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Publications:  Dr Daniel Stowell

Fano Yela D, Thalmann F, Nicosia V, Stowell D, Sandler M(2020). Online visibility graphs: Encoding visibility in a binary search tree. Physical Review Research vol. 2, (2) Article 023069,
10.1103/physrevresearch.2.023069
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64425
Matt A, Stowell D (2019). Estimating & mitigating the impact of acoustic environments on machine-to-machine signalling. European Signal Processing Conference. vol. 2019-September,
10.23919/EUSIPCO.2019.8902634
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59860
Yela DF, Stowell D, Sandler M (2019). Spectral visibility graphs: Application to similarity of harmonic signals. European Signal Processing Conference. vol. 2019-September,
10.23919/EUSIPCO.2019.8903056
https://qmro.qmul.ac.uk/xmlui/handle/123456789/57578
Alvarado PA, Alvarez MA, Stowell D (2019). Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Conference: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 2019-May, 995-999.
10.1109/ICASSP.2019.8683287
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59262
Wilkinson WJ, Riis Andersen M, Reiss JD, Stowell D, Solin A (2019). Unifying Probabilistic Models for Time-frequency Analysis. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Conference: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 2019-May, 3352-3356.
10.1109/ICASSP.2019.8682306
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59261
Stowell D, Petrusková T, Šálek M, Linhart P(2019). Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. Journal of the Royal Society Interface vol. 16, (153)
10.1098/rsif.2018.0940
https://qmro.qmul.ac.uk/xmlui/handle/123456789/57785
Morfi V, Bas Y, Pamula H, Glotin H, Stowell D(2019). NIPS4Bplus: A richly annotated birdsong audio dataset. PeerJ Computer Science vol. 2019, (10)
10.7717/peerj-cs.223
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59861
Stowell D, Wood MD, Pamu¿a H, Stylianou Y, Glotin H(2018). Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge. Methods in Ecology and Evolution
10.1111/2041-210X.13103
https://qmro.qmul.ac.uk/xmlui/handle/123456789/53489
Morfi V, Stowell D(2018). Deep Learning for Audio Event Detection and Tagging on Low-Resource Datasets. Applied Sciences
10.3390/app8081397
https://qmro.qmul.ac.uk/xmlui/handle/123456789/43923
Wilkinson WJ, Reiss JD, Stowell D (2018). A generative model for natural sounds based on latent force modelling. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Conference: LVA-ICA vol. 10891 LNCS, 259-269.
10.1007/978-3-319-93764-9_25
https://qmro.qmul.ac.uk/xmlui/handle/123456789/42563
Fano Yela D, Stowell D, Sandler M (2018). Does K matter? k-NN hubness analysis for kernel additive modelling vocal separation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Conference: LVA-ICA vol. 10891 LNCS, 280-289.
10.1007/978-3-319-93764-9_27
https://qmro.qmul.ac.uk/xmlui/handle/123456789/43083
BENETOS E, STOWELL D, PLUMBLEY M(2018). Approaches to complex sound scene analysis. Computational Analysis of Sound Scenes and Events, Editors: Virtanen, T, PLUMBLEY, M, Ellis, D, Edition. 1, Springer International Publishing
Wilkinson WJ, Reiss JD, Stowell D (2017). Latent force models for sound: Learning modal synthesis parameters and excitation functions from audio recordings. DAFx 2017 - Proceedings of the 20th International Conference on Digital Audio Effects. Conference: Proceedings of the 20th International Conference on Digital Audio Effects (DAFx-17)56-63.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/28403
Stowell D, Benetos E, Gill LF(2017). On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. IEEE/ACM Trans. Audio, Speech & Language Processing vol. 25, (6) 1193-1206.
