Google created a database of thousands of records synthesized speech

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2019-02-01 22:15:06

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Google created a database of thousands of records synthesized speech Source:

It Seems that in the near future, human interaction will be kept to a minimum. At least all this is: here at Google, for example, was able to collect a database of thousands of records the synthesized English speech, according to a company blog. Thus, experts are one step closer to enable the system to reproduce speech that is indistinguishable from a human.

Speech Synthesis needed for the formation of the speech signal from the printed text, and it is not necessary that the person who records his voice for the system, speaking the whole phrase. For the final model sufficiently representative sample of data — and then the system determines how many phonemes it is necessary for the further synthesis.

What speech recordings, collected into a single large-scale dataset? The fact is that if a qualitative synthesis will be in the hands of criminals, they can use someone else's voice for their own selfish purposes. To avoid this, experts Google has published a database of several thousand excerpts from Newspapers. Read used 68 different synthesized voices. However, while the array data is only available for participants of competition of Automatic Speaker Verification. They are building systems that automatically differentiate between synthesized speech.

Two years ago, the Lyrebird from Montreal have created a speech synthesizer based on the AI, able to replicate any voice. To follow the voice system takes only a few seconds of audio recording of voice required of a person on the basis of which will create an audio snippet. Accurate imitation of the voice is possible through the use of neural networks based on artificial intelligence and operating according to the same principles as the neural networks of the human brain. The AI learns to recognize features of human speech, and then these data are already used for the synthesis of an artificial voice.

However, and has shortcomings: there are problems with the intelligibility of spoken speech, there are "voice artifacts" and some other signs pointing that a statement made machine.

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