Olivier Lartillot

Image of Olivier Lartillot
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Visiting address Forskningsveien 3A 0373 Oslo
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 (2020-2023).

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

Tags: Computational music analysis, Sound analysis, Artificial intelligence, Computational musicology, Music Information Retrieval

Publications

New method for computational analysis of sound chosen as JASA highlight

A recently published article has been chosen as a highlight by The Journal of the Acoustical Society of America (JASA).

Computational Musicological Analysis of Notated Music: A Brief Overview

A chapter from the newly released book "Notated Music in the Digital Sphere: Possibilities and Limitations", Nota Bene 15

Artificial intelligence can help you understand music better

Algorithms and technology have so far helped listeners to more of the same music. Now, UiO researchers are working on new technology that can get people interested in a greater musical variety.

  • Weisser, Stéphanie; Lartillot, Olivier & Sechehaye, Hélène (2021). Investiguer la grésillance. Pour une approche ethno-acoustique du timbre musical. Cahiers d'ethnomusicologie. ISSN 2235-7688. 34, p. 37–58.
  • Elovsson, Anders & Lartillot, Olivier (2021). A Hardanger Fiddle Dataset with Performances Spanning Emotional Expressions and Annotations Aligned using Image Registration, Proceedings of the 22nd International Society for Music Information Retrieval Conference, Online, Nov 7-12, 2021. International Society for Music Information Retrieval. ISSN 978-1-7327299-0-2. p. 174–181. Full text in Research Archive
  • Lartillot, Olivier (2021). Computational Musicological Analysis of Notated Music: a Brief Overview. Nota Bene. ISSN 1891-4829. 15, p. 142–161. Full text in Research Archive
  • Lartillot, Olivier; Nymoen, Kristian; Câmara, Guilherme Schmidt & Danielsen, Anne (2021). Computational localization of attack regions through a direct observation of the audio waveform. Journal of the Acoustical Society of America. ISSN 0001-4966. 149(1), p. 723–736. doi: 10.1121/10.0003374.
  • Bruford, Fred & Lartillot, Olivier (2020). Multidimensional similarity modelling of complex drum loops using the GrooveToolbox, Proceedings of the 21st International Society for Music Information Retrieval (ISMIR) Conference. McGill-Queen's University Press. ISSN 978-0-9813537-0-8. p. 263–270. Full text in Research Archive
  • Lartillot, Olivier & Bruford, Fred (2020). Bistate reduction and comparison of drum patterns, Proceedings of the 21st International Society for Music Information Retrieval (ISMIR) Conference. McGill-Queen's University Press. ISSN 978-0-9813537-0-8. p. 318–324. Full text in Research Archive
  • Lartillot, Olivier; Cancino-Chacón, Carlos & Brazier, Charles (2020). Real-Time Visualisation Of Fugue Played By A String Quartet. In Spagnol, Simone & Valle, Andrea (Ed.), Proceedings of the 17th Sound and Music Computing Conference. Axea sas/SMC Network. ISSN 978-88-945415-0-2. p. 115–122. Full text in Research Archive
  • Câmara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier & Danielsen, Anne (2020). Timing Is Everything... Or Is It? Effects of Instructed Timing Style, Reference and Pattern on Drum Kit Sound in Groove-Based Performance. Music Perception. ISSN 0730-7829. 38(1), p. 1–26. doi: 10.1525/mp.2020.38.1.1. Full text in Research Archive
  • Câmara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier & Danielsen, Anne (2020). Effects of instructed timing on electric guitar and bass sound in groove performance. Journal of the Acoustical Society of America. ISSN 0001-4966. 147(2), p. 1028–1041. doi: 10.1121/10.0000724.
  • Lartillot, Olivier & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation. Applied Sciences. ISSN 2076-3417. 9(23). doi: 10.3390/app9235121. Full text in Research Archive
  • Alarcón Diaz, Ximena; Lopez Bojórquez, Lucia Nikolaia; Lartillot, Olivier & Flamtermesky, Helga (2019). From collecting an archive to artistic practice in the INTIMAL project: lessons learned from listening to a Colombian migrant women’s oral history archive. Acervo. ISSN 0102-700X. 32(3), p. 48–63. Full text in Research Archive
  • Lartillot, Olivier (2019). Miningsuite: A Comprehensive Matlab Framework for Signal, Audio and Music Analysis, Articulating Audio and Symbolic Approaches. In Barbancho, Isabel; Tardón, Lorenzo J.; Peinado, Alberto & Barbancho, Ana M. (Ed.), SMC 2019 Proceedings of the 16th Sound & Music Computing Conference. Society for Sound and Music Computing. ISSN 978-84-09-08518-7. p. 489–489. Full text in Research Archive
  • Lartillot, Olivier & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation. In Barbancho, Isabel; Tardón, Lorenzo J.; Peinado, Alberto & Barbancho, Ana M. (Ed.), SMC 2019 Proceedings of the 16th Sound & Music Computing Conference. Society for Sound and Music Computing. ISSN 978-84-09-08518-7. p. 174–181. doi: 10.3390/app9235121. Full text in Research Archive
  • Lartillot, Olivier; Thedens, Hans-Hinrich & Jensenius, Alexander Refsum (2018). Computational model of pitch detection, perceptive foundations, and application to Norwegian fiddle music. In Parncutt, Richard & Sattmann, Sabrina (Ed.), Proceedings of ICMPC15/ESCOM10. Centre for Systematic Musicology, University of Graz. ISSN 978-3-200-05771-5. p. 252–255. Full text in Research Archive