10.1109/TASLP.2017.2690565
https://qmro.qmul.ac.uk/xmlui/handle/123456789/18483
STOWELL D(2017). Computational Bioacoustic Scene Analysis. Computational Analysis of Sound Scenes and Events, Editors: Virtanen, T, PLUMBLEY, MD, Ellis, D, Edition. 1, Springer
Morfi V, STOWELL DF (2017). Deductive Refinement of Species Labelling in Weakly Labelled Birdsong Recordings. Conference: International Conference on Acoustics, Speech and Signal Processing (ICASSP2017 ) (New Orleans, USA) from: 05/03/2017 to: 09/03/2017,
10.1109/ICASSP.2017.7952237
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22292
WILKINSON WJ, stowell D, reiss J (2016). Performable Spectral Synthesis via Low-Dimensional Modelling and Control Mapping. DMRN+11: Digital Music Research Network Workshop Proceedings 2016. Conference: DMRN+11: Digital Music Research Network One-day Workshop 2016 (Centre for Digital Music, Queen Mary University of London) from: 20/12/2016 to: 20/12/2016,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/19351
STOWELL DF, Wood M, Stylianou Y, Glotin H (2016). Bird Detection In Audio: A Survey And A Challenge. Conference: IEEE International Workshop on Machine Learning for Signal Processing (MLSP) from: 13/09/2016 to: 16/09/2016,
10.1109/MLSP.2016.7738875
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15095
Alvarado PA, Stowell D (2016). Gaussian processes for music audio modelling and content analysis. IEEE International Workshop on Machine Learning for Signal Processing, MLSP. vol. 2016-November,
10.1109/MLSP.2016.7738836
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15094
STOWELL DF, Morfi GV, Gill LF (2016). Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls. https://www.isca-speech.org/archive/Interspeech_2016/pdfs/0465.PDF. Conference: InterSpeech (San Francisco) from: 08/06/2016 to: 12/09/2016,
10.21437/Interspeech.2016-465
https://qmro.qmul.ac.uk/xmlui/handle/123456789/13269
STOWELL DF, Gill LF, Clayton D(2016). Detailed temporal structure of communication networks in groups of songbirds. Journal of the Royal Society Interface vol. 13, (119)
10.1098/rsif.2016.0296
https://qmro.qmul.ac.uk/xmlui/handle/123456789/13351
Stowell D, Clayton D (2015). Acoustic event detection for multiple overlapping similar sources. 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015.
10.1109/WASPAA.2015.7336885
https://qmro.qmul.ac.uk/xmlui/handle/123456789/42883
Stowell D, Giannoulis D, Benetos E, Lagrange M, Plumbley MD(2015). Detection and Classification of Acoustic Scenes and Events. IEEE Transactions on Multimedia vol. 17, (10) 1733-1746.
10.1109/TMM.2015.2428998
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9390
Barchiesi D, Giannoulis DD, Stowell D, Plumbley MD(2015). Acoustic Scene Classification: Classifying environments from the sounds they produce. IEEE Signal Processing Magazine vol. 32, (3) 16-34.
10.1109/MSP.2014.2326181
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9956
Stowell D (2015). BirdCLEF 2015 submission: Unsupervised feature learning from audio. CEUR Workshop Proceedings. vol. 1391,
Stowell D, Plumbley MD(2014). Large-scale analysis of frequency modulation in birdsong data bases. METHODS IN ECOLOGY AND EVOLUTION vol. 5, (9) 901-912.
10.1111/2041-210X.12223
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9951
Stowell D, Plumbley MD(2014). Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. PeerJ vol. 2, e488-e488.
10.7717/peerj.488
https://qmro.qmul.ac.uk/xmlui/handle/123456789/7662
Barchiesi D, Giannoulis D, Stowell D, Plumbley MD(2014). Acoustic Scene Classification. CoRR vol. abs/1411.3715,
Stowell D, Plumbley MD (2014). Audio-only bird classification using unsupervised feature learning. CEUR Workshop Proceedings. vol. 1180, 673-684.
Stowell D, Dixon S(2014). Integration of informal music technologies in secondary school music lessons. British Journal of Music Education vol. 31, (1) 19-39.
10.1017/S026505171300020X
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9954
Giannoulis D, Benetos E, Stowell D, Rossignol M, Lagrange M, Plumbley M (2013). Detection and classification of acoustic scenes and events: an IEEE AASP challenge. Conference: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (New Paltz, NY, USA) from: 20/10/2013 to: 23/10/2013,
10.1109/WASPAA.2013.6701819
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9439
Stowell D, Muševi¿ S, Bonada J, Plumbley MD (2013). Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 468-472.
10.1109/ICASSP.2013.6637691
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9952
Stowell D, Plumbley MD(2013). Segregating event streams and noise with a Markov renewal process model. CoRR vol. abs/1211.2972,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9955
Giannoulis D, Stowell D, Benetos E, Rossignol M, Lagrange M, Plumbley MD (2013). A database and challenge for acoustic scene classification and event detection. European Signal Processing Conference.
Stowell D, McLean A(2013). Live music-making: a rich open task requires a rich open interface. Music and Human-Computer Interaction, Editors: Holland, S, Wilkie, K, Mulholland, P, Seago, A et al., Springer (London),
Stowell D, Chew E (2012). Bayesian MAP estimation of piecewise arcs in tempo time-series. Proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval (CMMR). Conference: 9th International Symposium on Computer Music Modeling and Retrieval CMMR 2012 (London) from: 19/06/2012 to: 22/06/2012,
10.1007/978-3-642-41248-6_22
https://qmro.qmul.ac.uk/xmlui/handle/123456789/43085
Stowell D, Plumbley MD (2012). Framewise heterodyne chirp analysis of birdsong. 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). from: 27/08/2012 to: 31/08/2012, 2694-2698.
