Law enforcement & criminal investigation
Search large collections of intercepted or surveillance audio for speech associated with a person of interest, and bring relevant conversations together chronologically for case review.
VoiceExtract AI
Provide a known reference voice and the platform examines large volumes of audio to identify relevant speech, reduce distracting noise and organise matching segments into a clear evidence package. Built for sensitive forensic environments, it can operate within controlled infrastructure so confidential audio stays inside the organisation's security boundary
VoiceExtract AI · workspaceEvidence assessed
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- Ingest
- Reference
- Search
- Verify
- Package
What is considered
- Reference matchwaiting
- Acceptance checkswaiting
- Audio conditionswaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
VoiceExtract AI
Find The Voice That Matters
One voice, inside hours of audio
What it is
Automated forensic speaker extraction from large evidence files
Investigators may need to review hours or even days of audio to find a few minutes of relevant conversation. Recordings can also contain background noise, overlapping speakers, poor telephone quality and long periods of silence. It helps investigators find, isolate and organise a specific person's voice across long recordings, intercepted calls and other complex audio evidence.
VoiceExtract AI uses a known voice sample to search large audio collections for likely occurrences of the same speaker. Relevant speech is then isolated, cleaned and organised with timestamps, so analysts spend less time listening through unrelated material.
VoiceExtract AI also supports speaker comparison during the same workflow. For cases that require greater caution, enhanced verification applies stricter acceptance checks designed to reduce the likelihood of unrelated voices being included.
- Run sensitive forensic audio analysis within approved infrastructure
Controlled environment
Run sensitive forensic audio analysis within approved infrastructure
- Compare speech against authorised reference profiles to locate the target
Speaker intelligence
Compare speech against authorised reference profiles to locate the target
- Work with recordings carrying background noise, poor call quality or competing voices
Clearer evidence
Work with recordings carrying background noise, poor call quality or competing voices
- Keep evidence, case information and voice profiles protected throughout
Secure by design
Keep evidence, case information and voice profiles protected throughout
High-level architecture
Five stages from audio ingestion to forensic export
- 01
Ingest & assess
Upload supported evidence and let the platform check noise, clarity and recording conditions before analysis begins.
- 02
Prepare the reference voice
Provide authorised samples of the target speaker; clearer source material carries greater weight in the reference profile.
- 03
Search the evidence
Examine long recordings for portions that may contain the target speaker, then analyse promising sections more closely.
- 04
Verify relevant speech
Check potential matches against the authorised reference, with enhanced verification where a case needs more conservative matching.
- 05
Organise & package
Group accepted segments into chronological sessions and prepare an evidence package of audio, timestamps and reporting material.
VoiceExtract AI · workspace01 Ingest & assess
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Ingest & assess
Upload supported evidence and let the platform check noise, clarity and recording conditions before analysis begins.
- 02
Prepare the reference voice
Provide authorised samples of the target speaker; clearer source material carries greater weight in the reference profile.
- 03
Search the evidence
Examine long recordings for portions that may contain the target speaker, then analyse promising sections more closely.
- 04
Verify relevant speech
Check potential matches against the authorised reference, with enhanced verification where a case needs more conservative matching.
- 05
Organise & package
Group accepted segments into chronological sessions and prepare an evidence package of audio, timestamps and reporting material.
Product exclusiveness
Seven flagship capabilities
Advanced Voice Identity Analysis
Interface simulation: an illustration of the workflow, not a live analysis
Market comparison
How VoiceExtract AI compares with traditional investigation workflows
Large audio review
- Traditional manual listening
- Partly: Analysts listen through much of the recording
- Conventional voice analysis tools
- Partly: Some automated assistance
- VoiceExtract AI
- Yes: Searches large evidence collections automatically
Target speaker extraction
- Traditional manual listening
- No: Primarily manual
- Conventional voice analysis tools
- Partly: May support voice comparison
- VoiceExtract AI
- Yes: Organises speech linked to an authorised profile
False-match management
- Traditional manual listening
- Partly: Depends heavily on analyst judgement
- Conventional voice analysis tools
- Partly: Varies by system and recording quality
- VoiceExtract AI
- Yes: Enhanced verification for conservative review
Noisy recording support
- Traditional manual listening
- Partly: Difficult audio interpreted manually
- Conventional voice analysis tools
- Partly: Performance may vary with poor recordings
- VoiceExtract AI
- Yes: Built for challenging telephone and surveillance audio
Private deployment
- Traditional manual listening
- Partly: Depends on the investigation environment
- Conventional voice analysis tools
- No: Some platforms rely on external services
- VoiceExtract AI
- Yes: Operates within controlled or isolated environments
Multiple reference samples
- Traditional manual listening
- Partly: Compared manually
- Conventional voice analysis tools
- Partly: Support varies
- VoiceExtract AI
- Yes: Several authorised references strengthen the profile
Changing recording conditions
- Traditional manual listening
- Partly: Requires analyst interpretation
- Conventional voice analysis tools
- No: May be affected by channel differences
- VoiceExtract AI
- Yes: Accounts for changing audio and channel conditions
Conversation organisation
- Traditional manual listening
- No: Manual timestamping and note taking
- Conventional voice analysis tools
- Partly: Often produces individual results
- VoiceExtract AI
- Yes: Groups relevant speech into chronological sessions
Evidence documentation
- Traditional manual listening
- Partly: Usually created separately
- Conventional voice analysis tools
- Partly: Depends on the application
- VoiceExtract AI
- Yes: Organised audio, timestamps and case reports
Batch investigation workflow
- Traditional manual listening
- No: Labour intensive
- Conventional voice analysis tools
- Partly: Varies by platform
- VoiceExtract AI
- Yes: Supports large collections and profile libraries
The architecture
Security, privacy & controlled deployment architecture
CONTROLLED FORENSIC ENVIRONMENTLOCAL ANALYSIS · LOCAL CASE RECORDS · LOCAL EVIDENCE PACKAGES
Layer 1
Investigation portal
- Evidence uploadAuthorised users submit recordings from one screen
- Case and reference selectionApproved voice references chosen per investigation
- Result reviewCompleted results read back in the same place
Evidence received
Layer 2
Controlled job management
- Organised workloadsLarge investigations hold many recordings and requests
- Authorised jobs onlyWork is processed against approved case records
- Tracked progressEach analysis request is followed to completion
Queued as authorised work
Layer 3
Protected analysis environment
- Local processingAudio is analysed inside the authorised deployment
- No public AI servicesSensitive recordings need not be sent outside
- Secured internal communicationCase information stays protected as it moves
Analysis under way
Layer 4
Operational monitoring
- Service availabilityAdministrators can see the platform is running
- Processing healthWorkloads stay dependable during an investigation
PROTECTED EVIDENCE STORAGE · SECURED INTERNAL COMMUNICATION · LOCAL ANALYSIS RESOURCES
Sector use cases
Where VoiceExtract AI applies
National security & intelligence
Analyse authorised radio, communication and field recordings in controlled environments, keeping sensitive material inside approved infrastructure.
