Simon Dixon - Google Scholar Citations

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Citations	8092	3784
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Emmanouil BenetosQueen Mary University of London / The Alan Turing InstituteVerified email at qmul.ac.uk
Matthias MauchVisiting Lecturer at Queen Mary University of LondonVerified email at qmul.ac.uk
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Fabien GouyonPandoraVerified email at pandora.com
Werner GoeblDepartment of Music Acoustics, University of Music and Performing Arts ViennaVerified email at mdw.ac.at
Anssi KlapuriCTO, YousicianVerified email at yousician.com
Elias PampalkNuance CommunicationsVerified email at nuance.com
Mark SandlerQueen Mary University of LondonVerified email at eecs.qmul.ac.uk
Sebastian EwertML Research, Spotify. Honorary Lecturer, Queen Mary University of London.Verified email at spotify.com
George FazekasQueen Mary University of LondonVerified email at qmul.ac.uk
Yading SongQueen Mary University of LondonVerified email at qmul.ac.uk
Siddharth SigtiaApple Inc.Verified email at apple.com
Daniel StollerQueen Mary University LondonVerified email at qmul.ac.uk
Marcus PearceSenior Lecturer in Sound and Music Processing, Queen Mary University of LondonVerified email at qmul.ac.uk
Christopher HarteMelodient LimitedVerified email at melodient.com
Jiajie DaiPhD of Computer Science, University of LondonVerified email at qmul.ac.uk
Tillman WeydeSenior Lecturer in Computer Science, City University LondonVerified email at city.ac.uk
Chris CannamCentre for Digital Music, Queen Mary University of LondonVerified email at eecs.qmul.ac.uk
Emilios CambouropoulosAssociate professor in Music Informatics, Aristotle University of ThessalonikiVerified email at mus.auth.gr
Tian ChengMedia Interaction Group, AIST, JapanVerified email at aist.go.jp

Simon Dixon

Centre for Digital Music, Queen Mary University of London

Verified email at qmul.ac.uk - Homepage

Music Informatics music information retrieval sound and music computing audio signal processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatic extraction of tempo and beat from expressive performances S Dixon Journal of New Music Research 30 (1), 39-58, 2001	511	2001
Onset detection revisited S Dixon Proceedings of the 9th International Conference on Digital Audio Effects 120 …, 2006	421	2006
Automatic music transcription: challenges and future directions E Benetos, S Dixon, D Giannoulis, H Kirchhoff, A Klapuri Journal of Intelligent Information Systems 41 (3), 407-434, 2013	273	2013
An experimental comparison of audio tempo induction algorithms F Gouyon, A Klapuri, S Dixon, M Alonso, G Tzanetakis, C Uhle, P Cano IEEE Transactions on Audio, Speech, and Language Processing 14 (5), 1832-1844, 2006	260	2006
Evaluation of the audio beat tracking system beatroot S Dixon Journal of New Music Research 36 (1), 39-50, 2007	217	2007
A review of automatic rhythm description systems F Gouyon, S Dixon Computer music journal 29 (1), 34-54, 2005	214	2005
Match: A music alignment tool chest S Dixon, G Widmer 6th International Conference on Music Information Retrieval, 492-497, 2005	203	2005
Approximate Note Transcription for the Improved Identification of Difficult Chords. M Mauch, S Dixon ISMIR, 135-140, 2010	197	2010
An end-to-end neural network for polyphonic piano music transcription S Sigtia, E Benetos, S Dixon IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 927-939, 2016	194	2016
Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004	190	2004
Towards Characterisation of Music via Rhythmic Patterns. S Dixon, F Gouyon, G Widmer ISMIR, 2004	173	2004
Simultaneous estimation of chords and musical context from audio M Mauch, S Dixon IEEE Transactions on Audio, Speech, and Language Processing 18 (6), 1280-1289, 2009	172	2009
pYIN: A fundamental frequency estimator using probabilistic threshold distributions M Mauch, S Dixon 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	171	2014
Evaluating rhythmic descriptors for musical genre classification F Gouyon, S Dixon, E Pampalk, G Widmer Proceedings of the AES 25th International Conference, 196-204, 2004	171	2004
A survey of music recommendation systems and future perspectives Y Song, S Dixon, M Pearce 9th International Symposium on Computer Music Modeling and Retrieval 4, 395-410, 2012	160	2012
In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003	150	2003
Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003	142	2003
Live tracking of musical performances using on-line time warping S Dixon Proceedings of the 8th International Conference on Digital Audio Effects 92, 97, 2005	124	2005
Using Musical Structure to Enhance Automatic Chord Transcription. M Mauch, KC Noland, S Dixon ISMIR, 231-236, 2009	119	2009
Wave-u-net: A multi-scale neural network for end-to-end audio source separation D Stoller, S Ewert, S Dixon arXiv preprint arXiv:1806.03185, 2018	110	2018

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