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Anryze

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Team:

Anton Gera - FOUNDER, SERIAL ENTREPRENEUR, CEO

Oleg Zaychuk - DEV-OPS/SYSTEM ARCHITECT

Oleg Fedosenko - MACHINE LEARNING AND AI DEVELOPMENT

Max Kudymets - PROJECT MANAGER

Alex Pogrebenniy BACK-END DEVELOPER - BACK-END DEVELOPER

Oleksii Leontiev - PHD IN APPLIED MATHEMATICS, UNIVERSITY OF TOKYO

Anryze Distributed Network is a peer-to-peer distributed computing network for speech recognition and neural network education would allow users to transcribe audio files without reliance on a third party provider like Google or Amazon. The removal of central controls would mitigate most traditional data failures and provide the highest accuracy of a speech transcription due to neural networks education through distributed system.

Expert Review

TokenTops
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2.8 out of 5

They aim to provide companies and private clients with high quality speech recognition system, by in fact being an audio transcription platform. They don't use any advanced or new technology for that speech-to-text feature, but are depending on the work of "miners", who in this case are simply manually transcribing audio files sent by users. This may work like a great source of side income for the native speakers if the rates and rewards turn out to be good, but it's disappointing that they haven't come up with improvement of the technologies like other speech recognition systems are developing. All token holders gets a part of profit made with every transaction, therefore it seems like worthy to buy their tokens, however many ways of acquiring the tokens may lower the price on the exchanges. The site's design is very good and it's easy to find all the information. The team is traceable and experienced.

User Review

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Soundoflove06 october 2017, 12:03

It is basically an improved speech recognition system that allows user or even a big company to, as they claim, "transcribe their voice communications into a text with 1 click". Speech recognition and speech-to-text systems and technologies are becoming very popular nowadays and they are being used more and more withing modern applications and programs. If this project found a way to improve this recognition then I can see many companies getting interesting in them.

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