Dan Stowell

According to our database, Dan Stowell authored at least 65 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation.

Drew Priebe, Burooj Ghani, Dan Stowell

Sensors, April, 2024

ATGNN: Audio Tagging Graph Neural Network.

Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell

IEEE Signal Process. Lett., 2024

2023

Learning to detect an animal sound from five examples.

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

Ecol. Informatics, November, 2023

Adaptive representations of sound for automatic insect recognition.

Marius Faiß, Dan Stowell

PLoS Comput. Biol., October, 2023

Auto deep learning for bioacoustic signals.

Giulio Tosato, Abdelrahman Shehata, Joshua Janssen, Kees Kamp, Pramatya Jati, Dan Stowell

CoRR, 2023

Comparison between transformers and convolutional models for fine-grained classification of insects.

Rita Pucci, Vincent J. Kalkman, Dan Stowell

CoRR, 2023

Few-shot bioacoustic event detection at the DCASE 2023 challenge.

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

CoRR, 2023

Learning to detect an animal sound from five examples.

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

CoRR, 2023

Perceptual Musical Similarity Metric Learning with Graph Neural Networks.

Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

2022

Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report).

Dan Stowell, Caitlin Black, Florencia Noriega, Sarab S. Sethi

CoRR, 2022

Rank-Based Loss For Learning Hierarchical Representations.

Inês Nolasco, Dan Stowell

Proceedings of the IEEE International Conference on Acoustics, 2022

Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes.

Alberto García Arroba Parrilla, Dan Stowell

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge.

Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, Emily Grout, J. Morford, Michael G. Emmerson, Frants H. Jensen, Ivan Kiskin, Helen Whitehead, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Multilabel Acoustic Event Classification Using Real-World Urban Data and Physical Redundancy of Sensors.

Ester Vidaña-Vila, Joan Navarro, Dan Stowell, Rosa Maria Alsina Pages

Sensors, 2021

Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks.

Ralph Simon, Karol Bakunowski, Angel Eduardo Reyes-Vasques, Marco Tschapka, Mirjam Knörnschild, Jan Steckel, Dan Stowell

PLoS Comput. Biol., 2021

Computational bioacoustics with deep learning: a review and roadmap.

Dan Stowell

CoRR, 2021

Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge.

Veronica Morfi, Inês Nolasco, Vincent Lostanlen, Shubhr Singh, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, David Benvent, Dan Stowell

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks.

Marco Comunità, Dan Stowell, Joshua D. Reiss

CoRR, 2020

Short-term prediction of photovoltaic power generation using Gaussian process regression.

Yahya Al Lawati, Jack Kelly, Dan Stowell

CoRR, 2020

Efficient Bird Sound Detection on the Bela Embedded System.

Alexandru-Marius Solomes, Dan Stowell

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

NIPS4Bplus: a richly annotated birdsong audio dataset.

Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell

PeerJ Comput. Sci., 2019

Efficient On-line Computation of Visibility Graphs.

Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler

CoRR, 2019

Visibility graphs for robust harmonic similarity measures between audio spectra.

Delia Fano Yela, Dan Stowell, Mark B. Sandler

CoRR, 2019

End-to-End Probabilistic Inference for Nonstationary Audio Analysis.

William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin

Proceedings of the 36th International Conference on Machine Learning, 2019

Unifying Probabilistic Models for Time-frequency Analysis.

William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin

Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain.

Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell

Proceedings of the IEEE International Conference on Acoustics, 2019

Spectral Visibility Graphs: Application to Similarity of Harmonic Signals.

Delia Fano Yela, Dan Stowell, Mark B. Sandler

Proceedings of the 27th European Signal Processing Conference, 2019

Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling.

Amogh Matt, Dan Stowell

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions.

Dan Stowell, Tereza Petrusková, Martin Sálek, Pavel Linhart

CoRR, 2018

Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge.

Dan Stowell, Yannis Stylianou, Mike Wood, Hanna Pamula, Hervé Glotin

CoRR, 2018

Deep Learning for Audio Transcription on Low-Resource Datasets.

Veronica Morfi, Dan Stowell

CoRR, 2018

Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation.