Stowell D, Plumbley MD (2012). Multi-target pitch tracking of vibrato sources in noise using the GM-PHD filter. Proceedings of the 5th International Workshop on Machine Learning and Music (MML12). Conference: 5th International Workshop on Machine Learning and Music (MML12) (Edinburgh, Scotland) from: 30/06/201227-28.
Stowell D, McLean A (2011). Live music-making: a rich open task requires a rich open interface. Proceedings of the BCS HCI 2011 Workshop - When Words Fail: What can Music Interaction tell us about HCI?.
10.1007/978-1-4471-2990-5_8
Stowell D, Plumbley MD(2011). Learning Timbre Analogies from Unlabelled Data by Multivariate Tree Regression. JOURNAL OF NEW MUSIC RESEARCH vol. 40, (4) 325-336.
10.1080/09298215.2011.596938
https://qmro.qmul.ac.uk/xmlui/handle/123456789/2584
Stowell D, Dixon S (2011). MIR in school? Lessons from ethnographic observation of secondary school music classes. Proceedings of the 12th International Society for Music Information Retrieval (ISMIR) Conference. Conference: ISMIR 2011 (Miami, Florida, USA) from: 24/10/2011 to: 28/10/2011, 347-352.
Stowell D, Barthet M, Dixon S, Sandler M (2011). Musicology for the masses: Situating new audio technologies for musicology and music education. Proceedings of the Digital Economy All Hands Conference 2011. Conference: Digital Engagement 2011 (Newcastle) from: 15/11/2011 to: 17/11/2011,
Stowell D (2011). Scheduling and composing with Risset eternal accelerando rhythms. Proceedings of the International Computer Music Conference (ICMC).
Stowell D(2011). Writing Unit Generator Plugins. The SuperCollider Book, Editors: Wilson, S, Cottle, D, Collins, N, MIT Press (Cambridge, MA),
Stowell D, Plumbley MD (2010). Birdsong and C4DM: A survey of UK birdsong and machine recognition for music researchers. report no. C4DM-TR-09-12,
Stowell D, Plumbley MD (2010). Cross-associating unlabelled timbre distributions to create expressive musical mappings. Proceedings of the First Workshop on Applications of Pattern Analysis, Sept 1-3, 2010, Cumberland Lodge, Windsor, UK. vol. 11, 28-35.
Stowell D, Plumbley MD(2010). Delayed Decision-making in Real-time Beatbox Percussion Classification. J NEW MUSIC RES vol. 39, (3) 203-213.
10.1080/09298215.2010.512979
https://qmro.qmul.ac.uk/xmlui/handle/123456789/2581
Stowell D (2010). Making music through real-time voice timbre analysis: machine learning and timbral control. Notes: date-added: 2010-05-01 14:49:10 +0100 date-modified: 2010-08-13 14:40:18 +0100 bdsk-url-1: http://www.mcld.co.uk/thesis/ ,
Stowell D, Plumbley MD (2010). Timbre remapping through a regression-tree technique. Proceedings of the 7th Sound and Music Computing Conference (SMC 2010), Barcelona, Spain, 21-24 July 2010.
Stowell D, Robertson A, Bryan-Kinns N, Plumbley MD(2009). Evaluation of live human-computer music-making: Quantitative and qualitative approaches. INT J HUM-COMPUT ST vol. 67, (11) 960-975.
10.1016/j.ijhcs.2009.05.007
https://qmro.qmul.ac.uk/xmlui/handle/123456789/2562
Stowell D, Plumbley MD(2009). Fast Multidimensional Entropy Estimation by k-d Partitioning. IEEE SIGNAL PROC LET vol. 16, (6) 537-540.
10.1109/LSP.2009.2017346
https://qmro.qmul.ac.uk/xmlui/handle/123456789/2561
Stowell D, Plumbley MD (2008). Robustness and independence of voice timbre features under live performance acoustic degradations. Proc. 11th Conference on Digital Audio Effects (DAFx-08). 325-332.
Stowell D, Plumbley MD (2008). Characteristics of the beatboxing vocal style. report no. C4DM-TR-08-01,
Stowell D, Plumbley MD, Bryan-Kinns N (2008). Discourse analysis evaluation method for expressive musical interfaces. Conference: 8th International Conference on New Interfaces for Musical Expression (NIME 2008) (Genoa (Italy)) from: 05/06/2008 to: 07/06/2008, 81-87.
Stowell D, Plumbley MD (2007). Adaptive Whitening for Improved Real-Time Audio Onset Detection. Conference: Proceedings of the International Computer Music Conference (ICMC'07), Copenhagen, Denmark, pp 312-319, August 2007
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