Phonexia Speaker Identification

Speaker Identification

Identify individuals by voice with Phonexia’s state-of-the-art voice biometrics technology.

Speaker Identification Technology Details

  • Versatile: Provides rapid, highly accurate voice comparisons for any scenario, from individual 1:1 voice verifications to complex 1:N and N:M speaker identification and speaker search applications.
  • Precise: Utilizes advanced deep neural networks to create highly accurate mathematical models of the human voice (voiceprints), achieving over 96% accuracy out of the box with just 3 seconds of natural speech.
  • Adaptive: Incorporates state-of-the-art channel compensation techniques, ensuring compatibility with a broad spectrum of audio sources, including GSM/CDMA, 3G, VoIP, landlines, and satellite phones.
  • Consistent: Delivers high-accuracy performance regardless of the language, accent, and words used in speech, making it ideal for complex, international solutions handling natural conversations.

What People Are Saying

Phonexia's voice biometrics allows contact centre agents, smart IVRs, and conversational AI platforms to verify customers' identities rapidly, securely, and precisely. Its forensic-level precision enables organisations to improve customer journeys, combat fraud, and reduce average handling times and cost to serve.

We have been selling Phonexia products in the Asian market for over 3 years now, and we can clearly say that Phonexia products are by far the best ones in the global market. We have encountered some local and global competitors, but we can easily push them off the table by showing how strong and affordable Phonexia products are. Phonexia’s strength comes from a mixture of dedicated genius engineers and down-to-earth, smart business experts who can draw big pictures.

Try Our Free Online Demo

Test the Speaker Identification technology for yourself in our exclusive online demo.

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Step 1


Tell us where to send you the access link.


Step 2


Record your voice, upload files, or use our built-in examples.


Step 3


Effortlessly identify speakers by voice.