Speech Technology Magazine

 

GreenKey Awarded Patent for Scribe

GreenKey has received a U.S. patent for its speech-to-text engine for financial markets.
Posted Aug 9, 2017
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The U.S. Patent and Trademark Office has granted GreenKey Technologies a second patent for its speech-to-text offering for the financial markets, incorporating custom processes for language model creation; model training; error correction, and accelerated transcription of domain-specific conversations and instructions.

The technology was designed to help firms comply with regulations such as MiFID II, which requires the capture of all voice orders and quotes related to executions, even if they do not result in trades. With GreenKey's patented speech-to-text solution, called GreenKey Scribe, orders, quotes, and trades can now be extracted directly from real-time conversations taking place on any platform and fed into any execution, analytics, or compliance system.

"GreenKey is the market leader in innovation, and our investments in artificial intelligence (AI) represent the bleeding edge of voice technology. Our world-class data science team has built everything in house as customizable containers which enable our large bank, broker, and trading customers to leverage the security of an on-premises deployment with the flexibility to create their own language models, all while supported by a data team of PhDs," said Anthony Tassone, GreenKey's chief product officer, in a statement.

"We are absolutely thrilled to have been awarded a patent for our unique training, prediction, and deployment methods. We are working with the largest financial firms in the world, and they're starting to recognize the power that AI-driven speech recognition has to transform many of their workflows and business units.  Beyond just regulatory compliance, we're now partnering with customers on cutting-edge concepts around speaker recognition, real-time call transcripts, and customer relationship management (CRM) integrations. It is extremely rewarding to be able to help them extract powerful, actionable data from their voice conversations," said Tejas Shastry, GreenKey's vice president of data science, in a statement.


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