Embedded, Server-Based, Standalone, Hosted (At Recognition Technologies' Facilities), Customer-Site Hosted (At Customer's Facilities) -- See below for Supported Operating Systems and Devices.

This is a multi-modal system using a combination of face and speech in order to recognize a candidate and to perform full diarization of the media. The result is a JSON, XML, Text, or HTML response, containing timestamps signifying the points in time when a speaker change is detected, with the identity of the speaker at each segment, according to the vocal and facial characteristics of the speaker. A fusion of the audio and visual results is provided, as well as individual results coming from each individual engine. The transcription is also provided within each segment. For the identity, as well as the speaker and facial recognition, more than one possible result is returned with corresponding scores and confidences, sorted by the score. In summary, the engine is capable of doing verification and identification based on both speech and face, face detection, speaker segmentation, and speech transcription. It is a marriage of our award-winnnig speaker recognition engine (voice biometrics engine) with our face recognition engine. We provide a C++ API as well as web, Android, iOS, and command-line interfaces.