobiltelefonen i lufta kan du søke etter musikk på biblioteket. En ny app gjør det mulig.

Foto: Toril Haugen

Publications

  • Lartillot, Olivier (2019). Miningsuite: A Comprehensive Matlab Framework for Signal, Audio and Music Analysis, Articulating Audio and Symbolic Approaches, In Isabel Barbancho; Lorenzo J. Tardón; Alberto Peinado & Ana M. Barbancho (ed.),  SMC 2019 Proceedings of the 16th Sound & Music Computing Conference.  Society for Sound and Music Computing.  ISBN 978-84-09-08518-7.  D3.1.  s 489 - 489
  • Lartillot, Olivier & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation, In Isabel Barbancho; Lorenzo J. Tardón; Alberto Peinado & Ana M. Barbancho (ed.),  SMC 2019 Proceedings of the 16th Sound & Music Computing Conference.  Society for Sound and Music Computing.  ISBN 978-84-09-08518-7.  S2.6.  s 174 - 181
  • Lartillot, Olivier; Thedens, Hans-Hinrich & Jensenius, Alexander Refsum (2018). Computational model of pitch detection, perceptive foundations, and application to Norwegian fiddle music, In Richard Parncutt & Sabrina Sattmann (ed.),  Proceedings of ICMPC15/ESCOM10.  Centre for Systematic Musicology, University of Graz.  ISBN 978-3-200-05771-5.  article.  s 252 - 255 Show summary
  • Haugen, Mari Romarheim; Johansson, Mats Sigvard & Lartillot, Olivier (2019). Investigating rhythm production and perception in traditional scandinavian dance music in non-isochronous meter: A case study of norwegian telespringar.
  • Lartillot, Olivier (2019). Miningsuite: A Comprehensive Matlab Framework for Signal, Audio and Music Analysis, Articulating Audio and Symbolic Approaches.
  • Lartillot, Olivier (2019). The MIRAGE project.
  • Lartillot, Olivier & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation.
  • Lartillot, Olivier (2018). Analyse musicologique par ordinateur d'enregistrements audio et de partitions informatisées. Show summary
  • Lartillot, Olivier (2018). Computational musicological analysis of notated music: a brief overview. Show summary
  • Lartillot, Olivier (2018). Computational sound/music/gesture analysis and application to gesture-based query in music catalogue. Show summary
  • Lartillot, Olivier (2018). Cookbook 1: Sound analysis in Matlab.
  • Lartillot, Olivier (2018). MIRToolbox and MiningSuite.
  • Lartillot, Olivier (2018). MIRtoolbox 1.7.1. Show summary
  • Lartillot, Olivier (2018). MoCap Toolbox in the MiningSuite.
  • Lartillot, Olivier (2018). Music and Voice Analysis using Matlab: MIRtoolbox and the MiningSuite.
  • Lartillot, Olivier (2018). Overview of signal-based rhythm analysis.
  • Lartillot, Olivier (2018). The MiningSuite - a Matlab toolbox for signal, audio and music analysis. Show summary
  • Lartillot, Olivier (2018). The MiningSuite 0.10 (first beta version). Show summary
  • Lartillot, Olivier (2018). mirtempo 1.8: Tempo Estimation By Tracking a Complete Metrical Structure. Show summary
  • Lartillot, Olivier & Jensenius, Alexander Refsum (2018). SoundTracer. Show summary
  • Lartillot, Olivier; Nymoen, Kristian & Danielsen, Anne (2018). Prediction of P-centers from audio recordings.
Published Aug. 14, 2017 11:01 AM - Last modified May 13, 2019 9:40 PM

Projects

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