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Articles by Dan Stowell
A dataset of insect sounds from 459 species for bioacoustic machine learning
Abstract Automatic recognition of insect sound could help us understand changing biodiversity trends around the world—but insect sounds are challenging to recognize even for deep learning, due to the broad frequency ranges and limited amount of training data. We present a new dataset comprised of 26298 audio files (226.6 hours), from 459 species of Orthoptera (310 species) and Cicadidae (149 species).
Sound evidence for biodiversity monitoring
In this tropical forest in Sabah, Malysia, 34 out of the intended 39 bird and anuran species were detected by using AI and bioacoustics. PHOTO: CHIEN LEE/MINDEN PICTURES With 28% of all assessed plant and animal species now at risk of extinction, new noninvasive and efficient tools to monitor populations are urgently needed. For animal populations, studying their vocalizations through automated monitoring and machine learning offers one such solution (1).
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation
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Deep perceptual embeddings for unlabelled animal sound eventsa)
Animal perception and animal vocal communication are important research areas, and statistical machine learning has brought new forms of evidence to bear on them (Elie and Theunissen, 201610. Elie, J. E., and Theunissen, F. E. (2016). “ The vocal repertoire of the domesticated zebra finch: A data-driven approach to decipher the information-bearing acoustic features of communication signals,” Anim. Cogn. 19(2), 285–315. https://doi.org/10.1007/s10071-015-0933-6; Kohlsdorf et al., 201616.
Learning to sing
by Dan Stowell, Queen Mary University of London Humans have lots of different spoken languages. We all learn the language of the place we grow up. We learn to talk, learn the sounds we need to make to be understood by the people around us, when very young. We not only have different languages but different dialects. If you grow up in Newcastle, Liverpool or Glasgow, you learn to make different sounds to say the same thing. That shows that our language ability is not completely fixed by our genes.
A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK - Scientific Data
Abstract Solar photovoltaic (PV) is an increasingly significant fraction of electricity generation. Efficient management, and innovations such as short-term forecasting and machine vision, demand high-resolution geographic datasets of PV installations. However, official and public sources have notable deficiencies: spatial imprecision, gaps in coverage and lack of crucial meta data, especially for small-scale solar panel installations.
One million solar panels! If only we knew where they were...
Comment: Pinpointing solar panels and knowing exactly where the sun is shining can cut carbon emissions by reducing the need to keep fossil-fueled generators on standby How much solar energy is being pumped into the electricity grid right now? No-one knows! Not even the government, nor even the operators of the electricity grid.
We made an app to identify bird sounds - and learned something surprising about people
The sound of birds is everywhere but what if you can’t tell your robin from your ring-necked parrot? And when the birds listen to each other, are they picking up on the same qualities as we are? As part of my research, I try to help answer these questions by developing techniques for computers to make sense of sounds automatically, for example to identify a bird from its sound.
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