Matthew E. P. Davies

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Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyVerified email at surrey.ac.uk
Fabien GouyonPandoraVerified email at pandora.com
Gilberto BernardesINESC TEC & University of Porto, Faculty of EngineeringVerified email at fe.up.pt
Carlos GuedesNew York University Abu DhabiVerified email at nyu.edu
Jose Ricardo ZapataUniversidad Pontificia Bolivariana (UPB), Department of Information and Communication TechnologiesVerified email at upb.edu.co
Diogo CocharroINESC TEC, FEUPVerified email at inescporto.pt
Andre HolzapfelAssociate Professor, Royal Institute of TechnologyVerified email at kth.se
Adam StarkQueen Mary University of LondonVerified email at eecs.qmul.ac.uk
Marius MironMusic Technology Group, Pompeu Fabra University, BarcelonaVerified email at upf.edu
Masataka GotoPrime Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST)Verified email at aist.go.jp
Sebastian BöckenliteAIVerified email at enlite.ai
Jason HockmanAssociate Professor, Birmingham City UniversityVerified email at bcu.ac.uk
George SiorosUniversity of Plymouth, School of Society and CultureVerified email at plymouth.ac.uk
Kazuyoshi YoshiiAssociate Professor, Kyoto University / Team Leader, RIKENVerified email at i.kyoto-u.ac.jp
Matthias MauchApple, LondonVerified email at apple.com
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Marcelo CaetanoMarie Curie Fellow at CIRMMT - McGillVerified email at mcgill.ca
Douglas EckGoogle Research, Brain TeamVerified email at google.com
Serkan SulunResearcher, INESC TECVerified email at inesctec.pt
Andrew RobertsonCentre for Digital Music, Queen Mary University of LondonVerified email at eecs.qmul.ac.uk

Matthew E. P. Davies

University of Coimbra

Verified email at dei.uc.pt - Homepage

music information retrieval signal processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Context-dependent beat tracking of musical audio MEP Davies, MD Plumbley IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 1009-1020, 2007	286	2007
Evaluation of audio beat tracking and music tempo extraction algorithms MF McKinney, D Moelants, MEP Davies, A Klapuri Journal of New Music Research 36 (1), 1-16, 2007	164	2007
Evaluation methods for musical audio beat tracking algorithms MEP Davies, N Degara, MD Plumbley Queen Mary University of London, Centre for Digital Music, Tech. Rep. C4DM …, 2009	147	2009
Selective sampling for beat tracking evaluation A Holzapfel, MEP Davies, JR Zapata, JL Oliveira, F Gouyon IEEE Transactions on Audio, Speech, and Language Processing 20 (9), 2539-2548, 2012	130	2012
OMRAS2 metadata project 2009 M Mauch, C Cannam, M Davies, S Dixon, C Harte, S Kolozali, D Tidhar, ... Proc. of 10th International Conference on Music Information Retrieval, 1, 2009	106	2009
The effect of microtiming deviations on the perception of groove in short rhythms M Davies, G Madison, P Silva, F Gouyon Music Perception: An Interdisciplinary Journal 30 (5), 497-510, 2012	91	2012
Beat tracking with a two state model [music applications] MEP Davies, MD Plumbley Acoustics, Speech, and Signal Processing, 2005. Proceedings.(ICASSP'05 …, 2005	86	2005
AutoMashUpper: Automatic creation of multi-song music mashups MEP Davies, P Hamel, K Yoshii, M Goto IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (12 …, 2014	82	2014
Reliability-informed beat tracking of musical signals N Degara, EA Rúa, A Pena, S Torres-Guijarro, MEP Davies, MD Plumbley IEEE Transactions on Audio, Speech, and Language Processing 20 (1), 290-301, 2011	77	2011
Real-time beat-synchronous analysis of musical audio AM Stark, MEP Davies, MD Plumbley Proceedings of the 12th Int. Conference on Digital Audio Effects, Como …, 2009	69	2009
Syncopation creates the sensation of groove in synthesized music examples G Sioros, M Miron, M Davies, F Gouyon, G Madison Frontiers in psychology 5, 1036, 2014	68	2014
One in the Jungle: Downbeat Detection in Hardcore, Jungle, and Drum and Bass. J Hockman, MEP Davies, I Fujinaga ISMIR, 169-174, 2012	54	2012
Transfer learning in MIR: Sharing learned latent representations for music audio classification and similarity P Hamel, MEP Davies, K Yoshii, M Goto	50	2013
Causal Tempo Tracking of Audio. MEP Davies, MD Plumbley ISMIR, 2004	49	2004
A spectral difference approach to extracting downbeats in musical audio MEP Davies, MD Plumbley Proceedings of the 14th European Signal Processing Conference (EUSIPCO), 2006	48*	2006
A multi-level tonal interval space for modelling pitch relatedness and musical consonance G Bernardes, D Cocharro, M Caetano, C Guedes, MEP Davies Journal of New Music Research 45 (4), 281-294, 2016	46	2016
Multi-feature beat tracking JR Zapata, MEP Davies, E Gómez IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (4), 816-825, 2014	46	2014
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other. S Böck, MEP Davies, P Knees ISMIR, 486-493, 2019	39	2019
Assigning a confidence threshold on automatic beat annotation in large datasets JR Zapata, MEP Davies, A Holzapfel, JL Oliveira, F Gouyon 13th International Society for Music Information Retrieval Conference, 08/10 …, 2012	39	2012
AutoMashUpper: An automatic multi-song mashup system M Davies, P Hamel, K Yoshii, M Goto	37	2013

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