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  • Danielsen, Anne; Câmara, Guilherme Schmidt; Lartillot, Olivier; Leske, Sabine Liliana & Spiech, Connor (2022). Musical rhythm. Behavioural, computational and neurophysiological perspectives.
  • Elovsson, Anders & Lartillot, Olivier (2021). HF1: Hardanger fiddle dataset.
  • Tidemann, Aleksander; Lartillot, Olivier & Johansson, Mats Sigvard (2021). Towards New Analysis And Visualization Software For Studying Performance Patterns in Hardanger Fiddle Music.
  • Lartillot, Olivier & Lilleslåtten, Mari (2021). Olivier Lartillot utvikler verktøy for å forstå musikk bedre. [Internet]. Det humanistiske fakultet UiO YouTube account.
  • Lartillot, Olivier & Lilleslåtten, Mari (2021). Artificial intelligence can help you understand music better. [Internet]. RITMO News.
  • Lartillot, Olivier; Guldbrandsen, Erling Eliseus & Cancino-Chacón, Carlos Eduardo (2021). Dynamics analysis, and application to a comparative study of Bruckner performances.
  • Lartillot, Olivier; Elovsson, Anders & Mjelva, Olav Luksengård (2021). A new software for computer-assisted annotation of music recordings, with a focus on transcription.
  • Lartillot, Olivier & Johansson, Mats Sigvard (2021). Tracking beats in Hardanger fiddle tunes .
  • Lartillot, Olivier (2021). Presentation of MIRAGE project.
  • Tidemann, Aleksander & Lartillot, Olivier (2021). Interactive tools for exploring performance patterns in hardanger fiddle music.
  • Dalgard, Joachim; Lartillot, Olivier; Vuoskoski, Jonna Katariina & Guldbrandsen, Erling Eliseus (2021). Absorption - Somewhere between the heart and the brain.
  • Bruford, Fred & Lartillot, Olivier (2020). Multidimensional similarity modelling of complex drum loops using the GrooveToolbox.
  • Lartillot, Olivier & Toiviainen, Petri (2020). Read about the Matlab MIRtoolbox. Young Acousticians Network (YAN) Newsletter. p. 4–10.
  • Lartillot, Olivier & Toiviainen, Petri (2020). Read about the Matlab MIRtoolbox. [Internet]. Young Acousticians Network Newsletter.
  • Lartillot, Olivier & Bruford, Fred (2020). Bistate reduction and comparison of drum patterns.
  • Lartillot, Olivier; Cancino-Chacón, Carlos & Brazier, Charles (2020). Real-Time Visualisation Of Fugue Played By A String Quartet.
  • Lartillot, Olivier (2019). A comprehensive framework for computational music analysis.
  • Câmara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier & Danielsen, Anne (2019). Timing is Everything... Or is it? Part I: Effects of Instructed Timing and Reference on Guitar and Bass Sound in Groove Performance.
  • Lartillot, Olivier (2019). Computational analysis of tempo and metre: from signal processing to cognitive musicology.
  • Sørbø, Solveig Isis; Bentham, John; Watson, Pia; Lartillot, Olivier; Gonzalez Sanchez, Victor Evaristo & González, María Isabel (2019). Aether Trouble.
  • 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 & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation.
  • Lartillot, Olivier (2019). The MIRAGE project.
  • Lartillot, Olivier (2018). The MiningSuite 0.10 (first beta version).
  • Lartillot, Olivier (2018). MIRtoolbox 1.7.1.
  • Lartillot, Olivier & Jensenius, Alexander Refsum (2018). SoundTracer.
  • Lartillot, Olivier; Nymoen, Kristian & Danielsen, Anne (2018). Prediction of P-centers from audio recordings.
  • Lartillot, Olivier (2018). MoCap Toolbox in the MiningSuite.
  • Lartillot, Olivier (2018). Overview of signal-based rhythm analysis.
  • Lartillot, Olivier (2018). Computational sound/music/gesture analysis and application to gesture-based query in music catalogue.
  • Lartillot, Olivier (2018). Cookbook 1: Sound analysis in Matlab.
  • Lartillot, Olivier (2018). Analyse musicologique par ordinateur d'enregistrements audio et de partitions informatisées.
  • Lartillot, Olivier (2018). MIRToolbox and MiningSuite.
  • Lartillot, Olivier (2018). The MiningSuite - a Matlab toolbox for signal, audio and music analysis.
  • Lartillot, Olivier (2018). Computational musicological analysis of notated music: a brief overview.
  • Lartillot, Olivier (2018). mirtempo 1.8: Tempo Estimation By Tracking a Complete Metrical Structure. Music Information Retrieval Evaluation eXchange (MIREX). Full text in Research Archive

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Published Aug. 9, 2018 11:06 AM - Last modified June 21, 2022 1:34 PM