Dan Stowell

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 62

Top Topics

Gaussian Process

Unsupervised Feature Learning

Top Venues

Publications

Rita Pucci, Vincent J. Kalkman, Dan Stowell
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images. CoRR (2024)
Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal-Adams, Mathieu Duteil, Gabriella Gall, Marius Faiß, Lily Johnson-Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, Ariana Strandburg-Peshkin
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics. CoRR (2024)
Drew Priebe, Burooj Ghani, Dan Stowell
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation. Sensors 24 (7) (2024)
Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell
ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Process. Lett. 31 (2024)
Inês Nolasco, Shubhr Singh, Veronica Morfi, Vincent Lostanlen, Ariana Strandburg-Peshkin, Ester Vidaña-Vila, Lisa F. Gill, Hanna Pamula, Helen Whitehead, Ivan Kiskin, Frants H. Jensen, Joe Morford, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Burooj Ghani, Dan Stowell
Learning to detect an animal sound from five examples. Ecol. Informatics 77 (2023)
Inês Nolasco, Burooj Ghani, Shubhr Singh, Ester Vidaña-Vila, Helen Whitehead, Emily Grout, Michael G. Emmerson, Frants H. Jensen, Ivan Kiskin, Joe Morford, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Dan Stowell
Few-shot bioacoustic event detection at the DCASE 2023 challenge. CoRR (2023)
Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange
Perceptual Musical Similarity Metric Learning with Graph Neural Networks. WASPAA (2023)
Marius Faiß, Dan Stowell
Adaptive Representations of Sound for Automatic Insect Recognition. CoRR (2023)
Marius Faiß, Dan Stowell
Adaptive representations of sound for automatic insect recognition. PLoS Comput. Biol. 19 (10) (2023)
Rita Pucci, Vincent J. Kalkman, Dan Stowell
Comparison between transformers and convolutional models for fine-grained classification of insects. CoRR (2023)
Giulio Tosato, Abdelrahman Shehata, Joshua Janssen, Kees Kamp, Pramatya Jati, Dan Stowell
Auto deep learning for bioacoustic signals. CoRR (2023)
Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell
ATGNN: Audio Tagging Graph Neural Network. CoRR (2023)
Drew Priebe, Burooj Ghani, Dan Stowell
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation. CoRR (2023)
Inês Nolasco, Shubhr Singh, Veronica Morfi, Vincent Lostanlen, Ariana Strandburg-Peshkin, Ester Vidaña-Vila, Lisa F. Gill, Hanna Pamula, Helen Whitehead, Ivan Kiskin, Frants H. Jensen, Joe Morford, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Dan Stowell
Learning to detect an animal sound from five examples. CoRR (2023)
Dan Stowell, Caitlin Black, Florencia Noriega, Sarab S. Sethi
Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report). CoRR (2022)
Inês Nolasco, Dan Stowell
Rank-Based Loss For Learning Hierarchical Representations. ICASSP (2022)
Alberto García Arroba Parrilla, Dan Stowell
Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes. DCASE (2022)
Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, E. Grout, J. Morford, M. G. Emmerson, F. H. Jensen, Ivan Kiskin, H. Whitehead, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell
Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. DCASE (2022)
Inês Nolasco, S. Singh, E. Vidana-Villa, E. Grout, J. Morford, M. Emmerson, F. Jensens, H. Whitehead, I. Kiskin, Ariana Strandburg-Peshkin, L. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell
Few-shot bioacoustic event detection at the DCASE 2022 challenge. CoRR (2022)
Alberto García Arroba Parrilla, Dan Stowell
Polyphonic sound event detection for highly dense birdsong scenes. CoRR (2022)
Veronica Morfi, Inês Nolasco, Vincent Lostanlen, Shubhr Singh, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, David Benvent, Dan Stowell
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. DCASE (2021)
Dan Stowell
Computational bioacoustics with deep learning: a review and roadmap. CoRR (2021)
