Law enforcement & forensics
Separate individual speakers from authorised interviews, intercepted calls and surveillance recordings, so investigators review one speaker at a time instead of the whole conversation.
Voice Profile AI
Voice Profile AI turns recordings with two or more speakers into clear, organised individual voice tracks. It identifies who is speaking, reduces distracting background noise and separates each speaker for easier review. Designed for privacy-sensitive environments, it can operate within your organisation's controlled infrastructure so confidential audio stays under your control
Voice Profile AI · workspaceAudio prepared
multi-speaker-recording.wavno markings
- Prepared
- Clarity
- Speakers
- Consistency
- Organised
What is examined
- Speech claritywaiting
- Separationwaiting
- Continuitywaiting
- Speech overlapwaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
Voice Profile AI
Who Is Speaking, And When?
Follow every voice through one recording
What it is
AI powered speaker separation for complex audio
Voice Profile AI helps organisations understand recordings where several people speak in the same conversation.
Instead of manually listening through lengthy audio and separating speakers yourself, the platform automatically identifies individual voices, reduces unwanted noise and organises speech into separate speaker timelines.
Built for telephone calls, interviews, meetings, surveillance recordings and other multi-speaker audio where understanding who spoke and when is important.
- Analyse sensitive audio within your organisation's approved environment
Local processing
Analyse sensitive audio within your organisation's approved environment
- Works with recordings from calls, meetings, interviews and field environments
Audio ready
Works with recordings from calls, meetings, interviews and field environments
- Organise different voices into separate, easy-to-review speaker tracks
Clear speaker profiles
Organise different voices into separate, easy-to-review speaker tracks
- Keep speaker identities consistent throughout longer recordings
Speaker continuity
Keep speaker identities consistent throughout longer recordings
High-level architecture
How Voice Profile AI processes a recording
- 01
Prepare the audio
Commonly used audio files are accepted and prepared so recordings from different sources follow one consistent workflow.
- 02
Improve clarity
Unwanted background sound is reduced while the speech itself is preserved.
- 03
Identify speakers
The conversation is examined to determine when different people are speaking, and each speaker's speech is organised separately.
- 04
Maintain consistency
Speech is checked across the recording so the same person is not divided into several speaker profiles.
- 05
Organise and export
Results are arranged into separate speaker tracks, individual clips and chronological timelines.
Voice Profile AI · workspace01 Prepare the audio
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Prepare the audio
Commonly used audio files are accepted and prepared so recordings from different sources follow one consistent workflow.
- 02
Improve clarity
Unwanted background sound is reduced while the speech itself is preserved.
- 03
Identify speakers
The conversation is examined to determine when different people are speaking, and each speaker's speech is organised separately.
- 04
Maintain consistency
Speech is checked across the recording so the same person is not divided into several speaker profiles.
- 05
Organise and export
Results are arranged into separate speaker tracks, individual clips and chronological timelines.
Product exclusiveness
Seven flagship capabilities
Multi-Format Audio Support
Interface simulation: an illustration of the workflow, not a live analysis
Market comparison
How Voice Profile AI compares with common speaker separation approaches
Multi-speaker separation
- Typical cloud tools
- Partly: Available in selected services
- Basic speaker separation tools
- Partly: Usually supported
- Voice Profile AI
- Yes: Built specifically for speaker-focused audio analysis
Telephone and difficult audio
- Typical cloud tools
- Partly: May require preparation
- Basic speaker separation tools
- Partly: Quality can vary
- Voice Profile AI
- Yes: Designed for varied recording conditions
Noise reduction
- Typical cloud tools
- No: Often a separate step
- Basic speaker separation tools
- Partly: Usually limited
- Voice Profile AI
- Yes: Integrated into the workflow
Speaker consistency
- Typical cloud tools
- Partly: Depends on the service
- Basic speaker separation tools
- Partly: May vary on longer recordings
- Voice Profile AI
- Yes: Includes speaker continuity checks
Overlapping speech
- Typical cloud tools
- Partly: Handling varies
- Basic speaker separation tools
- No: May retain unclear sections
- Voice Profile AI
- Yes: Designed to manage difficult overlap
Private deployment
- Typical cloud tools
- No: Often cloud dependent
- Basic speaker separation tools
- Partly: Depends on configuration
- Voice Profile AI
- Yes: Supports controlled local deployment
Organised speaker timelines
- Typical cloud tools
- No: Often requires additional processing
- Basic speaker separation tools
- Partly: Usually basic output
- Voice Profile AI
- Yes: Automatically organised
Audio balancing
- Typical cloud tools
- No: May require additional tools
- Basic speaker separation tools
- No: Often limited
- Voice Profile AI
- Yes: Included in the processing workflow
Common audio formats
- Typical cloud tools
- Partly: Support varies
- Basic speaker separation tools
- No: May require conversion
- Voice Profile AI
- Yes: Convenient multi-format ingestion
The architecture
Flexible deployment for controlled environments
Sensitive audio can stay within approved infrastructure while authorised teams and applications access the capabilities they need
CONTROLLED AUDIO ENVIRONMENTLOCAL PROCESSING · LOCAL SPEAKER TRACKS · LOCAL EXPORTS
Layer 1
Review workspace
- Guided uploadSend a recording for analysis from one screen
- Processing statusFollow a recording through to completion
- Result reviewSeparated speakers read back in the same place
Recording received
Layer 2
Secure intake
- Supported recordingsCalls, meetings, interviews and field audio
- Consistent preparationDifferent sources follow one common workflow
- Controlled handlingRecordings stay within the chosen environment
Prepared for analysis
Layer 3
Speaker separation
- Clearer speechDistracting background sound is reduced
- Voices identifiedWho is speaking, and when, across the recording
- Difficult sections handledOverlapping speech treated with care
Speech separated
Layer 4
Organised output
- Individual speaker tracksEach voice kept separate and reviewable
- Chronological timelinesWhen each person spoke, in order
- Balanced playbackSpeakers prepared for consistent listening
ISOLATED DEPLOYMENT · APPLICATION INTEGRATION · ENTERPRISE DEPLOYMENT
Sector use cases
Where Voice Profile AI applies
Call centres & telecom
Separate customer and agent speech from recorded calls for quality review, dispute analysis, training and authorised compliance monitoring.
