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Olivier Lartillot

Researcher -
Image of Olivier Lartillot
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Visiting address Forskningsveien 3A 0373 探花精选
Postal address P.O. Box 1133 Blindern 0318 探花精选

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 , a recognised 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 , an analytical framework that combines audio and symbolic research.

Olivier is a in the (Human Interaction assessment and Generative segmentation in Health and Music). 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, cross-cultural studies and music therapy. He has written 80 articles, with . He is a member of the Editorial Board of the , 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 Jyv盲skyl盲, 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)
  • Sup茅lec engineering school, France (1996-1999)
  • Art degree in Musicology, Sorbonne University, Paris, France (1996-1999)

Other links

Tags: Computer Science, Music Analysis, Sound Analysis, Artificial Intelligence, Musicology, Music Information Retrieval, Music Technology

Publications

Chapter from the Sonic Design book

I examine electroacoustic music analysis, covering musicological investigations and desires and technological challenges and potentials. Starting from Pierre Schaeffer鈥檚 Trait茅 des objects musicaux, I present an overview of core analytical principles underpinning more recent musicological approaches. Based on a state of the art in computational analysis of electroacoustic music, I sketch the principles of what could be a Toolbox des objets sonores.

 

Transactions of the International Society for Music Information Retrieval

We present a dataset of several hours of recordings of Hardanger fiddle music, with note annotations of onsets, offsets and pitches, provided by the performers themselves. A subset has also been annotated with beat onset positions by the performer as well as three expert musicians. The complexity of the music genre鈥攑olyphonic, highly ornamented and with a very irregular pulsation, among other aspects鈥攎otivated the design of a new annotation software adapted to these particular needs. 

 


Presented at the , part of the
We present an ongoing project dedicated to the transmutation of a collection of field recordings of Norwegian folk music established in the 1960s into an easily accessible online catalogue augmented with advanced music technology and computer musicology tools. We focus in particular on a major highlight of this collection: Hardanger fiddle music.

 

MusicLab 8: Synaesthesia

We explored the synaesthesia of guitarist and artistic researcher Bj酶rn Charles Dreyer in a multimodal and interactive concert based on new technologies specifically developed for this collaboration. You can watch the concert, followed by a panel discussion and a technical demonstration:

 

MIRAGE Symposium #1: Computational Musicology

The 1st MIRAGE Symposium, which took place on 8-9 June, 2021, is available on replay.

 

New method for computational analysis of sound chosen as JASA highlight

Article about new method for attack detection 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

 

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.

  • H酶ffding, Simon; Bergstr酶m, Rebecca Josefine Five; Bishop, Laura; Lucas Bravo, Pedro Pablo; Burnim, Kayla & Cancino-Chac贸n, Carlos Eduardo [Show all 28 contributors for this article] (2025). Introducing the MusicLab Copenhagen Dataset. . ISSN 2059-2043. doi: .
  • Ros-F谩bregas, Emilio; Page, Kevin; Saccomano, Mark; Lartillot, Olivier & Mazurenko, Anastasiia (2024). PERSPECTIVES ON DIGITAL MUSIC EDITION, HERITAGE PRESERVATION, ANNOTATION AND ANALYSIS: A COST ACTION MEETING IN BARCELONA. Anuario Musical. ISSN 0211-3538. doi: .
  • Christodoulou, Anna-Maria; Dutta, Sagar; Lartillot, Olivier Serge Gabriel; Glette, Kyrre & Jensenius, Alexander Refsum (2024). Exploring Convolutional Neural Network Models for Multimodal Classification of Expressive Piano Performance, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 2518-3672.
  • Christodoulou, Anna-Maria; Lartillot, Olivier & Jensenius, Alexander Refsum (2024). Multimodal music datasets? Challenges and future goals in music processing. . ISSN 2192-6611. 13(3). doi: .
  • Lartillot, Olivier (2024). Musicological and Technological Perspectives on Computational Analysis of Electroacoustic Music. In Jensenius, Alexander Refsum (Eds.), Sonic Design: Explorations Between Art and Science. . ISSN 978-3-031-57892-2. p. 271鈥297. doi: .
  • Danielsen, Anne; Br酶vig, Ragnhild; B酶hler, Kjetil Klette; C芒mara, Guilherme Schmidt; Haugen, Mari Romarheim & Jacobsen, Eirik [Show all 13 contributors for this article] (2024). There鈥檚 More to Timing than Time: Investigating Musical Microrhythm Across Disciplines and Cultures. . ISSN 0730-7829. 41(3), p. 176鈥198. doi: .
  • Thedens, Hans-Hinrich & Lartillot, Olivier (2023). AudioSegmentor: A tool for disseminating archival recordings online. . ISSN 0332-5024. 49(1), p. 92鈥101. doi: .
  • Lartillot, Olivier; Johansson, Mats Sigvard; Elowsson, Anders; Monstad, Lars L酶berg & Cyvin, Mattias Stor氓s (2023). A Dataset of Norwegian Hardanger Fiddle Recordings with Precise Annotation of Note and Beat Onsets. Transactions of the International Society for Music Information Retrieval. ISSN 2514-3298. 6(1), p. 186鈥202. doi: .
  • Maidhof, Clemens; M眉ller, Viktor; Lartillot, Olivier; Agres, Kat; Bloska, Jodie & Asano, Rie [Show all 8 contributors for this article] (2023). Intra- and inter-brain coupling and activity dynamics during improvisational music therapy with a person with dementia: an explorative EEG-hyperscanning single case study. . ISSN 1664-1078. 14. doi: .
  • Bishop, Laura; H酶ffding, Simon; Lartillot, Olivier Serge Gabriel & Laeng, Bruno (2023). Mental Effort and Expressive Interaction in Expert and Student String Quartet Performance. . ISSN 2059-2043. 6. doi: .
  • Szorkovszky, Alexander; Veenstra, Frank; Lartillot, Olivier Serge Gabriel; Jensenius, Alexander Refsum & Glette, Kyrre (2023). Embodied Tempo Tracking with a Virtual Quadruped, Proceedings of the Sound and Music Computing Conference 2023. SMC Network . ISSN 978-91-527-7372-7. doi: .
  • Lartillot, Olivier; Elovsson, Anders; Johansson, Mats Sigvard; Thedens, Hans-Hinrich & Monstad, Lars Alfred L酶berg (2022). Segmentation, Transcription, Analysis and Visualisation of the Norwegian Folk Music Archive. In Pugin, Laurent (Eds.), DLfM '22: 9th International Conference on Digital Libraries for Musicology. . ISSN 978-1-4503-9668-4. p. 1鈥9. doi: .
  • Juslin, Patrik N.; Sakka, Laura S.; Barradas, Gon莽alo T. & Lartillot, Olivier (2022). Emotions, mechanisms, and individual differences in music listening: A stratified random sampling approach. . ISSN 0730-7829. 40(1), p. 55鈥86. doi: .
  • Weisser, St茅phanie; Lartillot, Olivier & Sechehaye, H茅l猫ne (2021). . Cahiers d'ethnomusicologie. ISSN 2235-7688. 34, p. 37鈥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鈥181.
  • Lartillot, Olivier (2021). Computational Musicological Analysis of Notated Music: a Brief Overview. Nota Bene. ISSN 1891-4829. 15, p. 142鈥161.
  • Lartillot, Olivier; Nymoen, Kristian; C芒mara, Guilherme Schmidt & Danielsen, Anne (2021). Computational localization of attack regions through a direct observation of the audio waveform. . ISSN 0001-4966. 149(1), p. 723鈥736. doi: .
  • 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. . ISSN 978-0-9813537-0-8. p. 263鈥270.
  • Lartillot, Olivier & Bruford, Fred (2020). Bistate reduction and comparison of drum patterns, Proceedings of the 21st International Society for Music Information Retrieval (ISMIR) Conference. . ISSN 978-0-9813537-0-8. p. 318鈥324.
  • Lartillot, Olivier; Cancino-Chac贸n, 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鈥122.
  • C芒mara, 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. . ISSN 0730-7829. 38(1), p. 1鈥26. doi: .
  • C芒mara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier & Danielsen, Anne (2020). . . ISSN 0001-4966. 147(2), p. 1028鈥1041. doi: .
  • Alarc贸n Diaz, Ximena; Bojorquez, Lucia Nikolaia L贸pez; 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鈥檚 oral history archive. Acervo. ISSN 0102-700X. 32(3), p. 48鈥63.
  • Lartillot, Olivier & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation. . ISSN 2076-3417. 9(23). doi: .
  • Alarc贸n Diaz, Ximena; Lopez Boj贸rquez, 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鈥檚 oral history archive. Acervo. ISSN 0102-700X. 32(3), p. 48鈥63.
  • Lartillot, Olivier (2019). Miningsuite: A Comprehensive Matlab Framework for Signal, Audio and Music Analysis, Articulating Audio and Symbolic Approaches. In Barbancho, Isabel; Tard贸n, 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鈥489.
  • Lartillot, Olivier & Grandjean, Didier (2019). Tempo and Metrical Analysis by Tracking Multiple Metrical Levels Using Autocorrelation. In Barbancho, Isabel; Tard贸n, 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鈥181. doi: .

  • Lartillot, Olivier (2024). Introduction to the MiningSuite toolbox.
  • Lartillot, Olivier (2024). .
  • Ziegler, Michelle; Sudo, Marina; Akkermann, Miriam & Lartillot, Olivier (2024). Towards Collaborative Analysis: Kaija Saariaho鈥檚 IO.
  • Lartillot, Olivier (2024). Successes and challenges of computational approaches for audio and music analysis and for predicting music-evoked emotion.
  • Christodoulou, Anna-Maria; Dutta, Sagar; Lartillot, Olivier; Glette, Kyrre & Jensenius, Alexander Refsum (2024). Exploring Convolutional Neural Network Models for Multimodal Classification of Expressive Piano Performance.
  • Monstad, Lars L酶berg & Lartillot, Olivier (2024). muScribe: a new transcription service for music professionals.
  • Johansson, Mats Sigvard & Lartillot, Olivier (2024). Automated transcription of Hardanger fiddle music: Tracking the beats.
  • Monstad, Lars L酶berg & Lartillot, Olivier (2024). Automated transcription of Hardanger fiddle music: Detecting the notes.
  • Thedens, Hans-Hinrich & Lartillot, Olivier (2024). The Norwegian Catalogue of Folk Music Online.
  • Lartillot, Olivier (2024). Overview of the MIRAGE project.
  • Lartillot, Olivier (2024). MIRAGE Closing Seminar: Digitisation and computer-aided music analysis of folk music.
  • Lartillot, Olivier (2024). Real-time MIRAGE visualisation of Bartok's first quartet, first movement.
  • Lartillot, Olivier (2024). Harmonizing Tradition with Technology: Enhancing Norwegian Folk Music through Computational Innovation.
  • Monstad, Lars L酶berg & Lartillot, Olivier (2023). .
  • Maidhof, Clemens; Agres, Kat; Fachner, J枚rg & Lartillot, Olivier (2023). Intra- and inter-brain coupling during music therapy.
  • Wosch, Thomas; Vobig, Bastian; Lartillot, Olivier & Christodoulou, Anna-Maria (2023). HIGH-M (Human Interaction assessment and Generative segmentation in Health and Music).
  • Lartillot, Olivier (2023). Music Therapy Toolbox, and prospects.
  • Lartillot, Olivier; Swarbrick, Dana; Upham, Finn & Cancino-Chac贸n, Carlos Eduardo (2023). Video visualization of a string quartet performance of a Bach Fugue: Design and subjective evaluation.
  • Bishop, Laura; H酶ffding, Simon; Laeng, Bruno & Lartillot, Olivier (2023). Mental effort and expressive interaction in expert and student string quartet performance.
  • Lartillot, Olivier (2023). MIRAGE Symposium #2: Music, emotions, analysis, therapy ... and computer.
  • Lartillot, Olivier; Thedens, Hans-Hinrich; Mjelva, Olav Lukseng氓rd; Elovsson, Anders; Monstad, Lars L酶berg & Johansson, Mats Sigvard [Show all 8 contributors for this article] (2023). Norwegian Folk Music & Computational Analysis.
  • Lartillot, Olivier & Monstad, Lars L酶berg (2023). Computational music analysis: Significance, challenges, and our proposed approach.
  • Christodoulou, Anna-Maria; Lartillot, Olivier & Anagnostopoulou, Christina (2023). .
  • Lartillot, Olivier (2023). Dynamic Visualisation of Fugue Analysis, Demonstrated in a Live Concert by the Danish String Quartet.
  • Lartillot, Olivier (2023). Towards a comprehensive model for computational music transcription and analysis: a necessary dialog between machine learning and rule-based design?
