Resources / Research Centers

Here is a list of research laboratories working on MIR problems.

The entries are sorted first by alphabetical order of their country code, and secondly by group name.

Please create a pull request to contribute to this list.

Name	Affiliation	Country code	Principal Investigator	Description
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
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
Digital and Cognitive Musicology Lab (DCML)	École Polytechnique Fédérale de Lausanne (EPFL)	CH	Martin Rohrmeier
Music X Lab	MBZUAI	UAE	Gus Xia
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)
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
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
Institute of Music Science and Engineering	King Mongkut’s Institute of Technology Ladkrabang (KMITL)	TH	Pitak Thumwarin
Music and AI Lab	Academia Sinica	TWN	Yi-Hsuan Yang
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.
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
Sound and Music Analysis Group (SoMA)	Birmingham City University	UK	Jason Hockman, Ryan Stables
(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
Music Engagement Research Initiative (MERI)	Stanford University	USA	Jonathan Berger (PI), Chris Chafe
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