Dan Stowell - Google Scholar Citations

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	All	Since 2015
Citations	2060	1705
h-index	23	18
i10-index	31	28

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20082009201020112012201320142015201620172018201920206 22 28 30 48 101 110 157 223 363 411 452 97

Co-authors

Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyVerified email at surrey.ac.uk
Dimitrios GiannoulisC4DM, Queen Mary University of londonVerified email at credit-suisse.com
Emmanouil BenetosQueen Mary University of London / The Alan Turing InstituteVerified email at qmul.ac.uk
Mathieu LagrangeCNRS Researcher @ ls2nVerified email at cnrs.fr
Veronica MorfiQueen Mary University of LondonVerified email at qmul.ac.uk
Prof. Nick Bryan-KinnsQueen Mary University of LondonVerified email at acm.org
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Hervé Glotinhonorary member of Institut Universitaire France (iuf.amue.fr), Université de Toulon, LIS CNRSVerified email at univ-tln.fr
Daniele BarchiesiPostdoctoral researcher, Queen Mary University of LondonVerified email at eecs.qmul.ac.uk
Dr Mike WoodReader in Applied Ecology, University of SalfordVerified email at salford.ac.uk
Yannis StylianouProfessor of Speech Signal Processing, University of Crete and Senior Research Scientist at AppleVerified email at csd.uoc.gr
Lisa F. GillCenter for Advanced European Study and ResearchVerified email at caesar.de
david claytonProfessor of Neuroscience, Queen Mary University of LondonVerified email at qmul.ac.uk
Andrew RobertsonCentre for Digital Music, Queen Mary University of LondonVerified email at eecs.qmul.ac.uk
William J. Wilkinsonpostdoc, Aalto UniversityVerified email at aalto.fi
Pablo A. AlvaradoQueen Mary University of LondonVerified email at qmul.ac.uk
Joshua D. Reissqueen mary university of londonVerified email at qmul.ac.uk
Mark SandlerQueen Mary University of LondonVerified email at eecs.qmul.ac.uk
Chris CannamCentre for Digital Music, Queen Mary University of LondonVerified email at eecs.qmul.ac.uk
Alex McLeanResearch Institute, Deutsches Museum MunichVerified email at deutsches-museum.de

Dan Stowell

Queen Mary University of London

Verified email at eecs.qmul.ac.uk

...


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Detection and classification of acoustic scenes and events D Stowell, D Giannoulis, E Benetos, M Lagrange, M Plumbley IEEE Transactions on Multimedia 17 (10), 1733-1746, 2015	349	2015
Acoustic scene classification: Classifying environments from the sounds they produce D Barchiesi, D Giannoulis, D Stowell, MD Plumbley IEEE Signal Processing Magazine 32 (3), 16-34, 2015	236	2015
Detection and classification of acoustic scenes and events: An IEEE AASP challenge D Giannoulis, E Benetos, D Stowell, M Rossignol, M Lagrange, ... 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013	206	2013
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning D Stowell, MD Plumbley PeerJ, 2014	162	2014
Evaluation of live human–computer music-making: Quantitative and qualitative approaches D Stowell, A Robertson, N Bryan-Kinns, MD Plumbley International Journal of Human-Computer Studies 67 (11), 960-975, 2009	118	2009
Bird detection in audio: a survey and a challenge D Stowell, M Wood, Y Stylianou, H Glotin Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International …, 2016	86	2016
A database and challenge for acoustic scene classification and event detection D Giannoulis, D Stowell, E Benetos, M Rossignol, M Lagrange, ... Proceedings of the European Signal Processing Conference (EUSIPCO 2013), 2013	78	2013
Adaptive whitening for improved real-time audio onset detection D Stowell, M Plumbley Proceedings of the 2007 International Computer Music Conference, ICMC 2007 …, 2007	77	2007
Fast Multidimensional Entropy Estimation by k-d Partitioning. D Stowell, MD Plumbley IEEE Signal Process. Lett. 16 (6), 537-540, 2009	63	2009
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge D Stowell, MD Wood, H Pamuła, Y Stylianou, H Glotin Methods in Ecology and Evolution 10 (3), 368-380, 2019	50	2019
Discourse analysis evaluation method for expressive musical interfaces D Stowell, MD Plumbley, N Bryan-Kinns Proceedings of the International Conference on New Interfaces for Musical …, 2008	47	2008
Characteristics of the beatboxing vocal style D Stowell, MD Plumbley Dept. of Electronic Engineering, Queen Mary, University of London, Technical …, 2008	40	2008
Acoustic event detection for multiple overlapping similar sources D Stowell, D Clayton 2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015	35	2015
An open dataset for research on audio field recording archives: freefield1010 D Stowell, MD Plumbley Proceedings of the AES Conference on Semantic Audio Conference (AES53), 2014	35	2014
Birdsong and C4DM: A survey of UK birdsong and machine recognition for music researchers D Stowell, MD Plumbley Centre for Digital Music, Queen Mary, University of London, London, UK, Tech …, 2011	35	2011
Making music through real-time voice timbre analysis: machine learning and timbral control D Stowell	34	2010
On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts D Stowell, E Benetos, LF Gill IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1193 …, 2017	29	2017
Live music-making: a rich open task requires a rich open interface D Stowell, A McLean	29	2011
Computational Bioacoustic Scene Analysis D Stowell Computational Analysis of Sound Scenes and Events, 303-333, 2018	28	2018
Integration of informal music technologies in secondary school music lessons D Stowell, S Dixon British Journal of Music Education 31 (01), 19-39, 2014	25	2014

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