end-to-end workflow coverage
the new generation software extends classic audio forensics capabilities by integrating face forensics as well as deepfake and audio spoofing detectors. Now, experts can comprehensively analyze both voice samples and face images in a single project to build a reliable evidence base
the new generation software extends classic audio forensics capabilities by integrating face forensics as well as deepfake and audio spoofing detectors. Now, experts can comprehensively analyze both voice samples and face images in a single project to build a reliable evidence base
tasks
excel at every step of comprehensive media forensics
filter out background noise to increase
speech intelligibility and improve image quality for objects and faces in video frames
detect editing, tampering, audio
spoofing, and video deepfakes to verify media authenticity
perform forensic speaker comparison
using advanced biometric analysis, regardless of the language spoken and with no
linguistic expertise required
conduct professional facial
examinations and facial image comparison using a dedicated Face Forensics System
automatically transcribe spoken content
into text across 20+ languages with accurate speaker diarization
features
features tailored to expert workflows
advanced filtering methods and algorithms
automatic speech recognition & transcription
encoding traces detection
speaker diarization
audio spoofing detection
constant value detection
super magnifier
deepfake video detector
video editing detector
face forensics system (FFS)
modules
focus on important details and stay on top of every case
audio forensic software
SIS Sound Editor
- automatic comparison algorithms for recordings from 5 seconds of pure speech
- separation of up to 10 speakers in a polylog (6 algorithms)
- authenticity verification with full-tracker module (device signatures, constant value search)
- spoofing detection (voice synthesis, speech conversion, and replay attacks)
- advanced visual analytics for streamlined audio assessment, incorporating LR values and FA/FR curves
- Super Magnifier module with 26 filters to optimize visual clarity and detail resolution
- deepfake video detector with accuracy over 85% (face swapping and synthetic video attacks)
- video editing detector (Timer and Clone detector modules)
speech signal noise reduction software
Sound Cleaner
- 15 processing filters for speech and noise detection
- Deep Neural Network (DNN) filter
- 4096 band equalizer
- real-time end-to-end processing channel
- batch processing of multiple audio recordings
ASR module
automatic speech-to-text conversion
- support for 21 languages
- speech-to-text transcription featuring automatic speaker diarization
- word-by-word audio alignment and segmentation
- custom transcription accuracy optimization using user-defined dictionaries
- facial image examination module
- facial feature description
- facial image comparison
- composite image analysis
- forensic image preparation
- automated export report generation
Face Forensics & Video Processing (FFS)
Face Forensics System (FFS) for forensic facial comparison using 6
descriptive methods
- Facial Image Examination Module
- facial feature description
- facial image comparison
- composite image analysis
- image preparation for examination
- automated generation of expert reports
professional audio hardware device
STC-H246
- sampling frequencies: 8–200 kHz
- bit depth: 16/24 bit
- signal-to-noise ratio: 105 dB
- 2 channels
- Windows 10, 11 support
how it works
how IKAR Lab 3 transforms raw media data into solid evidence
intelligibility boost & enhancement
smart algorithms reduce noise and increase the
intelligibility of target speech, while visual filters (Super Magnifier) improve image quality
for objects and faces in video frames for further analysis
authenticity check & spoofing detection
audio and video recordings are investigated to
determine if the data has been edited, tampered with, or generated with a possibility to detect
audio spoofing (speech synthesis and voice conversion) and video deepfakes
content extraction & diarization
automatic speech recognition (ASR) converts voice
data into text across 20+ languages, delivering precise word-level alignment and automated
speaker diarization
speaker & facial image comparison
speaker and facial image comparisons are performed
through combined audio and visual analysis using biometric comparison tools and the Face
Forensics System for expert facial examination
how it works
training center
advance your skills and continuously build your expertise in
using
IKAR Lab 3
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advantages
we are deeply involved in every project and foster collaboration to better achieve customers’ goals
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