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What is OneVault?
Voice biometrics harnesses the unique characteristics of an individual's voice, including elements like pitch, tone, and rhythm, to facilitate identification, akin to the way digital fingerprints and iris scans are used in other biometric systems. This innovative technology presents substantial advantages for businesses and operations by enabling the authentication of speakers across numerous remote platforms, thereby improving convenience, operational efficiency, and security. A notable advantage of voice biometrics is its ability to operate independently of advanced devices; it can effectively work on basic feature phones, interactive voice response (IVR) systems, or even conventional landlines. The increase in fraudulent activities, particularly in the realm of account impersonations where criminals exploit legitimate user information for unauthorized access to online banking and credit services, emphasizes the pressing need for enhanced security solutions. According to Kaspersky Fraud Prevention, data from 2020 illustrates that half of all fraudulent transactions within the financial sector were associated with account impersonation. In South Africa, the scenario is even more concerning, with the South African Fraud Prevention Service (SAFPS) documenting an alarming 337% surge in such cases, further highlighting the urgent requirement for effective protective technologies such as voice biometrics. As fraudulent tactics continue to adapt and become more sophisticated, the implementation of reliable identification methods is increasingly crucial in protecting individuals’ personal and financial data from malicious actors. This growing reliance on voice biometrics signals a shift towards more secure and user-friendly authentication processes in an era where security is paramount.
What is IDVoice?
Voice biometrics leverages the unique characteristics of an individual's voice as a means of authentication and to enhance user experiences. This technology is recognized by various terms, including voice verification, speaker verification, speaker identification, and speaker recognition. There are two main approaches for applying voice biometrics in practical situations. The first approach, known as Text Independent Voice Verification, enables users to authenticate without having to articulate a specific phrase. In contrast, the second approach, called Text Dependent Voice Verification, necessitates that users enroll by repeating a predetermined phrase, which is not confidential like a traditional password. Additionally, IDVoice accommodates both approaches, providing flexibility tailored to individual needs, and they can sometimes be combined to bolster security and precision. This versatility renders voice biometrics an effective solution across a wide range of authentication contexts, making it a valuable asset in today's digital landscape.
Integrations Supported
ID R&D
IDLive Face
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
OneVault
Company Location
United States
Company Website
onevault.co.za/voice-biometrics/
Company Facts
Organization Name
ID R&D
Date Founded
2016
Company Location
United States
Company Website
www.idrnd.ai/text-independent-voice-verification/
Categories and Features
Categories and Features
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition