A machine learning technology developed and launched by Queen Mary University London’s Dan Stowell and his business partner Florence Wilkinson is able to identify birds by their tweets.
The duo, after developing the technology, launched a Kickstarter campaign to raise funds to further develop their prototype, but fell short of their fundraising target.
QMUL’s Innovation Fund came to duo’s rescue and shelled out the necessary funds and allowed the Warblr team to complete work on the iPhone app. The app is available to buy from iTunes now with the proceeds helping to fulfill the team’s ambitions to build an Android version, and to take Warblr to regions outside of the UK.
It is hoped that Warblr will help to increase interest in the natural world amongst young people in particular. The team also plan to make the data collected publically available for researchers and conservationists, to assist with monitoring and protecting our feathered friends.
Warblr co-founder Dan Stowell from QMUL’s Centre for Digital Music, says, “Here at Queen Mary University of London we’ve been at the forefront of developing this new technology for a while now, but as a scientist you don’t always get the chance to place your work directly in the hands of the general public – it’s a real privilege.
“And the beauty of it is that the more people who use Warblr and submit recordings to our server, the more accurate we can train our technology to become. In fact the benefits are wider than that – our users are citizen scientists, collecting data that will be shared with researchers and conservation organisations worldwide.”
As well as audio intelligence, Warblr now features locations intelligence enabled by the British Trust for Ornithology with historic mapping data from the organisation, helping to refine the list of birds you’re likely to encounter through the app.
Warblr co-founder Florence Wilkinson says, “Warblr is the result of years of hard work, and we are so excited to finally be able to share it with our nation of bird-lovers! Whilst we didn’t make our target on Kickstarter, the community we built during the process have been incredible, forming a crack team of over 100 beta testers to help us refine the app, and even helping to write descriptions for the over 220 British bird species that Warblr can now recognise.