Ester Vidaña-Vila, Joan Navarro, Dan Stowell, Rosa Maria Alsina Pages
Multilabel Acoustic Event Classification Using Real-World Urban Data and Physical Redundancy of Sensors. Sensors 21 (22) (2021)
Inês Nolasco, Dan Stowell
Rank-based loss for learning hierarchical representations. CoRR (2021)
Ralph Simon, Karol Bakunowski, Angel Eduardo Reyes-Vasques, Marco Tschapka, Mirjam Knörnschild, Jan Steckel, Dan Stowell
Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks. PLoS Comput. Biol. 17 (12) (2021)
Marco Comunità, Dan Stowell, Joshua D. Reiss
Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks. CoRR (2020)
Alexandru-Marius Solomes, Dan Stowell
Efficient Bird Sound Detection on the Bela Embedded System. ICASSP (2020)
Yahya Al Lawati, Jack Kelly, Dan Stowell
Short-term prediction of photovoltaic power generation using Gaussian process regression. CoRR (2020)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
Unifying Probabilistic Models for Time-frequency Analysis. ICASSP (2019)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. CoRR (2019)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. EUSIPCO (2019)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. ICML (2019)
Amogh Matt, Dan Stowell
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. EUSIPCO (2019)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Visibility graphs for robust harmonic similarity measures between audio spectra. CoRR (2019)
Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP (2019)
Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler
Efficient On-line Computation of Visibility Graphs. CoRR (2019)
Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell
NIPS4Bplus: a richly annotated birdsong audio dataset. PeerJ Comput. Sci. 5 (2019)
Amogh Matt, Dan Stowell
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. CoRR (2019)
Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. CoRR (2018)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. CoRR (2018)
Dan Stowell, Yannis Stylianou, Mike Wood, Hanna Pamula, Hervé Glotin
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge. CoRR (2018)
Veronica Morfi, Dan Stowell
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning. CoRR (2018)
Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell
NIPS4Bplus: a richly annotated birdsong audio dataset. CoRR (2018)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
Unifying Probabilistic Models for Time-Frequency Analysis. CoRR (2018)
Veronica Morfi, Dan Stowell
Deep Learning for Audio Transcription on Low-Resource Datasets. CoRR (2018)
Veronica Morfi, Dan Stowell
Data-efficient weakly supervised learning for low-resource audio event detection using deep learning. DCASE (2018)
William J. Wilkinson, Joshua D. Reiss, Dan Stowell
A Generative Model for Natural Sounds Based on Latent Force Modelling. LVA/ICA (2018)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. LVA/ICA (2018)
Dan Stowell, Tereza Petrusková, Martin Sálek, Pavel Linhart
Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. CoRR (2018)
William J. Wilkinson, Joshua D. Reiss, Dan Stowell
A Generative Model for Natural Sounds Based on Latent Force Modelling. CoRR (2018)
Pablo A. Alvarado, Dan Stowell
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music. CoRR (2017)
Dan Stowell, Emmanouil Benetos, Lisa F. Gill
On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. IEEE ACM Trans. Audio Speech Lang. Process. 25 (6) (2017)
Veronica Morfi, Dan Stowell
Deductive refinement of species labelling in weakly labelled birdsong recordings. ICASSP (2017)
Pablo A. Alvarado, Dan Stowell
Gaussian Processes for Music Audio Modelling and Content Analysis. CoRR (2016)
Pablo A. Alvarado, Dan Stowell
Gaussian processes for music audio modelling and content analysis. MLSP (2016)
Dan Stowell, Veronica Morfi, Lisa F. Gill
Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls. CoRR (2016)
Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin
Bird detection in audio: A survey and a challenge. MLSP (2016)
