![]() ![]() This, according to Dadabots, gives the model a “distinct sonic behaviour”. Moreover, the model also has support for conditional training with metadata. ![]() The network also knows which output sounds ‘real’ and which does not, allowing it to continually improve itself the more it is trained. The RNN functions to identify patterns in specific genres of music and predict future, most possible common elements and play them. It was meant to be trained on raw samples of audio speech, and would generate a sound that was indicative of new raw audio examples of speech. The network used to create the music is a model known as SampleRNN.Ī recurrent neural network, SampleRNN was originally developed for text-to-speech purposes. The project is a neural network that was trained on the music of a death metal band known as Archspire. ![]() This was followed up with the release of 10 albums, culminating in the Relentless Doppelganger project. ![]() The kicker is that the death metal sounds on the stream are completely generated by a neural network.ĬJ Carr and Zack Zukowski, the minds behind Dadabots, outlined the idea for neural synthesis of metal music in a 2018 paper. A band known on YouTube as Dadabots has been streaming a 24/7 death metal broadcast called Relentless Doppelganger. ![]()
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