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2020 – today
- 2024
[j13]Drew Priebe, Burooj Ghani
, Dan Stowell:
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation. Sensors 24(7): 2046 (2024)- [j12]Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell:
ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Process. Lett. 31: 825-829 (2024) - [c33]Jinhua Liang, Inês Nolasco, Burooj Ghani, Huy Phan, Emmanouil Benetos, Dan Stowell:
Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. EUSIPCO 2024: 1257-1261 - [i47]Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images. CoRR abs/2404.03474 (2024) - [i46]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 abs/2406.01253 (2024) - [i45]Inês Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos:
Acoustic identification of individual animals with hierarchical contrastive learning. CoRR abs/2409.08673 (2024) - [i44]Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa F. Gill, Dan Stowell:
Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics. CoRR abs/2409.15383 (2024) - 2023
- [j11]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: 102258 (2023) - [j10]Marius Faiß, Dan Stowell:
Adaptive representations of sound for automatic insect recognition. PLoS Comput. Biol. 19(10) (2023) - [c32]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: 1-5 - [i43]Marius Faiß, Dan Stowell:
Adaptive Representations of Sound for Automatic Insect Recognition. CoRR abs/2304.12739 (2023) - [i42]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 abs/2305.13210 (2023) - [i41]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 abs/2306.09223 (2023) - [i40]Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Comparison between transformers and convolutional models for fine-grained classification of insects. CoRR abs/2307.11112 (2023) - [i39]Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell:
ATGNN: Audio Tagging Graph Neural Network. CoRR abs/2311.01526 (2023) - [i38]Giulio Tosato, Abdelrahman Shehata, Joshua Janssen, Kees Kamp, Pramatya Jati, Dan Stowell:
Auto deep learning for bioacoustic signals. CoRR abs/2311.04945 (2023) - [i37]Drew Priebe, Burooj Ghani, Dan Stowell:
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation. CoRR abs/2312.09269 (2023) - 2022
- [c31]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:
Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. DCASE 2022 - [c30]Alberto García Arroba Parrilla, Dan Stowell:
Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes. DCASE 2022 - [c29]Inês Nolasco, Dan Stowell:
Rank-Based Loss For Learning Hierarchical Representations. ICASSP 2022: 3623-3627 - [e1]Mathieu Lagrange, Annamaria Mesaros, Thomas Pellegrini, Gaël Richard, Romain Serizel, Dan Stowell:
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022. Tampere University 2022, ISBN 978-952-03-2677-7 [contents] - [i36]Alberto García Arroba Parrilla, Dan Stowell:
Polyphonic sound event detection for highly dense birdsong scenes. CoRR abs/2207.06349 (2022) - [i35]Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, Emily Grout, J. Morford, Michael G. Emmerson, Frants H. Jensen, Helen Whitehead, Ivan Kiskin, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell:
Few-shot bioacoustic event detection at the DCASE 2022 challenge. CoRR abs/2207.07911 (2022) - [i34]Dan Stowell, Caitlin Black, Florencia Noriega, Sarab S. Sethi:
Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report). CoRR abs/2210.07685 (2022) - 2021
- [j9]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) - [j8]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): 7470 (2021) - [c28]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: 145-149 - [i33]Inês Nolasco, Dan Stowell:
Rank-based loss for learning hierarchical representations. CoRR abs/2110.05941 (2021) - [i32]Dan Stowell:
Computational bioacoustics with deep learning: a review and roadmap. CoRR abs/2112.06725 (2021) - 2020
- [c27]Alexandru-Marius Solomes, Dan Stowell:
Efficient Bird Sound Detection on the Bela Embedded System. ICASSP 2020: 746-750 - [i31]Yahya Al Lawati, Jack Kelly, Dan Stowell:
Short-term prediction of photovoltaic power generation using Gaussian process regression. CoRR abs/2010.02275 (2020) - [i30]Marco Comunità, Dan Stowell, Joshua D. Reiss:
Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks. CoRR abs/2012.03216 (2020)
2010 – 2019
- 2019
- [j7]Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell:
NIPS4Bplus: a richly annotated birdsong audio dataset. PeerJ Comput. Sci. 5: e223 (2019) - [c26]Amogh Matt, Dan Stowell:
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. EUSIPCO 2019: 1-5 - [c25]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. EUSIPCO 2019: 1-5 - [c24]Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell:
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP 2019: 995-999 - [c23]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
Unifying Probabilistic Models for Time-frequency Analysis. ICASSP 2019: 3352-3356 - [c22]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. ICML 2019: 6776-6785 - [i29]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. CoRR abs/1901.11436 (2019) - [i28]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Visibility graphs for robust harmonic similarity measures between audio spectra. CoRR abs/1903.01976 (2019) - [i27]Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler:
Efficient On-line Computation of Visibility Graphs. CoRR abs/1905.03204 (2019) - [i26]Amogh Matt, Dan Stowell:
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. CoRR abs/1908.04672 (2019) - 2018
- [c21]Veronica Morfi, Dan Stowell:
Data-efficient weakly supervised learning for low-resource audio event detection using deep learning. DCASE 2018: 123-127 - [c20]William J. Wilkinson, Joshua D. Reiss, Dan Stowell:
A Generative Model for Natural Sounds Based on Latent Force Modelling. LVA/ICA 2018: 259-269 - [c19]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. LVA/ICA 2018: 280-289 - [i25]William J. Wilkinson, Joshua D. Reiss, Dan Stowell:
A Generative Model for Natural Sounds Based on Latent Force Modelling. CoRR abs/1802.00680 (2018) - [i24]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. CoRR abs/1804.02325 (2018) - [i23]Veronica Morfi, Dan Stowell:
Deep Learning for Audio Transcription on Low-Resource Datasets. CoRR abs/1807.03697 (2018) - [i22]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 abs/1807.05812 (2018) - [i21]Veronica Morfi, Dan Stowell:
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning. CoRR abs/1807.06972 (2018) - [i20]Dan Stowell, Tereza Petrusková, Martin Sálek, Pavel Linhart:
Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. CoRR abs/1810.09273 (2018) - [i19]Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell:
Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. CoRR abs/1810.12679 (2018) - [i18]Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell:
NIPS4Bplus: a richly annotated birdsong audio dataset. CoRR abs/1811.02275 (2018) - [i17]William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
Unifying Probabilistic Models for Time-Frequency Analysis. CoRR abs/1811.02489 (2018) - 2017
- [j6]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): 1193-1206 (2017) - [c18]Veronica Morfi, Dan Stowell:
Deductive refinement of species labelling in weakly labelled birdsong recordings. ICASSP 2017: 656-660 - [i16]Pablo A. Alvarado, Dan Stowell:
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music. CoRR abs/1705.07104 (2017) - 2016
- [c17]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: 2607-2611 - [c16]Pablo A. Alvarado, Dan Stowell:
Gaussian processes for music audio modelling and content analysis. MLSP 2016: 1-6 - [c15]Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin:
Bird detection in audio: A survey and a challenge. MLSP 2016: 1-6 - [i15]Dan Stowell, Lisa F. Gill, David Clayton:
Detailed temporal structure of communication networks in groups of songbirds. CoRR abs/1601.05449 (2016) - [i14]Veronica Morfi, Dan Stowell:
Deductive Refinement of Species Labelling in Weakly Labelled Birdsong Recordings. CoRR abs/1603.07173 (2016) - [i13]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 abs/1603.07236 (2016) - [i12]Pablo A. Alvarado, Dan Stowell:
Gaussian Processes for Music Audio Modelling and Content Analysis. CoRR abs/1606.01039 (2016) - [i11]Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin:
Bird detection in audio: a survey and a challenge. CoRR abs/1608.03417 (2016) - [i10]Dan Stowell, Emmanouil Benetos, Lisa F. Gill:
On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. CoRR abs/1612.05489 (2016) - 2015
- [j5]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): 16-34 (2015) - [j4]Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Mark D. Plumbley:
Detection and Classification of Acoustic Scenes and Events. IEEE Trans. Multim. 17(10): 1733-1746 (2015) - [c14]Dan Stowell:
BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio. CLEF (Working Notes) 2015 - [c13]Dan Stowell, David Clayton:
Acoustic event detection for multiple overlapping similar sources. WASPAA 2015: 1-5 - [i9]Dan Stowell, David Clayton:
Acoustic event detection for multiple overlapping similar sources. CoRR abs/1503.07150 (2015) - [i8]Dan Stowell, Richard E. Turner:
Denoising without access to clean data using a partitioned autoencoder. CoRR abs/1509.05982 (2015) - 2014
- [c12]Dan Stowell, Mark D. Plumbley:
Audio-only Bird Classification Using Unsupervised Feature Learning. CLEF (Working Notes) 2014: 673-684 - [c11]Dan Stowell, Mark D. Plumbley:
An Open Dataset for Research on Audio Field Recording Archives: freefield1010. Semantic Audio 2014 - [i7]Dan Stowell, Mark D. Plumbley:
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. CoRR abs/1405.6524 (2014) - [i6]Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley:
Acoustic Scene Classification. CoRR abs/1411.3715 (2014) - 2013
- [j3]Dan Stowell, Mark D. Plumbley:
Segregating event streams and noise with a Markov renewal process model. J. Mach. Learn. Res. 14(1): 2213-2238 (2013) - [c10]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: 1-5 - [c9]Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley:
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. ICASSP 2013: 468-472 - [c8]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: 1-4 - [p1]Dan Stowell, Alex McLean:
Live Music-Making: A Rich Open Task Requires a Rich Open Interface. Music and Human-Computer Interaction 2013: 139-152 - [i5]Dan Stowell, Elaine Chew:
Maximum a posteriori estimation of piecewise arcs in tempo time-series. CoRR abs/1302.0136 (2013) - [i4]Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley:
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. CoRR abs/1302.3462 (2013) - [i3]Dan Stowell, Mark D. Plumbley:
An open dataset for research on audio field recording archives: freefield1010. CoRR abs/1309.5275 (2013) - [i2]Dan Stowell, Mark D. Plumbley:
Large-scale analysis of frequency modulation in birdsong databases. CoRR abs/1311.4764 (2013) - 2012
- [c7]Dan Stowell, Elaine Chew:
Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series. CMMR 2012: 387-399 - [c6]Dan Stowell, Mark D. Plumbley:
Framewise heterodyne chirp analysis of birdsong. EUSIPCO 2012: 2694-2698 - [i1]Dan Stowell, Mark D. Plumbley:
Segregating event streams and noise with a Markov renewal process model. CoRR abs/1211.2972 (2012) - 2011
- [c5]Dan Stowell:
Scheduling and composing with Risset eternal accelerando rhythms. ICMC 2011 - [c4]Dan Stowell, Simon Dixon:
MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. ISMIR 2011: 347-352 - 2010
- [c3]Dan Stowell, Mark D. Plumbley:
Cross-associating unlabelled timbre distributions to create expressive musical mappings. WAPA 2010: 28-35
2000 – 2009
- 2009
- [j2]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): 960-975 (2009) - [j1]Dan Stowell, Mark D. Plumbley:
Fast Multidimensional Entropy Estimation by k -d Partitioning. IEEE Signal Process. Lett. 16(6): 537-540 (2009) - 2008
- [c2]Dan Stowell, Mark D. Plumbley, Nick Bryan-Kinns:
Discourse Analysis Evaluation Method for Expressive Musical Interfaces. NIME 2008: 81-86 - 2007
- [c1]Dan Stowell, Mark D. Plumbley:
Adaptive whitening for Improved Real-Time audio onset Detection. ICMC 2007
Coauthor Index
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