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awesome-mir-labs

A full collection of Music Informatic Retrieval (MIR) and AI Music labs. It is forked from ismir.net, but with more up-to-date information.

Please open a PR to add or update the lab information. It is also welcomed to post PhD hiring messages in the disscussion forum.

Active Labs

Name Affiliation Country/Region PI Notes Research Area
Laboratory of Computational Intelligence U. of São Paulo and Institute of Mathematics and Computer Sciences BR Diego Furtado Silva Research areas: MIR, Representation Learning, Multimodal approaches.
Pattern Recognition and Artificial Intelligence Group (PRAIG) U. of Alicante ES Jorge Calvo Zaragoza Optical Music Recognition experts. MuRET tool developers. Research areas: OMR, Audio-to-Score, Multimodal approaches.
Music and Sound Cultures (MaSC) New York University Abu Dhabi AE Carlos Guedes
Music X Lab MBZUAI AE Gus Xia Selected pubs: POP909 dataset, PianoTree VAE, Full song generation.
Centre for Systematic Musicology U. of Graz AT Richard Parncutt
Institute of Computational Perception Johannes Kepler U., Linz AT Gerhard Widmer and Markus Schedl
Intelligent Music Processing and Machine Learning Group Austrian Research Institute for Artificial Intelligence (OFAI) AT Gerhard Widmer
Music Information Retrieval Lab Vienna U. of Technology AT Andreas Rauber
Universität für Musik und Darstellende Kunst Wien U. of Music and Performing Arts, Vienna AT Werner Goebl
Research about listening lab James Cook University AU Amanda Krause
Centre for Interdisciplinary Research in Music, Media and Technology (CIRMMT) McGill U. CA
Distributed Digital Music Archives & Libraries Lab (DDMAL) McGill U. CA Ichiro Fujinaga
Mistic University of Victoria CA George Tzanetakis
Metacreation Lab Simon Fraser University CA Philippe Pasquier
Digital and Cognitive Musicology Lab (DCML) École Polytechnique Fédérale de Lausanne (EPFL) CH Martin Rohrmeier
Music AI PhD Program Central Conservatory of Music (CCOM) CN Feng Yu
BLACK BOX German Research Center for AI (DFKI) DE Stephan Baumann
Gotham Lab T.U. Dortmund DE Mark Gotham
Institute for Music Informatics and Musicology U. of Music, Karlsruhe DE Thomas Seedorf
International Audio Laboratories Erlangen FAU and Fraunhofer IIS, Erlangen DE Meinard Müller Development of audio and multimedia technologies
Semantic Music Technologies Fraunhofer Institute for Digital Media Technology DE Hanna Lukashevich
Special Interest Group on Music Analysis (N/A) DE (N/A)
Computational Humanities (CH) group Universität Würzburg DE Christof Weiß
Music Informatics and Cognition Group, CREATE Aalborg U. DK David Meredith
Application of Information and Communication Technologies Research Group U. of Málaga ES Lorenzo J. Tardón and Isabel Barbancho Perez
ATIC-amuses Universidad de Málaga ES Lorenzo J. Tardon / Isabel Barbancho
Instituto Complutense de Ciencias Musicales (ICCMU) U. Complutense de Madrid ES Álvaro Torrente Sánchez-Guisande
Music Technology Group U. Pompeu Fabra, Barcelona ES Xavier Serra Specialized in sound and music computing. With more than 50 researchers, the MTG carries out research on topics such as audio signal processing, sound and music description, musical interfaces, sound and music communities and performance modeling among others
'Algomus' ('Algorithmic Musicology') group Université de Lille, CRIStAL FR Mathieu Giraud Research lab on computational music analysis, focusing on large-scale analysis of scores
Audio Data Analysis and Signal Processing (ADASP) Télécom Paris / Institut Polytechnique de Paris FR Slim Essid
Centre d'Études Supérieures de la Renaissance (CESR) U. de Tours FR
Institut de Recherche et Coordination Acoustique / Musique (IRCAM) Paris FR Frank Madlener
IReMus Paris FR
Institut de Recherche en Informatique de Toulouse (IRIT) Toulouse FR The SAMoVA team focuses its research activities mainly on audiovisual content structuring, analysis and modeling. The MELODI team focuses on natural language processing.
Laboratoire Bordelais de Recherche en Informatique (LaBRI) and Studio de Création Musical (SCRIME) Bordeaux FR Part of the French CNRS. The first research interest implies music information retrieval for enhancing music recommendations and automatic playlist creation. The second research interest involve creating new ways to play music interactively which is supported in the free and open-source intermedia sequencer i-score.
Laboratory of Digital Sciences of Nantes (LS2N) The French National Center for Scientific Research (CNRS) FR Mathieu Lagrange, Vincent Lostanlen
- Chinese University of Hong Kong (CUHK) HK Qiuqiang Kong New AP from 2024. Pubs: PANNS, GiantMIDI-Piano.
McDermott Group School of Computer Science, University of Galway IE James McDermott Generative music, evolutionary algorithms, music information retrieval, traditional music.
Digital Audio Processing Lab I.I.T. Bombay IN Preeti Rao
Music Informatics Laboratory (LIM), Dept. of Computer Science U. of Milan IT Goffredo Haus
Media Interaction Group, Information Technology Research Institute (ITRI) National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba JPN Masataka Goto
Music and Audio Computing Lab Korea Advanced Institute of Science and Technology (KAIST) KOR Juhan Nam
Music and Audio Research Group (MARG) Seoul National U. KOR Kyogu Lee
Multimedia Computing Group T.U. Delft NL Cynthia Liem and Julián Urbano working on music The MMC Group develops algorithms for enriching, accessing, and searching large quantities of multimedia data. Our work on Music Information Retrieval focuses on search, recommendation, similarity, evaluation and methodological issues.
