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  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: DR Daniel Stowell

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Ghani B, Kalkman VJ, Planqué B, Vellinga W-P, Gill L, Stowell D ( 2025 ) . Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification . Scientific Reports vol. 15 , ( 1 ) Article 16273 ,
Pucci R, Kalkman VJ, Stowell D ( 2025 ) . Performance of Computer Vision Algorithms for Fine‐Grained Classification Using Crowdsourced Insect Images . IET Computer Vision vol. 19 , ( 1 ) Article e70006 ,
Singh S, Benetos E, Phan H, Stowell D ( 2025 ) . LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification\n and Tagging .
Kershenbaum A, Akçay Ç, Babu‐Saheer L, Barnhill A, Best P, Cauzinille J, Clink D, Dassow A et al. ( 2024 ) . Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists . Biological Reviews vol. 100 , ( 2 ) 620 - 646 .
Zandberg L, Morfi V, George JM, Clayton DF, Stowell D, Lachlan RF ( 2024 ) . Bird song comparison using deep learning trained from avian perceptual judgments . PLOS Computational Biology vol. 20 , ( 8 ) e1012329 - e1012329 .
Rasmussen JH, Stowell D, Briefer EF ( 2024 ) . Sound evidence for biodiversity monitoring . Science vol. 385 , ( 6705 ) 138 - 140 .
Priebe D, Ghani B, Stowell D ( 2024 ) . Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation . Sensors vol. 24 , ( 7 ) 2046 - 2046 .
Nolasco I, Moummad I, Stowell D, Benetos E ( 2024 ) . Acoustic identification of individual animals with hierarchical contrastive learning . CoRR vol. abs/2409.08673 ,
Liang J, Nolasco I, Ghani B, Phan H, Benetos E, Stowell D ( 2024 ) . Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection . EUSIPCO . 1257 - 1261 .
Bubnicki JW, Norton B, Baskauf SJ, Bruce T, Cagnacci F, Casaer J, Churski M, Cromsigt JPGM et al. ( 2023 ) . Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data . Remote Sensing in Ecology and Conservation vol. 10 , ( 3 ) 283 - 295 .
Nolasco I, Singh S, Morfi V, Lostanlen V, Strandburg-Peshkin A, Vidaña-Vila E, Gill L, Pamuła H et al. ( 2023 ) . Learning to detect an animal sound from five examples . Ecological Informatics vol. 77 , Article 102258 , 102258 - 102258 .
Faiß M, Stowell D ( 2023 ) . Adaptive representations of sound for automatic insect recognition . PLOS Computational Biology vol. 19 , ( 10 ) e1011541 - e1011541 .
Chetouani M, Briefer EF, Dassow A, Marxer R, Moore RK, Obin N, Stowell D ( 2023 ) . Vocal interactivity in-and-between humans, animals and robots . Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems vol. 24 , ( 1 ) 1 - 4 .
Singh S, Steinmetz CJ, Benetos E, Phan H, Stowell D ( 2023 ) . ATGNN: Audio Tagging Graph Neural Network . CoRR vol. abs/2311.01526 ,
Vahidi C, Singh S, Benetos E, Phan H, Stowell D, Fazekas G, Lagrange M ( 2023 ) . Perceptual Musical Similarity Metric Learning with Graph Neural Networks . WASPAA . 1 - 5 .
Nolasco I, Stowell D ( 2022 ) . Rank-Based Loss For Learning Hierarchical Representations . ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . Conference: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) from: 23/05/2022 to: 27/05/2022 , 3623 - 3627 .
Linhart P, Mahamoud-Issa M, Stowell D, Blumstein DT ( 2022 ) . The potential for acoustic individual identification in mammals . Mammalian Biology vol. 102 , ( 3 ) 667 - 683 .
Stowell D ( 2022 ) . Computational bioacoustics with deep learning: a review and roadmap . PeerJ vol. 10 , Article e13152 , e13152 - e13152 .
Simon R, Bakunowski K, Reyes-Vasques AE, Tschapka M, Knörnschild M, Steckel J, Stowell D ( 2021 ) . Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks . PLOS Computational Biology vol. 17 , ( 12 ) e1009706 - e1009706 .
Comunità M, Stowell D, Reiss JD ( 2021 ) . Guitar Effects Recognition and Parameter Estimation With Convolutional Neural Networks . Journal of the Audio Engineering Society vol. 69 , ( 7/8 ) 594 - 604 .
Vidaña-Vila E, Navarro J, Stowell D, Alsina-Pagès RM ( 2021 ) . Multilabel Acoustic Event Classification Using Real-World Urban Data and Physical Redundancy of Sensors . Sensors vol. 21 , ( 22 ) 7470 - 7470 .
