News : Phonexia Introduces Deep Embeddings
Brno, Czech Republic, March 27, 2018 -- Phonexia has just launched Deep EmbeddingsTM – the latest generation of its voice biometrics engine for speaker identification and verification. The new technology uses deep neural networks (DNN) to map voices directly to their small and fixed length records called voice-prints.
"The technical benefits –accuracy, speed, and reduced memory use – from transitioning completely to deep neural networks in our engine have exceeded our expectations," stated Petr Schwarz, Phonexia CTO. "We are looking forward to our clients seizing these benefits as they implement our technology in their systems."
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"At the end of the day, higher accuracy saves money -- whether this is decreasing the probability of a client having a false rejection during a call center’s phone verification or increasing the accurate identification of fraudsters misusing someone’s identity to take out a bank loan," said Pavel Matejka, Phonexia CSO.
"Cutting the memory requirement thanks to DNN is a real revolution in speeding up voice identification and verification. In addition to making biometric adoption easier for traditional clients, we expect this new performance to accelerate a much broader adoption of speaker identification into new segments such as 4.0 devices, automotive, smart wearables, IoT devices, and devices with no permanent connection to the Internet," explained Mr. Schwarz.
Posted by Veronica Silva Cusi, news correspondent
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More Editorial From Phonexia
Phonexia transforms voice to knowledge with its innovative speech analytics and voice biometrics technologies. Its Phonexia Speech Engine is the first on the market using exclusively deep neural networks to provide extremely accurate and fast results. The Phonexia Speech Platform packs a wide range of speech technologies into a single, highly modular platform that is easy to integrate with other solutions. Phonexia innovation is available through network of integration partners.
Published: Wednesday, March 28, 2018
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