Speaker Identification

  • Home
  • Speaker Identification

Speaker Identification

ClearCypher's Speaker Identification (SID) technology uses the power of voice biometrics to recognize a speaker automatically and with high accuracy based on their voice.

It can determine a speaker’s identity from within a group of enrolled speakers. Speaker identification enables you to attribute speech to individual speakers, support multiuser voice recognition for personalized interactions, and more.

Enrollment for speaker identification is text-independent, which means that there are no restrictions on what the speaker says in the audio. The enrollment phase the speaker's voice is recorded, and voice features are extracted to form a unique voice signature. In the identification phase, the input voice sample is compared to a specified list of enrolled voices

image
image

Speaker Identification Features

An extensive feature set delivering improved accuracy.

  • Accuracy

    Identify speakers instantly and with the highest accuracy based on the unique characteristics of their voice.

  • Multi-Speakers support

    Allows you to perform fast 1:1 speaker verification, and 1:N and N:M speaker identification

  • Supported Languages

    Is language-, accent-, text-, and channel independent