SoniCracker specializes in voice biometric, which supports speaker identification and verification. The voice biometric technology creates a “fingerprint” of the human voice, which is used for speaker identification/verification and for measuring speaker reliability. This product is used in various market verticals such as banks, for improving customer quality of experience as well as for preventing and investigating fraud/crime.
SoniCracker specializes in speaker source separation. Our algorithm can separate multiple speakers that either one with another or are in sequence, during a conversation, in real-time. This is also known as the "Cocktail-party effect". Our cutting-edge algorithm is language-agnostic and can separate multiple speakers in a noisy and reverberant environment.
We use this algorithm as the key engine for our fraud detection system, but it can also be used as a standalone tool to accelerate investigations, provide better user authentication and speech-to-text quality, and save CAPEX on storage due to regulation.