  • Lartillot, Olivier & Monstad, Lars L酶berg (2023). MIRAGE - A Comprehensive AI-Based System for Advanced Music Analysis.
  • Lartillot, Olivier (2023). Computational audio and musical features extraction: from MIRtoolbox to the MiningSuite.
  • Bishop, Laura; H酶ffding, Simon; Lartillot, Olivier Serge Gabriel & Laeng, Bruno (2023). Mental effort and expressive interaction in expert and student string quartet performance.
  • Christodoulou, Anna-Maria; Lartillot, Olivier & Anagnostopoulou, Christina (2023). Computational Analysis of Greek Folk Music of the Aegean.
  • Lartillot, Olivier (2023). .
  • Lartillot, Olivier (2022). .
  • Lartillot, Olivier (2022). .
  • Lartillot, Olivier & Thedens, Hans-Hinrich (2022). .
  • Lartillot, Olivier; Elovsson, Anders; Johansson, Mats Sigvard; Thedens, Hans-Hinrich & Monstad, Lars Alfred L酶berg (2022). .
  • Lartillot, Olivier; God酶y, Rolf Inge & Christodoulou, Anna-Maria (2022). Computational detection and characterisation of sonic shapes: Towards a Toolbox des objets sonores.
  • Danielsen, Anne; C芒mara, 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). .
  • Lartillot, Olivier & Lillesl氓tten, Mari (2021). . [Internet]. Det humanistiske fakultet UiO YouTube account.
  • Lartillot, Olivier & Lillesl氓tten, Mari (2021). Artificial intelligence can help you understand music better. [Internet]. RITMO News.
  • God酶y, Rolf Inge & Lartillot, Olivier (2021).
  • Lartillot, Olivier; Guldbrandsen, Erling Eliseus & Cancino-Chac贸n, Carlos Eduardo (2021). .
  • Lartillot, Olivier; Elovsson, Anders & Mjelva, Olav Lukseng氓rd (2021). .
  • Lartillot, Olivier & Johansson, Mats Sigvard (2021). .
  • Lartillot, Olivier (2021). .
  • Elovsson, Anders & Lartillot, Olivier (2021). .
  • Lartillot, Olivier & Weisser, St茅phanie (2021). .
  • 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鈥10.
  • Lartillot, Olivier & Toiviainen, Petri (2020). [Internet]. Young Acousticians Network Newsletter.
  • Lartillot, Olivier & Bruford, Fred (2020). .
  • Lartillot, Olivier; Cancino-Chac贸n, Carlos & Brazier, Charles (2020). .
  • Lartillot, Olivier (2019). .
  • C芒mara, 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.
  • S酶rb酶, Solveig Isis; Bentham, John; Watson, Pia; Lartillot, Olivier; Gonzalez Sanchez, Victor Evaristo & Gonz谩lez, Mar铆a Isabel (2019). .
  • 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). .
  • Lartillot, Olivier (2018). .
  • Lartillot, Olivier (2018). .
  • Lartillot, Olivier & Jensenius, Alexander Refsum (2018). .
  • 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). .
  • Lartillot, Olivier (2018). .
  • Lartillot, Olivier (2018). .
  • Joachimiak, Grzegorz; Ahrendt, Rebekah & Lartillot, Olivier (2024). . Zenodo.
  • Christodoulou, Anna-Maria; Anagnostopoulou, Christina & Lartillot, Olivier (2022). Computational Analysis of Greek folk music of the Aegean islands. National and Kapodistrian University of Athens.

Published Aug. 9, 2018 11:06 AM - Last modified Apr. 22, 2025 6:40 PM

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