Give your customers the most natural and secure authentication experience on the market
By supporting both Text-dependent (active) and Text-independent (passive) modes, we have an authentication solution for every use-case. Full replay-detection and synthesis-detection are standard, with both cloud and on-premise deployments supported.
Our speed and accuracy are unsurpassed, providing enhanced security throughout the call centre authentication workflow, greatly improved frictionless customer experience.
Significant cost reductions and returns on investment (ROI) through enabling self-service Interactive Voice Response systems (IVRs) and reducing average call handling (ACH) time for agents.
Using our simple REST API we can support a range of user-interfaces including call-back, app-based authentication and direct browser audio input.
No passwords, no PINs and no memorable data to forget. ValidSoft’s voice biometric authentication platform stops fraud and chargebacks whilst providing your customers with a natural, user-friendly experience.
Fully support transaction verification against Man-in-the-Browser (MitB) and Man-in-the-Middle (MitM) attacks and are fully compliant with the requirements of PSD2
We integrate with AI speechbots whether using active or passive modes of communication.
It is this technology that allows IoT devices such as smart speakers to identify who, in a family for instance, is speaking a command, rather than just understanding the command, and to identify the driver of a car simply through their voice.
As vehicles increasingly become connected devices, the need for understanding who is requesting access to external information such as email, not just the vehicle’s seat and infotainment settings, becomes critical. And ValidSoft provides the only high-definition voice biometric engines that can be deployed in the cloud, on-premise and on-device, catering for both connected and offline processing.
Remote healthcare, through the use of smart-phones and tablets, with access to patients’ medical records, is streamlining the way care is administered. However, it is also paramount that only authorised users can obtain access to these systems and the data they contain.
ValidSoft’s high-definition voice biometrics for use with smart-devices and digital communication channels provides the highest level of identity assurance available and ensures compliance with all healthcare privacy regulations such as HIPAA.
In simple terms, how does Voice Biometrics work?
Every person’s throat, palette and vocal chords are uniquely different and it is these elements that primarily affect the air being expelled from our lungs and out of our mouths when we speak. Starting with the raw audio and waveform generated when we speak, much of which is beyond the human audible range, our voice biometric system processes the audio waveform to extract key features that are unique to each speaker. From this a statistical model and a voice signature is built for each individual person enrolled on the system. When subsequently comparing speech audio, e.g. authenticating a person against their previously enrolled voice signature, the same process is applied and a similarity measure of the key features is obtained, the value of which indicates a pass or fail. There are many different features that can be extracted from a speech signal and speech scientists class them from low level to high level.
Voice biometrics differs from ‘speech recognition’ in that “voice biometrics knows who you are but not what you’re saying” and so is used to authenticate an individual’s identity, whereas “speech recognition knows what you’re saying but not who you are” and thus is used for voice command applications. It is not unusual for the two technologies to be used in tandem but it is important to understand the distinction between them.
Can an impersonator fool a voice biometrics system?
When someone mimics another individual’s voice they copy high-level language mannerisms that are sufficient to fool human hearing. Our voice biometrics system exploits the full range of language mannerisms, much of which is outside of the human audible range, created by the speaker’s unique vocal tract. In effect it’s easy to copy the way a person speaks (accent, mannerism) and the human ear might well think that an impersonator sounds very much like the person they’re mimicking, but it’s impossible to alter the way speech is produced (effect of the vocal tract). Thus our voice biometric engine will notice that fundamental features in the voice are not the same.
Does it work? Does it always work?
Biometric systems, including voice, are highly accurate but no pure biometric solution, regardless of modality, can ever achieve 100% performance across all scenarios. Typical accuracy rates for stand-alone voice biometric engines are in the region of 98% - 99% over traditional telephony transmission and approaching 100% where high-definition audio is available, i.e. WiFi/3G/4G. This is why ValidSoft recommends that its voice biometric engine is used in conjunction with its user authentication platform, enabling the system to utilise multiple authentication factors and contextual data, to deliver a highly secure and user friendly experience that’s tuned to the specific application.
Can a recording of a person fool a voice biometric system?
Using a recording device to playback another person’s voice is known as a ‘replay attack’. Our voice biometric technology uses a number of different processes to detect such attacks. These range from detecting ‘machine noise’ from the recording and playback device(s), to identifying waveform clipping and compression, missing high and low frequencies that are outside of the human audible range, identical utterance detection and various ‘liveness detection’ methods.