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
An extensive feature set delivering improved accuracy.
Identify speakers instantly and with the highest accuracy based on the unique characteristics of their voice.
Allows you to perform fast 1:1 speaker verification, and 1:N and N:M speaker identification
Is language-, accent-, text-, and channel independent