Utrecht MIR Lab Utrecht University NL Anja Volk and Frans Wiering
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion Department of Musicology U. of Oslo NO Anne Danielsen
UP Digital Signal Processing Laboratory University of the Philippines (Diliman Campus) PH Crisron Rudolf G. Lucas
MIR Group University of Coimbra PRT Rui Pedro Paiva
Arts, Culture, Ai Lab Royal Institute of Technology (KTH) SE Bob L. T. Sturm, André Holzapfel
NUS Sound and Music Computing Lab National University of Singapore SG Ye Wang
AMAAI Lab Singapore University of Technology and Design SG Dorien Herremans
Institute of Music Science and Engineering King Mongkut's Institute of Technology Ladkrabang (KMITL) TH Pitak Thumwarin
Music and AI Lab Academia Sinica TW Yi-Hsuan Yang
Music and Culture Technology Lab Academia Sinica TW Su Li
Centre for Computer Music Research (ICCMR) U. of Plymouth UK Eduardo Miranda and Alexis Kirke
Centre for Digital Music (C4DM) Queen Mary, U. of London UK Mark Sandler and Simon Dixon C4DM is a world-leading multidisciplinary research group in the field of music and audio technology. Research ranges from record/replay equipment to the simulation and synthesis of instruments and voices, acoustic spaces, music understanding, delivery and retrieval. With a strong focus on making innovation usable, we are ideally placed to work with industry leaders in forging new business models for the music industry.
MIMA Sheffield University UK Guy Brown
Centre for Research in New Music (CeReNeM) U. of Huddersfield UK Michael Clarke
Music Computing and Psychology Lab University of York UK Tom Collins
Music Informatics Research Group (MIRG) City U. London UK Tillman Weyde
Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey UK Wenwu Wang, Mark D. Plumbley This lab is a multi-interdisciplinary, where parts of researchers work on audio processing. Audio processing
Sound and Music Analysis Group (SoMA) Birmingham City University UK Jason Hockman, Ryan Stables
Augmented Instruments Lab Imperial College London UK Andrew McPherson Moving to Imperial from Queen Mary since 2023. Augmented Instruments
- University of the Arts London UK Nick Bryan-Kinns Moving to UAL from Queen Mary since 2024. Human-Centred AI and eXplainable AI for the Arts
(Centre for) Practice and Research in Science and Music, (PRiSM) RNCM and U. of Oxford UK Emily Howard and Marcus du Sautoy
Audio Information Research (AIR) Lab U. Rochester USA Zhiyao Duan
Center for Computer Assisted Research in the Humanities, (CCARH) Stanford U. USA Craig Sapp and Eleanor Selfridge-Field
Center for Music Technology (GTCMT) Georgia Tech USA Gil Weinberg
Cognitive and Systematic Musicology Laboratory (CSML) Ohio State U. USA David Huron
Computer Music Lab Cargenie Mellon University USA Roger B. Dannenberg
Generative Creativity Lab (G-CLef) Cargenie Mellon University USA Chris Donahue
Interactive Audio Lab Northwestern U. USA Bryan Pardo
International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL), School of Information Sciences U. of Illinois at Urbana-Champaign (UIUC) USA J. Stephen Downie
JimiLab Ithaca College USA Doug Turnbull
MuE: Music + Engineering U. of Miami USA
Music and Entertainment Technology Laboratory (MET-lab) Expressive and Creative Interaction Technologies (ExCITe) Center, Drexel U., Philadelphia USA Youngmoo Kim Devoted to research in digital media technologies that will shape the future of entertainment. MET-lab's primary research focus encompasses several areas: music information retrieval, music production technology, new musical interfaces, and musical humanoid robotics. The lab also emphasizes K-12 outreach and hosts Summer Music Technology, a one-week experience based educational curriculum for high school students.
Music and Audio Research Laboratory (MARL) New York U. USA Juan Pablo Bello Doctoral and masters programs in music technology in the heart of New York City. Main research areas include MIR, Immersive Audio, Music Cognition and Interactive Systems
Center for Computer Research in Music and Acoustics (CCRMA) Stanford University USA
Music Engagement Research Initiative (MERI) Stanford University USA Jonathan Berger (PI), Chris
Music Informatics Group Georgia Tech School of Music USA Alexander Lerch Research on audio content analysis and machine learning for music as part of the MS and PhD programs in Music Technology at Georgia Tech.
Sound Interaction and Computing (SInC) Lab New Jersey Institute of Technology USA Mark Cartwright
MIT Music Technology Massachusetts Institute of Technology USA Anna Huang New phd program from 2024 and ms program from 2025.
COSMAL University of California San Diego USA Shlomo Dubnov
BergLab University of California San Diego USA Taylor Berg-Kirkpatrick
- University of California San Diego USA Julian McAuley It is not a MIR-specific lab.
- University of Michigan USA Hao-wen Dong AP from 2024. Music generation. Selected pubs: MuseGAN.
- Cornell University USA John Thickstun AP from 2024. Selected pubs: MusicNet, Anticipatory Music Transformer.
Purdue music technology research group Purdue University USA

Inactive Labs

Name Affiliation Country/Region PI Notes

To-do

  • Map view
  • Filter out inactive labs (>5 years no MIR publication or new student)

References

https://ismir.net/resources/research-centers/

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A full collection of Music Informatic Retrieval (MIR) and AI Music labs.

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