Morfi V, Lachlan RF, Stowell D ( 2021 ) . Deep perceptual embeddings for unlabelled animal sound events . The Journal of the Acoustical Society of America vol. 150 , ( 1 ) 2 - 11 .
Vidaña-Vila E, Navarro J, Borda-Fortuny C, Stowell D, Alsina-Pagès RM ( 2020 ) . Low-Cost Distributed Acoustic Sensor Network for Real-Time Urban Sound Monitoring . Electronics vol. 9 , ( 12 ) 2119 - 2119 .
Stowell D, Kelly J, Tanner D, Taylor J, Jones E, Geddes J, Chalstrey E ( 2020 ) . A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK . Scientific Data vol. 7 , ( 1 ) Article 394 ,
Lawati YA, Kelly J, Stowell D ( 2020 ) . Short-term prediction of photovoltaic power generation using Gaussian\n process regression .
Stowell D, Sueur J ( 2020 ) . Ecoacoustics: acoustic sensing for biodiversity monitoring at scale . Remote Sensing in Ecology and Conservation vol. 6 , ( 3 ) 217 - 219 .
Solomes A-M, Stowell D ( 2020 ) . Efficient Bird Sound Detection on the Bela Embedded System . ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . Conference: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) from: 04/05/2020 to: 08/05/2020 , 746 - 750 .
Yela DF, Stowell D, Sandler M ( 2019 ) . Spectral Visibility Graphs: Application to Similarity of Harmonic Signals . 2019 27th European Signal Processing Conference (EUSIPCO) . Conference: 2019 27th European Signal Processing Conference (EUSIPCO) from: 02/09/2019 to: 06/09/2019 , 1 - 5 .
Matt A, Stowell D ( 2019 ) . Estimating & Mitigating the Impact of Acoustic Environments on\n Machine-to-Machine Signalling .
Stowell D . State of the Art in Computational Bioacoustics and Machine Learning: How far have we come? . Biodiversity Information Science and Standards . vol. 3 ,
Yela DF, Stowell D, Sandler M ( 2019 ) . Spectral Visibility Graphs: Application to Similarity of Harmonic\n Signals .
Wilkinson WJ, Andersen MR, Reiss JD, Stowell D, Solin A ( 2019 ) . End-to-End Probabilistic Inference for Nonstationary Audio Analysis .
Yela DF, Thalmann F, Nicosia V, Stowell D, Sandler MB ( 2019 ) . Efficient On-line Computation of Visibility Graphs . CoRR vol. abs/1905.03204 ,
Morfi V, Bas Y, Pamuła H, Glotin H, Stowell D ( 2018 ) . NIPS4Bplus: a richly annotated birdsong audio dataset .
Wilkinson WJ, Andersen MR, Reiss JD, Stowell D, Solin A ( 2018 ) . Unifying Probabilistic Models for Time-Frequency Analysis .
Alvarado PA, Álvarez MA, Stowell D ( 2018 ) . Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in\n the Time-Domain .
Stowell D, Petrusková T, Šálek M, Linhart P ( 2018 ) . Automatic acoustic identification of individual animals: Improving\n generalisation across species and recording conditions .
Morfi V, Stowell D ( 2018 ) . Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event\n Detection Using Deep Learning .
Stowell D, Stylianou Y, Wood M, Pamuła H, Glotin H ( 2018 ) . Automatic acoustic detection of birds through deep learning: the first\n Bird Audio Detection challenge .
Morfi V, Stowell D ( 2018 ) . Deep Learning for Audio Transcription on Low-Resource Datasets .
Yela DF, Stowell D, Sandler M ( 2018 ) . Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal\n Separation .
Wilkinson WJ, Reiss JD, Stowell D ( 2018 ) . A Generative Model for Natural Sounds Based on Latent Force Modelling .
Benetos E, Stowell D, Plumbley MD ( 2017 ) . Approaches to Complex Sound Scene Analysis . Computational Analysis of Sound Scenes and Events , Springer International Publishing
Stowell D ( 2017 ) . Computational Bioacoustic Scene Analysis . Computational Analysis of Sound Scenes and Events , Springer International Publishing
Benetos E, Stowell D, Plumbley MD ( 2017 ) . Approaches to complex sound scene analysis . Computational Analysis of Sound Scenes and Events ,
Alvarado PA, Stowell D ( 2017 ) . Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic\n Music .
Wilkinson WJ, Reiss JD, Stowell D ( 2017 ) . Latent force models for sound: Learning modal synthesis parameters and excitation functions from audio recordings . Proceedings of the International Conference on Digital Audio Effects Dafx . 56 - 63 .
WILKINSON WJ, stowell D, reiss J ( 2016 ) . Performable Spectral Synthesis via Low-Dimensional Modelling and\nControl 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 ,
Stowell D, Wood M, Stylianou Y, Glotin H ( 2016 ) . Bird detection in audio: a survey and a challenge .
