Phonexia Introduces Deep Embeddings(TM) -- The Exclusively DNN-powered Voice Biometrics Engine Which More than Doubles the Accuracy and Speed of Speaker Identification

Brno, Czech Republic (ots/PRNewswire) -

Phonexia (https://www.phonexia.com?utm_source=press_release&utm_me
dium=referral&utm_campaign=pr_deepembeddingsq12018) has launched Deep
Embeddings(TM) - the new generation of its voice biometrics engine
for speaker identification and verification. The new technology
exclusively uses deep neural networks (DNN) to map voices directly to
their unique voice-prints. Deep Embeddings(TM) - available within the
Phonexia Speech Platform - is the first commercially available voice
biometric engine (https://www.phonexia.com/en/product/voice-biometric
s/?utm_source=press_release&utm_medium=referral&utm_campaign=pr_deepe
mbeddingsq12018) with this machine learning capability.

(Logo: https://mma.prnewswire.com/media/658975/Phonexia_Logo.jpg )

Applied DNN technology brings clear benefits

Deep Embeddings(TM) uses a discriminative training model to
identify the unique features in each individual's voice. It is able
to create voiceprints faster, more accurately, with less memory than
the previous engine - which was already one of the fastest and most
accurate on the market. "The technical benefits -accuracy, speed, and
reduced memory use - from transitioning completely to deep neural
networks have exceeded our expectations," stated Petr Schwarz
Phonexia CTO.

Increased performance creates value

Deep Embeddings(TM) has registered a significant performance
improvement thanks to DNN: The technology can create voiceprints
twice as fast as the previous engine. Its accuracy has improved,
reducing the Equal Error Rate - the combination of False Accept and
False Reject scores - by 2.4 times. The memory requirements for
marking and processing voice prints has also been slashed, taking
just one seventh of the previous RAM. "At the end of the day, higher
accuracy creates value - whether this is reducing false rejections or
increasing the identification of fraudsters," said Pavel Mat?jka,
Phonexia CSO.

Free up memory for other processing tasks

"In addition to making biometric adoption easier for traditional
clients, the reduced memory requirements will accelerate adoption of
speaker identification into new segments such as 4.0 devices, IoT,
and devices with no permanent connection to the Internet," explained
Schwarz.

A platform designed for integration

Deep Embeddings(TM) is part of the modular Phonexia Speech
Platform which provides a wide portfolio of technologies such as
speech-to-text, keyword spotting, language and gender identification.
Fully scalable, it is the ideal technology for system integrators
needing voice biometric components in their client solutions.

For more information, contact us at press@phonexia.com

About Phonexia

Phonexia transforms voice to knowledge with its innovative speech
analytics and voice biometrics technologies. Its Phonexia Speech
Engine is the first to exclusively use deep neural networks. The
Phonexia Speech Platform packs a wide range of technologies into a
single, highly modular platform for integration with other solutions.
Phonexia innovations are available through network of integration
partners. A university spin-off, Phonexia has delivered its
technologies to call-centers, financial institutions, and security
agencies in more than 60 countries since 2006.

Contact: Miroslav Jirku, press@phonexia.com

ots Originaltext: Phonexia
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