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This is not a new technique. In fact, there have been other projects like this around for years. However, the Cornell Lab's project is the first to use deep learning using the Merlin AI engine. If all of this seems a little short-sighted in the age of Alexa and Siri, consider that it took decades of research and experimentation by scientists to develop Merlin.
Merlin is also said to be able to analyze videos of a bird in order to identify its species. For example, if you have a video of a crow, Merlin can tell you what kind it is. It's also said to be able to identify insects, and if you have an audio sample of one, Merlin can tell you what kind of insect it is.
It's not as if Merlin can't cope with that kind of thing – it's been doing it for years. After all, it's a massively more complex task than identifying a song, but one that Merlin was born to do, and is now ready to tackle.
Merlin is trained on a large collection of audio samples, but the majority of the work is in feature extraction to find a distinctive pattern that resonates with each bird. Because birdsongs are so varied, Merlin's first task is to work out what to do with that sound. Then, it takes the extracted features and puts them through an artificial neural network to create a decision tree.
If you're wondering how Merlin is performing, it's reported to be able to pick out 1,000 bird species without error in a matter of minutes. By comparison, the average human can identify about 30 species.
You can use LALAL.AI to create new songs, remixes, mashups, cover songs, instrumentals, or any other project. For best results, you need to own the original song. LALAL.AI is integrated with a variety of services such as YouTube, Spotify, Soundcloud, Apple Music etc. LALAL.AI also has a paid app for iOS and Android platforms. This app allows you to do all the tasks offline as well.
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