Delia Fano Yela, Dan Stowell, Mark B. Sandler

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

A Generative Model for Natural Sounds Based on Latent Force Modelling.

William J. Wilkinson, Joshua D. Reiss, Dan Stowell

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Data-efficient weakly supervised learning for low-resource audio event detection using deep learning.

Veronica Morfi, Dan Stowell

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts.

Dan Stowell, Emmanouil Benetos, Lisa F. Gill

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music.

Pablo A. Alvarado, Dan Stowell

CoRR, 2017

Deductive refinement of species labelling in weakly labelled birdsong recordings.

Veronica Morfi, Dan Stowell

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Detailed temporal structure of communication networks in groups of songbirds.

Dan Stowell, Lisa F. Gill, David Clayton

CoRR, 2016

Bird detection in audio: A survey and a challenge.

Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Gaussian processes for music audio modelling and content analysis.

Pablo A. Alvarado, Dan Stowell

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls.

Dan Stowell, Veronica Morfi, Lisa F. Gill

Proceedings of the Interspeech 2016, 2016

2015

Detection and Classification of Acoustic Scenes and Events.

Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Mark D. Plumbley

IEEE Trans. Multim., 2015

Acoustic Scene Classification: Classifying environments from the sounds they produce.

Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley

IEEE Signal Process. Mag., 2015

Denoising without access to clean data using a partitioned autoencoder.

Dan Stowell, Richard E. Turner

CoRR, 2015

Acoustic event detection for multiple overlapping similar sources.

Dan Stowell, David Clayton

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio.

Dan Stowell

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning.

Dan Stowell, Mark D. Plumbley

CoRR, 2014

Acoustic Scene Classification.

Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley

CoRR, 2014

An Open Dataset for Research on Audio Field Recording Archives: freefield1010.

Dan Stowell, Mark D. Plumbley

Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Audio-only Bird Classification Using Unsupervised Feature Learning.

Dan Stowell, Mark D. Plumbley

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Segregating event streams and noise with a Markov renewal process model.

Dan Stowell, Mark D. Plumbley

J. Mach. Learn. Res., 2013

Large-scale analysis of frequency modulation in birdsong databases.

Dan Stowell, Mark D. Plumbley

CoRR, 2013

Detection and classification of acoustic scenes and events: An IEEE AASP challenge.

Dimitrios Giannoulis, Emmanouil Benetos, Dan Stowell, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering.

Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley

Proceedings of the IEEE International Conference on Acoustics, 2013

A database and challenge for acoustic scene classification and event detection.

Dimitrios Giannoulis, Dan Stowell, Emmanouil Benetos, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley

Proceedings of the 21st European Signal Processing Conference, 2013

Live Music-Making: A Rich Open Task Requires a Rich Open Interface.

Dan Stowell, Alex McLean

Proceedings of the Music and Human-Computer Interaction., 2013

2012

Framewise heterodyne chirp analysis of birdsong.

Dan Stowell, Mark D. Plumbley

Proceedings of the 20th European Signal Processing Conference, 2012

Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series.

Dan Stowell, Elaine Chew

Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012

2011

MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes.

Dan Stowell, Simon Dixon

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Scheduling and composing with Risset eternal accelerando rhythms.

Dan Stowell

Proceedings of the 2011 International Computer Music Conference, 2011

2010

Cross-associating unlabelled timbre distributions to create expressive musical mappings.

Dan Stowell, Mark D. Plumbley

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

2009

Fast Multidimensional Entropy Estimation by k -d Partitioning.

Dan Stowell, Mark D. Plumbley

IEEE Signal Process. Lett., 2009

Evaluation of live human-computer music-making: Quantitative and qualitative approaches.

Dan Stowell, Andrew Robertson, Nick Bryan-Kinns, Mark D. Plumbley

Int. J. Hum. Comput. Stud., 2009

2008

Discourse Analysis Evaluation Method for Expressive Musical Interfaces.

Dan Stowell, Mark D. Plumbley, Nick Bryan-Kinns

Proceedings of the 8th International Conference on New Interfaces for Musical Expression, 2008

2007

Adaptive whitening for Improved Real-Time audio onset Detection.

Dan Stowell, Mark D. Plumbley

Proceedings of the 2007 International Computer Music Conference, 2007