Artem Tashkinov writes: Researchers behind Google's DeepMind company have been creating AI algorithms which could hardly be applied in real life aside from pure entertainment purposes -- the Go game being the most recent example. However, their most recent development, a speech synthesis AI algorithm called WaveNet, beats the two existing methods of generating human speech by a long shot -- at least 50% by Google's own estimates. The only problem with this new approach is that it's very computationally expensive. The results are even more impressive considering the fact that WaveNet can easily learn different voices and generate artificial breaths, mouth movements, intonation and other features of human speech. It can also be easily trained to generate any voice using a very small sample database. Quartz has a voice demo of Google's current method in its report, which uses recurrent neural networks, and WaveNet's method, which "uses convolutional neural networks, where previously generated data is considered when producing the next bit of information." The report adds, "Researchers also found that if they fed the algorithm classical music instead of speech, the algorithm would compose its own songs."