VoiceExtract AI
Forensic audio extraction, noise separation and speaker verification.
- Background noise & interference removal
- Voiceprint matching & speaker verification
- Forensic audio enhancement for evidence
Speaker verification, acoustic profiling & voice defense
Reference vs questioned
Reference sample
Same speaker?Spoken or made?
Questioned recording
The stretch that does not sit over the reference is marked, not the whole file.
Acoustic profile
- Reference
- Questioned
Overview
What Voice Forensics does
Voice Forensics makes a recording usable and a live call safer. It clears up difficult audio, separates who said what, reads how something was said as well as the words, and can stop a call where the voice on the line has been cloned.
Voice has become the weak point. A short clip of someone speaking is enough to produce a convincing imitation of them, and a phone call is still how a great many instructions are given and accepted. At the same time the recordings that matter most, taken in noisy rooms or over poor lines, are often the hardest to make sense of.
Voice Forensics addresses both. It takes a difficult recording and makes it clear enough to work with, separates a conversation into who spoke when, and considers how something was said alongside what was said. On a live call it can flag that the voice being heard shows signs of having been cloned, while the call is still in progress.
It is used by the teams that have to act on what they hear. A contact centre deciding whether an instruction is genuine. An investigator preparing a recording for a case file. A quality or compliance team reviewing conversations at a volume no person could listen through.
- Products across voice forensics and call screening
4
Products across voice forensics and call screening
- A call as it happens, or a recording after the fact
Live or recorded
A call as it happens, or a recording after the fact
- Every result returns the evidence behind it
Findings included
Every result returns the evidence behind it
In this category
4 products. One voice, examined four for ways
A recording can need clearing up, splitting between speakers, or reading for how something was said. A live call needs stopping before an instruction is acted on. There is a product for each of those, and each reports in the same language.
Voice Profile AI
Speaker separation and organised speaker timelines for multi-speaker audio.
- Multi-format audio support, including telephone recordings
- Speaker separation with consistent speaker tracking
- Organised speaker tracks, clips & timelines
VoiceEmo AI
Voice, spoken context and emotional signals in one view.
- Voice delivery, stability & tone signals
- Spoken context & sentiment considered together
- Conversation timelines & reviewable reports
CallScreener AI
Real-time voice screening and fraud prevention.
- In-band telephony call screening
- Voice-cloning Vishing attack detection
- Automated scam call interception
How it works
Four steps, from a difficult recording to a usable answer
The same path runs whether the audio arrives as an old recording or as a call that is still connected.
- RecordingsIncluding poor and noisy audio
- Voice notesSent in, or held on file
- Live callsWhile still connected
However it arrives
Three questions
Who, what and is it really them
- Made clear enough to work with
- Separated into who spoke when
- How it was said, alongside what was said
- Whether the voice shows signs of cloning
An assessment, not an accusation
Results are returned with the findings behind them, so the person deciding can weigh them rather than accept a score.
- A reviewable recordTimelines, clips and findings
- A warning in timeOn a call, before an instruction is acted on
- 01
Bring the audio in
Send a recording, a voice note or a file from an existing archive, or connect the check to calls as they come in. Teams can work in the tools they already use.
- 02
Make it usable
Difficult audio is cleared up so that speech buried under noise or a bad line can be heard properly. A conversation is separated into who spoke when, so a long recording becomes something you can navigate.
- 03
Read what it tells you
Beyond the words, the way something was said is taken into account, and a voice can be compared against a known speaker. On a live call, signs that the voice has been cloned can be raised while the call is still running.
- 04
Act, and keep the record
A clear result comes back with the findings behind it, laid out as a timeline with the passages worth listening to. It is prepared in a form suitable for an investigation, a quality review or an audit record.
Use cases
Where organisations put it to work
Wherever a decision rests on something somebody said. These are the situations teams bring to the category most often.
Banking and contact centres
Screen calls where an instruction is being given, so a cloned voice asking for a transfer or a password reset is caught while the caller is still on the line rather than during a later review.
Law enforcement and investigations
Make a poor recording clear enough to rely on, establish who was speaking at each point, and prepare the result in a form that can go into a case file and be followed by a colleague.
Insurance
Review recorded claim conversations at volume, with the passages that warrant a closer listen marked, rather than sampling a handful of calls by hand.
Legal and dispute resolution
Turn a long, multi speaker recording into an organised account of who said what and when, so a disputed conversation can be examined rather than argued over from memory.
Enterprise security
Protect against calls that impersonate senior people, whose voices are often publicly available, at the moment an urgent request is made rather than after the money has moved.
Customer experience and quality
Understand how conversations actually went, taking account of how things were said as well as what was said, across far more calls than a team could listen to.
FAQ
What people ask about Voice Forensics
Answered the way a contact centre lead, an investigator or a compliance officer asks them.
Voice Forensics is FaceOff's suite for making sense of what was said and establishing whether the voice saying it is genuine. It clears up difficult recordings, separates a conversation into who spoke when, takes account of how something was said alongside the words, and can flag a cloned voice on a live call. It is used by contact centres, investigators, insurers and compliance teams who have to act on what they hear.
Yes. A voice on a live call can be assessed for signs of having been cloned or synthesised, and the warning is raised while the call is still connected rather than found afterwards. This matters because a great many instructions are still given by phone, and by the time a recording is reviewed the instruction has usually already been carried out.
Making difficult audio usable is one of the main things the suite is for. Recordings made in noisy rooms, over bad lines or on old equipment can be cleared up so that speech which was previously hard to follow can be heard properly. The result is intended to be workable evidence rather than a perfect recording, and what was done to it is recorded alongside it.
A conversation can be separated into who spoke when, so a long recording with several people in it becomes a timeline you can navigate rather than an hour of audio. Where there is a known sample of someone's voice, speech can also be compared against it to support or question the claim that a particular person was the speaker.
Voice Forensics is designed so that checking a voice does not leave an organisation holding a new central collection of voice records. Analysis can be run inside an organisation's own environment where the material is sensitive, is subject to legal privilege, or must not leave a jurisdiction. The intent is that examining a recording reduces risk overall rather than trading one exposure for another.
Voice Forensics is used by banks and contact centres screening calls that carry instructions, law enforcement and investigation teams preparing recordings as evidence, insurers reviewing recorded claim conversations, legal teams examining disputed calls, and enterprise security teams guarding against impersonation of senior staff. What these teams share is that a decision rests on something somebody said.
Voice Forensics produces an evidence based assessment, not a guarantee. Voice cloning techniques change continuously, and any method of judging a voice, including a person listening carefully, can be mistaken in either direction. That is why every result is returned with the findings behind it and points to the passages worth reviewing, so the assessment informs the person deciding rather than replacing them.
The rest of the line
More in Data Security
Hear what Voice Forensics gets out of your audio
Bring a recording you have struggled with, or a call type you are worried about. We will walk through what comes back and how a reviewer would use it.