Incredible. Fun challenge to the team: train it to read mathematical expressions. Plenty of subtleties, and a game changer for visually impaired scientists and mathematicians.
Building on TTS models like 'Tacotron' and deep generative models of raw audio like 'Wavenet', we introduce 'Tacotron 2' a neural network architecture for speech synthesis directly from text. Learn more, and check out some audio samples → http://goo.gl/Jp69p6 pic.twitter.com/kdeuz0WOMD
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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The results are amazing - probably good enough to move away from the name ‘Tacotron’! What’s the connection between taco-making robots and synthetic speech?
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It's a hint at our ultimate goal of reinforcement learning via taco making robots that talk to you to understand what kind of taco you want and whether you liked it (reward signal).
Kraj razgovora
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Hey
@googleresearch , no more algorithms? Just pattern matching and copying ? JK
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Tacotron original paper was really impressive because of the direct translation from Text, this is even work. great work
@googleresearch, Kudos to all the writers!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Really impressive. It would be interesting to see how quickly this can be adapted to other languages.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Listen to some samples. Quality of naturalness is amazing but something still distinguishes it from real voice. Is it the abrupt stop?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Awesome work Google
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Tacotron. Apa itu?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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