W. Bas de Haas

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Anja VolkProfessor of Music Information Computing, Utrecht UniversityVerified email at uu.nl
Frans WieringUtrecht UniversityVerified email at uu.nl
Remco C. Veltkampprofessor of Computer Science, Utrecht UniversityVerified email at uu.nl
Hendrik Vincent KoopsSenior Machine Learning & Audio Scientist @ Universal Music GroupVerified email at umusic.com
José Pedro MagalhãesStandard Chartered BankVerified email at cs.ox.ac.uk
Jeroen BransenUtrecht UniversityVerified email at uu.nl
John Ashley BurgoyneUniversity of AmsterdamVerified email at uva.nl
Peter Van KranenburgResearcher, Meertens Institute, AmsterdamVerified email at meertens.knaw.nl
Henkjan HoningProfessor of Music Cognition, Faculty of Humanities & Faculty of Science, University of AmsterdamVerified email at uva.nl
Martin RohrmeierAssociate Professor of Digital Musicology, École Polytechnique Fédérale de LausanneVerified email at epfl.ch
Pierre HannaLaBRI, University BordeauxVerified email at labri.fr
Matthias RobineMaître de Conférences, Université de Bordeaux, LaBRI.Verified email at labri.fr
Maarten GrachtenIndependent Machine Learning ConsultantVerified email at grachten.eu
Dimitrios BountouridisHuawei TechnologiesVerified email at huawei.com
Tijmen RuizendaalChordifyVerified email at chordify.net
Meinard MüllerInternational Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Verified email at audiolabs-erlangen.de
Hendrik Schreibertagtraum industries incorporatedVerified email at tagtraum.com
Jonathan DriedgerChordifyVerified email at chordify.net
Johan PauwelsQueen Mary University of LondonVerified email at qmul.ac.uk
Marcelo Rodríguez-LópezPhD candidateVerified email at uu.nl

W. Bas de Haas

Chordify

Verified email at chordify.net - Homepage

music information retrieval harmony


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Swing once more: Relating timing and tempo in expert jazz drumming H Honing, WB De Haas Music perception 25 (5), 471-476, 2008	102	2008
Annotator subjectivity in harmony annotations of popular music HV Koops, WB De Haas, JA Burgoyne, J Bransen, A Kent-Muller, A Volk Journal of New Music Research 48 (3), 232-252, 2019	72	2019
Modeling harmonic similarity using a generative grammar of tonal harmony WB De Haas, M Rohrmeier, RC Veltkamp, F Wiering International Society for Music Information Retrieval (ISMIR), 1-6, 2009	72	2009
Tonal pitch step distance: a similarity measure for chord progressions WB de Haas, RC Veltkamp, F Wiering Proceedings of the International Conference on Music Information Retrieval …, 2008	67	2008
Evaluating the role of repeated patterns in folk song classification and compression P Boot, A Volk, WB de Haas Journal of New Music Research 45 (3), 223-238, 2016	52	2016
Improving audio chord transcription by exploiting harmonic and metric knowledge WB de Haas, JP Magalhães, F Wiering International Society for Music Information Retrieval Conference, 295--300, 2012	52	2012
Automatic functional harmonic analysis WB de Haas, JP Magalhaes, F Wiering, RC Veltkamp Computer Music Journal 37 (4), 37--53, 2014	47*	2014
A Functional Approach To Automatic Melody Harmonisation HV Koops, JP Magalhaes, WB de Haas Workshop on Functional Art, Music, Modeling and Design (FARM), 2013	41	2013
A geometrical distance measure for determining the similarity of musical harmony WB De Haas, F Wiering, RC Veltkamp International Journal of Multimedia Information Retrieval 2 (3), 189-202, 2013	41	2013
Finding repeated patterns in music: State of knowledge, challenges, perspectives B Janssen, WB De Haas, A Volk, P Van Kranenburg Sound, Music, and Motion: 10th International Symposium, CMMR 2013, Marseille …, 2014	40	2014
Functional modelling of musical harmony: an experience report JP Magalhaes, WB de Haas ACM SIGPLAN Notices 46 (9), 156-162, 2011	35	2011
Towards Modelling Variation in Music as Foundation for Similarity A Volk, WB de Haas, P van Kranenburg International Conference on Music Perception and Cognition, 2012	32	2012
A corpus-based study on ragtime syncopation A Volk, WB de Haas Internation Society for Music Information Retrieval, 163--168, 2013	29	2013
Predicting Expressive Dynamics in Piano Performances Using Neural Networks S van Herwaarden, M Grachten, WB de Haas International Society for Music Information Retrieval Conference, 47--53, 2014	28	2014
Music information retrieval based on tonal harmony WB de Haas Utrecht University, 2012	27	2012
Discovering repeated patterns in music: state of knowledge, challenges, perspectives B Janssen, WB De Haas, A Volk, P Van Kranenburg Proc. of the 10th International Symposium on Computer Music …, 2013	25	2013
HarmTrace: improving harmonic similarity estimation using functional harmony analysis WB de Haas, JP Magalhaes, RC Veltkamp, F Wiering International Society for Music Information Retrieval Conference (ISMIR), 67--72, 2011	24	2011
Comparing approaches to the similarity of musical chord sequences WB de Haas, M Robine, P Hanna, R Veltkamp, F Wiering Exploring Music Contents, 242-258, 2011	23*	2011
Meter detection in symbolic music using Inner Metric Analysis WB de Haas, A Volk International Society for Music Information Retrieval Conference, 441--447, 2016	20	2016
Integration and quality assessment of heterogeneous chord sequences using data fusion HV Koops, WB de Haas, D Bountouridis, A Volk International Society for Music Information Retrieval Conference, 178-184, 2016	17	2016

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