Dan Stowell
Orcid: 0000-0001-8068-3769
According to our database1,
Dan Stowell
authored at least 71 papers
between 2007 and 2024.
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Bibliography
2024
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation.
Sensors, April, 2024
PLoS Comput. Biol., 2024
Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics.
CoRR, 2024
Acoustic identification of individual animals with hierarchical contrastive learning.
CoRR, 2024
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics.
CoRR, 2024
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images.
CoRR, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Ecol. Informatics, November, 2023
PLoS Comput. Biol., October, 2023
Comparison between transformers and convolutional models for fine-grained classification of insects.
CoRR, 2023
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023
2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022
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.
Sensors, 2021
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., 2021
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.
CoRR, 2020
Short-term prediction of photovoltaic power generation using Gaussian process regression.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions.
CoRR, 2018
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge.
CoRR, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Data-efficient weakly supervised learning for low-resource audio event detection using deep learning.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
CoRR, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
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.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
IEEE Trans. Multim., 2015
Acoustic Scene Classification: Classifying environments from the sounds they produce.
IEEE Signal Process. Mag., 2015
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015
Proceedings of the Working Notes of CLEF 2015, 2015
2014
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning.
CoRR, 2014
Proceedings of the AES International Conference on Semantic Audio 2014, 2014
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
2013
J. Mach. Learn. Res., 2013
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.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the Music and Human-Computer Interaction., 2013
2012
Proceedings of the 20th European Signal Processing Conference, 2012
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.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
Proceedings of the 2011 International Computer Music Conference, 2011
2010
Cross-associating unlabelled timbre distributions to create expressive musical mappings.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
2009
IEEE Signal Process. Lett., 2009
Evaluation of live human-computer music-making: Quantitative and qualitative approaches.
Int. J. Hum. Comput. Stud., 2009
2008
Proceedings of the 8th International Conference on New Interfaces for Musical Expression, 2008
2007
Proceedings of the 2007 International Computer Music Conference, 2007