Forensic audio laboratories
Prepare complex audio for specialist review by organising relevant speech, timestamps and case information into a structured evidence package.
Financial crime & fraud investigation
Review authorised call recordings for voices linked to known fraud investigations, impersonation attempts or organised financial crime.
Correctional facilities
Review authorised call recordings to help identify potential involvement of monitored or restricted parties, in line with institutional policy and applicable law.
Counter-terrorism & target tracking
Support authorised investigations involving difficult field recordings, communication intercepts and other low-quality audio sources.
Deployment strategy
From technical assessment to evidence inside the agency boundary
Technical assessment
Requirements depend on expected recording volumes, workload and deployment model. VoiceExtract AI can be configured from dedicated investigation workstations up to larger controlled server environments, and a technical assessment determines the appropriate configuration.
Sized to the evidence volume it will carry
Controlled or isolated deployment
Deploy inside approved infrastructure, including isolated environments where evidence processing must remain within the organisation's own network. Voice analysis can run without routine communication with external AI services.
Suited to strict data-residency requirements
Establish the voice profile library
Authorised organisations maintain a controlled library of speaker profiles, approved case references and voice samples, then use those profiles across permitted investigations without preparing every comparison individually.
Approved profiles, reused across permitted cases
Set the verification mode
Standard verification supports efficient investigative review across larger collections of audio. Enhanced verification applies more conservative acceptance checks where an investigation requires additional scrutiny of potential voice matches.
Scrutiny set by what the investigation needs
Export into the approved evidence process
Relevant speech segments, chronological session information, timestamps, case references and supporting reports are exported in formats aligned to the organisation's investigation, evidence management and archival requirements.
A package the evidence process already accepts
Evidence remains inside the agency boundary
Audio evidence, authorised voice profiles and associated case information can be stored within protected organisational infrastructure, and temporary processing material is managed and cleared as part of the analysis lifecycle.
Security, compliance & data architecture
Evidence remains inside the agency boundary
- Protected evidence
- Audio evidence, authorised voice profiles and associated case information can be stored within protected organisational infrastructure.
- Local AI operation
- Voice analysis can run inside the approved deployment environment without routine communication with external AI services, suiting strict data-residency or network-isolation requirements.
- Protected internal communication
- Communication between application components is secured within the controlled environment to help protect case information as it moves through the workflow.
- Temporary data management
- Temporary processing material is managed and cleared as part of the analysis lifecycle, minimising unnecessary retention of intermediate data.
Frequently asked questions
VoiceExtract AI, answered
It can work from a short, clear sample of the target speaker. Where available, additional high-quality reference speech helps create a stronger voice profile: the quality of the reference matters more than the amount of audio provided.
Yes. Potential segments are compared with an authorised target voice profile before they are included as relevant results, so investigators can search for the target speaker and evaluate voice consistency within the same workflow.
Yes. It is designed for multi-speaker recordings such as intercepted calls, meetings and surveillance audio. Where authorised speaker profiles are available, it can associate relevant speech with those profiles and organise results into clearer speaker timelines.
Audio enhancement and noise-aware analysis reduce distracting background sound while preserving the speech information needed for later analysis, and recording quality is considered when evaluating potential matches. Results from severely degraded recordings should always be reviewed alongside the wider investigation evidence.
Yes. It can be deployed in controlled or isolated environments where evidence processing must remain within the organisation's own infrastructure, suiting agencies that restrict external network access for sensitive systems.
Requirements depend on expected recording volumes, workload and deployment model. VoiceExtract AI can be configured from dedicated investigation workstations up to larger controlled server environments; a technical assessment determines the appropriate configuration.
Standard verification is intended for efficient investigative review across larger collections of audio. Enhanced verification applies more conservative acceptance checks when an investigation requires additional scrutiny of potential voice matches.
The platform examines the timing and continuity of relevant speech and automatically groups related segments into chronological sessions, making long recordings easier to navigate and showing when target conversations occurred.
It can include organised audio segments, chronological session information, timestamps, case references and supporting reports, with export formats aligned to the organisation's investigation, evidence management and archival requirements.
The rest of the line
More in Voice Forensics
Where it runs
Industries deploying VoiceExtract AI
Each sector page covers the threat model, the controls, and the regulators that apply.
Request a Technical Demonstration & Evaluation
Connect with a FaceOff AI Forensic Specialist to evaluate VoiceExtract AI within your organisation's own environment.