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Alphabet’s Tacotron 2 Text-to-Speech Engine Sounds Nearly Indistinguishable From a Human Alphabet’s subsidiary, DeepMind, developed WaveNet , a neural network that powers the Google Assistant ‘s speech synthesis, in October. It’s capable of better and more realistic audio samples than the search giant’s previous text-to-speech system, and what’s more, it generates raw audio — not spliced-together sounds from voice actors. Now, researchers at Alphabet have developed a new version, Tacotron 2, that uses multiple neural networks to produce speech almost indistinguishable from a human. Here’s a sample. The first was generated using Tacotron 2, and the second is a voice actor: https://www.xda-developers.com/files/2017/12/washington_gen.wav https://www.xda-developers.com/files/2017/12/washington_gt.wav Tacotron 2 consists of two deep neural networks. As the research paper published this month describes it, the first translates text into a spect...