Alvarado PA, Stowell D ( 2016 ) . Gaussian Processes for Music Audio Modelling and Content Analysis .
Morfi V, Stowell D ( 2016 ) . Deductive Refinement of Species Labelling in Weakly Labelled Birdsong\n Recordings .
Stowell D, Morfi V, Gill LF ( 2016 ) . Individual identity in songbirds: signal representations and metric\n learning for locating the information in complex corvid calls .
Stowell D, Gill L, Clayton D ( 2016 ) . Detailed temporal structure of communication networks in groups of\n songbirds .
Stowell D, Benetos E, Gill LF ( 2016 ) . On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts . CoRR vol. abs/1612.05489 ,
Stowell D, Turner RE ( 2015 ) . Denoising without access to clean data using a partitioned autoencoder .
Stowell D, Clayton D ( 2015 ) . Acoustic event detection for multiple overlapping similar sources .
Barchiesi D, Giannoulis D, Stowell D, Plumbley MD ( 2015 ) . Acoustic Scene Classification: Classifying environments from the sounds they produce . IEEE Signal Process. Mag. vol. 32 , Article 3 , 16 - 34 .
Stowell D ( 2015 ) . BirdCLEF 2015 submission: Unsupervised feature learning from audio . Ceur Workshop Proceedings . vol. 1391 ,
Stowell D, Giannoulis D, Benetos E, Lagrange M, Plumbley MD ( 2015 ) . Detection and Classification of Acoustic Scenes and Events . IEEE Trans. Multim. vol. 17 , Article 10 , 1733 - 1746 .
Stowell D, Plumbley MD ( 2014 ) . Automatic large-scale classification of bird sounds is strongly improved\n by unsupervised feature learning . PeerJ vol. 2 ,
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, Plumbley MD ( 2013 ) . Large-scale analysis of frequency modulation in birdsong databases . Methods in Ecology and Evolution, Volume 5, Issue 9, pages\n 901-912, September 2014
Stowell D, Plumbley MD ( 2013 ) . An open dataset for research on audio field recording archives:\n freefield1010 .
Stowell D, Dixon S ( 2013 ) . Integration of informal music technologies in secondary school music lessons . British Journal of Music Education vol. 31 , ( 1 ) 19 - 39 .
Stowell D, Muševič S, Bonada J, Plumbley MD ( 2013 ) . Improved multiple birdsong tracking with distribution derivative method\n and Markov renewal process clustering .
Stowell D, Chew E ( 2013 ) . Maximum a posteriori estimation of piecewise arcs in tempo time-series .
Stowell D, McLean A ( 2013 ) . Live Music-Making: A Rich Open Task Requires a Rich Open Interface . 139 - 152 .
Giannoulis D, Stowell D, Benetos E, Rossignol M, Lagrange M, Plumbley MD ( 2013 ) . A database and challenge for acoustic scene classification and event detection . EUSIPCO . 1 - 5 .
Giannoulis D, Benetos E, Stowell D, Rossignol M, Lagrange M, Plumbley MD ( 2013 ) . Detection and classification of acoustic scenes and events: An IEEE AASP challenge . WASPAA . 1 - 4 .
Stowell D, McLean A ( 2013 ) . Live music-making: a rich open task requires a rich open interface . Music and Human-Computer Interaction , Springer ( London ),
Stowell D, Plumbley MD ( 2012 ) . FRAMEWISE HETERODYNE CHIRP ANALYSIS OF BIRDSONG . 2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) . 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, Plumbley MD ( 2012 ) . Segregating event streams and noise with a Markov renewal process model . CoRR vol. abs/1211.2972 ,
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 .
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 Conference Ismir 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 . International Computer Music Conference Icmc Proceedings . 474 - 477 .
Stowell D ( 2011 ) . Writing Unit Generator Plugins . The SuperCollider Book , MIT Press ( Cambridge, MA ),
Stowell D, Plumbley MD ( 2010 ) . Delayed Decision-making in Real-time Beatbox Percussion Classification . Journal of New Music Research vol. 39 , ( 3 ) 203 - 213 .
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 . WAPA . vol. 11 , 28 - 35 .
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 .
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. Stud. vol. 67 , Article 11 , 960 - 975 .
Stowell D, Plumbley MD ( 2009 ) . Fast Multidimensional Entropy Estimation by k -d Partitioning . IEEE Signal Process. Lett. vol. 16 , Article 6 , 537 - 540 .
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 . NIME . 81 - 86 .
Stowell D, Plumbley MD ( 2008 ) . Robustness and independence of voice timbre features under live performance acoustic degradations . Proceedings of the International Conference on Digital Audio Effects Dafx . 325 - 332 .
Stowell D, Plumbley M ( 2007 ) . Adaptive whitening for improved real-time audio onset detection . International Computer Music Conference Icmc 2007 . 312 - 319 .
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