Dan Stowell, Lisa F. Gill, David Clayton
Detailed temporal structure of communication networks in groups of songbirds. CoRR (2016)
Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin
Bird detection in audio: a survey and a challenge. CoRR (2016)
Veronica Morfi, Dan Stowell
Deductive Refinement of Species Labelling in Weakly Labelled Birdsong Recordings. CoRR (2016)
Dan Stowell, Veronica Morfi, Lisa F. Gill
Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls. INTERSPEECH (2016)
Dan Stowell, Emmanouil Benetos, Lisa F. Gill
On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. CoRR (2016)
Dan Stowell, David Clayton
Acoustic event detection for multiple overlapping similar sources. CoRR (2015)
Dan Stowell, David Clayton
Acoustic event detection for multiple overlapping similar sources. WASPAA (2015)
Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
Acoustic Scene Classification: Classifying environments from the sounds they produce. IEEE Signal Process. Mag. 32 (3) (2015)
Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Mark D. Plumbley
Detection and Classification of Acoustic Scenes and Events. IEEE Trans. Multim. 17 (10) (2015)
Dan Stowell
BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio. CLEF (Working Notes) (2015)
Dan Stowell, Richard E. Turner
Denoising without access to clean data using a partitioned autoencoder. CoRR (2015)
Dan Stowell, Mark D. Plumbley
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. CoRR (2014)
Dan Stowell, Mark D. Plumbley
Audio-only Bird Classification Using Unsupervised Feature Learning. CLEF (Working Notes) (2014)
Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
Acoustic Scene Classification. CoRR (2014)
Dan Stowell, Mark D. Plumbley
An Open Dataset for Research on Audio Field Recording Archives: freefield1010. Semantic Audio (2014)
Dan Stowell, Mark D. Plumbley
An open dataset for research on audio field recording archives: freefield1010. CoRR (2013)
Dan Stowell, Mark D. Plumbley
Segregating event streams and noise with a Markov renewal process model. J. Mach. Learn. Res. 14 (1) (2013)
Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering CoRR (2013)
Dimitrios Giannoulis, Dan Stowell, Emmanouil Benetos, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
A database and challenge for acoustic scene classification and event detection. EUSIPCO (2013)
Dimitrios Giannoulis, Emmanouil Benetos, Dan Stowell, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
Detection and classification of acoustic scenes and events: An IEEE AASP challenge. WASPAA (2013)
Dan Stowell, Elaine Chew
Maximum a posteriori estimation of piecewise arcs in tempo time-series CoRR (2013)
Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. ICASSP (2013)
Dan Stowell, Mark D. Plumbley
Large-scale analysis of frequency modulation in birdsong databases. CoRR (2013)
Dan Stowell, Mark D. Plumbley
Framewise heterodyne chirp analysis of birdsong. EUSIPCO (2012)
Dan Stowell, Elaine Chew
Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series. CMMR (2012)
Dan Stowell, Mark D. Plumbley
Segregating event streams and noise with a Markov renewal process model CoRR (2012)
Dan Stowell, Simon Dixon
MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. ISMIR (2011)
Dan Stowell
Scheduling and composing with Risset eternal accelerando rhythms. ICMC (2011)
Dan Stowell, Mark D. Plumbley
Cross-associating unlabelled timbre distributions to create expressive musical mappings. WAPA (2010)
Dan Stowell, Mark D. Plumbley
Fast Multidimensional Entropy Estimation by k -d Partitioning. IEEE Signal Process. Lett. 16 (6) (2009)
Dan Stowell, Andrew Robertson, Nick Bryan-Kinns, Mark D. Plumbley
Evaluation of live human-computer music-making: Quantitative and qualitative approaches. Int. J. Hum. Comput. Stud. 67 (11) (2009)
Dan Stowell, Mark D. Plumbley, Nick Bryan-Kinns
Discourse Analysis Evaluation Method for Expressive Musical Interfaces. NIME (2008)
Dan Stowell, Mark D. Plumbley
Adaptive whitening for Improved Real-Time audio onset Detection. ICMC (2007)