| 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 | 328 | 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 | 219 | 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 | 197 | 2013 |
| Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning D Stowell, MD Plumbley PeerJ, 2014 | 152 | 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 | 117 | 2009 |
| 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 |
| 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 | 75 | 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 | 74 | 2013 |
| Fast Multidimensional Entropy Estimation by k-d Partitioning. D Stowell, MD Plumbley IEEE Signal Process. Lett. 16 (6), 537-540, 2009 | 63 | 2009 |
| 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 | 46 | 2008 |
| Characteristics of the beatboxing vocal style D Stowell, MD Plumbley Dept. of Electronic Engineering, Queen Mary, University of London, Technical …, 2008 | 40 | 2008 |
| 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 | 38 | 2019 |
| 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 |
| 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 |
| 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 | 32 | 2014 |
| 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 | 25 | 2018 |
| 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 | 25 | 2017 |
| 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 |
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyDirección de correo verificada de surrey.ac.uk
