Warblr application recognizes birdsong
Scientists hope to launch a bird radar app that will help people identify bird tweets. The application, named Warblr, claims to recognize the tweets of 88 species of birds and can help track their migration patterns. It works by real-time analysis of nearby noise recorded by a smartphone and identifies birds based on their tweets. Whenever the application identifies a bird, the geographical tracking feature allows it to map the location and time of discovery of the species, with public information.
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This information will be made public, allowing zoologists and ecologists to monitor species growth and migration patterns. The two scientists developed the application through the use of development funds raised by Queen Mary in London. The funds have already reached 50,000 pounds, and its target is 3,290 pounds. After recording a bird song, the application returns a list of the most likely results, expressed as a percentage of its likelihood. However, with initial testing, the application still needs to solve some problems. For example, Warblr needed to distinguish the Canadian geese from the children's screams. In the first trial, the application elicited a false identification from a child's scream and recorded the Canadian goose.