Legal & courtroom audio
Organise multi-speaker depositions, hearings and legal recordings into clearer speaker timelines for easier review and transcription.
Intelligence & defence
Analyse authorised communications and field recordings where multiple speakers, background noise or difficult conditions make manual review challenging.
Media & podcast production
Separate hosts, guests and participants into individual voice tracks to simplify editing, transcription and content production.
Voice biometrics preparation
Prepare cleaner individual speaker audio before authorised voice comparison or identity analysis workflows.
Deployment strategy
From deployment assessment to organised speaker tracks
Deployment assessment
Requirements depend on recording volumes and expected workloads. Voice Profile AI can be configured from dedicated analysis systems up to larger enterprise deployments, and a deployment assessment determines the appropriate configuration.
Sized to the recordings it will handle
Deploy within your controlled environment
Deploy inside the organisation's approved environment, including controlled or isolated configurations where recordings must remain within its own infrastructure, without routine transfer of sensitive recordings to public AI services.
Recordings stay inside your own infrastructure
Bring in the existing recordings
Commonly used formats such as MP3, WAV, M4A and FLAC are accepted, including telephone audio and other recordings where speech quality is lower than studio quality.
Calls, meetings, interviews and field audio
Review the organised output
Separate speaker folders, individual audio clips and organised speaker timelines let analysts review each person's speech without searching through the original recording.
Each speaker, reviewable on their own
Deployment that aligns with your policies
Organisations choose a deployment approach that aligns with their infrastructure, security policies and operational requirements, and temporary processing material is managed as part of the analysis lifecycle so intermediate files need not remain once processing is complete.
Security, compliance & data architecture
Your audio remains under your control
Voice Profile AI is designed for organisations whose recordings may contain confidential, sensitive or investigation-related information.
- Local audio processing
- Input recordings and separated speaker files can remain within your organisation's approved environment throughout the analysis.
- Privacy-focused operation
- The platform can operate without routine transfer of sensitive recordings to public AI services.
- Responsible temporary data handling
- Temporary processing material is managed as part of the analysis lifecycle, so intermediate files need not remain once processing is complete.
- Flexible deployment
- Organisations choose a deployment approach that aligns with their infrastructure, security policies and operational requirements.
Frequently asked questions
Voice Profile AI, answered
It separates different speakers from the same recording into individual voice tracks, reduces distracting noise, keeps speaker identities consistent and creates chronological speaker timelines for easier review.
Commonly used formats such as MP3, WAV, M4A and FLAC, making it suitable for audio from different recording environments.
Yes. It is designed for telephone audio and other recordings where speech quality is lower than studio quality, and prepares the recording automatically before speaker analysis.
Speech is checked throughout the recording to determine whether separated segments belong to the same speaker, helping maintain consistent speaker profiles across longer conversations.
Yes. It can be deployed within controlled or isolated environments where recordings must remain inside the organisation's own infrastructure, suiting strict privacy or data-residency requirements.
Sections where multiple people speak simultaneously are recognised and treated carefully before individual speaker outputs are created, reducing the chance of mixed speech appearing in isolated tracks.
Requirements depend on recording volumes and expected workloads. Voice Profile AI can be configured from dedicated analysis systems up to larger enterprise deployments; a deployment assessment determines the appropriate configuration.
Separate speaker folders, individual audio clips and organised speaker timelines, so analysts can review each person's speech without searching through the original recording.
The rest of the line
More in Voice Forensics
Where it runs
Industries deploying Voice Profile AI
Each sector page covers the threat model, the controls, and the regulators that apply.
Book a Voice Profile AI technical walkthrough
See speaker separation, noise reduction and controlled deployment options with the FaceOff engineering team.