Dan Stowell
Dan Stowell
Verified email at eecs.qmul.ac.uk
...
TitleCited byYear
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
2422015
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
1712015
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
1662013
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
D Stowell, MD Plumbley
PeerJ, 2014
1332014
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
1162009
Adaptive whitening for improved real-time audio onset detection
D Stowell, M Plumbley
Proceedings of the 2007 International Computer Music Conference, ICMC 2007 …, 2007
702007
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
632013
Fast Multidimensional Entropy Estimation by k-d Partitioning.
D Stowell, MD Plumbley
IEEE Signal Process. Lett. 16 (6), 537-540, 2009
562009
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
542016
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
492008
Characteristics of the beatboxing vocal style
D Stowell, MD Plumbley
Dept. of Electronic Engineering, Queen Mary, University of London, Technical …, 2008
392008
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
332011
Making music through real-time voice timbre analysis: machine learning and timbral control
D Stowell
332010
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
282014
Acoustic event detection for multiple overlapping similar sources
D Stowell, D Clayton
2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015
252015
Live music-making: a rich open task requires a rich open interface
D Stowell, A McLean
252011
Large‐scale analysis of frequency modulation in birdsong data bases
D Stowell, MD Plumbley
Methods in Ecology and Evolution 5 (9), 901-912, 2014
202014
Integration of informal music technologies in secondary school music lessons
D Stowell, S Dixon
British Journal of Music Education 31 (01), 19-39, 2014
202014
Segregating event streams and noise with a Markov renewal process model.
D Stowell, MD Plumbley
Journal of Machine Learning Research 14 (1), 2213-2238, 2013
202013
MIREX 2013 Entry: Vamp Plugins from the Centre for Digital Music
C Cannam, M Mauch, MEP Davies, S Dixon, C Landone, K Noland, ...
17*
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