Klarios® Biometrics Analytics
Boost Investigative Success
results admissible in court—in seconds.
ATIS’s speaker recognition technology enables speakers to be analyzed and identified using biometric characteristics in a manner admissible in court. Our solution can automatically process large volumes of data, regardless of the spoken language. This saves valuable investigative time and resources.
Unidentified person
Import of recorded audio and video files
Profile database
Learning process – creating a reference
Automated data structuring
Score assignment and narrowing down the number of suspects
Media Analysis
Speakers are automatically recognized and categorized based on their voices. Even without knowing the speakers’ identities, the system can find their voices in other media recordings. The recognized speakers are identified in the media recordings.
Biometric Profile Database
The profile database can store a biometric voiceprint and other supplementary information about an individual. This information can then be compared with media content, among other things, to identify a person.
Social Media Analysis
Social media content, such as YouTube videos, can be imported and matched with the information in the profile database.
Speech-to-Text
Speech-to-text technology automatically creates transcripts of the audio of a conversation.
Web Client
Our web-client-based solution runs on all major web browsers, such as Firefox or Chrome, and requires no additional installations or plugins.
Data Import
Our solution features a user-friendly import function that can automatically process a wide variety of audio and video files.
Connection and Integration
Our solution can be used as an independent (stand-alone) system. It can also be connected to / integrated with existing or third-party systems via RESTful API.
Faster Investigations.
Higher Detection Rates.
Lower Costs.
- Language-independent recognition of speakers
- Save time through efficient workflows
- Quickly and easily learn about any new activities of identified speakers
- Identify unknown speakers via automatic recognition in other recordings
- Take advantage of the many benefits of the Speech-to-Text feature
- Work more efficiently by categorizing recordings according to keywords
Your Objective.
Your Workflow.
- Recognition of a known speaker in the recordings of the database
- Recognition of an unknown speaker by matching them against the database
- Search for specific conversation content using Speech-to-Text analysis