armour365 Voice Biometrics vs Recognition Technologies Speaker Recognition
armour365 Voice Biometrics
voicebiometrics.aiRecognition Technologies Speaker Recognition
recotechnologies.comSide by side
| Figure | armour365 Voice Biometrics | Recognition Technologies Speaker Recognition |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · AI Voice Biometrics Software | 8.3 (#3) | 7.8 (#7) |
| Deployment | The maker lists cloud and on-premise deployment options. | The engine is offered as embedded, standalone, client-server, hosted at the maker’s facilities, or hosted at a customer’s facilities. |
| Headquarters | Bangalore, Karnataka, India | Westchester County, New York, United States |
| Purpose | armour365 is a language- and text-agnostic voice biometrics solution for authenticating customers, employees, and users. | RecoMadeEasy Speaker Recognition is a language- and text-independent speaker biometrics system for speaker identification and verification. |
Plans
armour365 Voice Biometrics
- DevelopersFree
- Large CorporationsPriced on request
- Small Businesses Owners and StartupsPriced on request
Recognition Technologies Speaker Recognition
No plans published.
In their own words
armour365 Voice Biometrics
armour365 Voice Biometrics verifies customers, employees, and other users by voice, without depending on a particular language or spoken text. It lists telephony, app, web, and social channels, with five seconds of audio for enrollment and three seconds for verification. The maker states that authentication responds in under two seconds. Active authentication can use dynamic pass phrases, and one registration is listed for both active and passive modes. The protection layer is intended to detect recorded and synthetic voices. The product comparison puts equal error rate, false acceptance rate, and false rejection rate below 2% each. Integrations cover more than 20 CRMs and apps, with REST and gRPC connections to existing systems. Cloud and on-premise deployments are available. The maker says voice data is stored and retrieved in an encrypted environment and that Gnani is ISO 27001 certified. Use cases include customer verification, claim management, employee authentication, and customer onboarding for contact centers, banking, and insurance. Developers have a free-for-life plan; paid access is listed from $149/mo.
Recognition Technologies Speaker Recognition
Recognition Technologies Speaker Recognition is a language- and text-independent voice biometrics system for identifying and verifying speakers. A person may enroll in one language and be identified or verified in another. The engine also supports classification, detection, tracking and segmentation. Identification can use open-set or closed-set approaches; closed-set identification can return the nearest enrolled voice even if the speaker is not in the database. The maker describes verification enrollment as about 30 seconds of speech, followed by a few seconds when the speaker returns. Interfaces include a C++ SDK/API, command line, web service, Android and iOS; the engine can also be used as a module of the maker’s IVR system. Deployment options include embedded, server-based, standalone, hosting at Recognition Technologies or hosting at the customer’s facilities. The product page lists Linux, Apple Macintosh OS X and Windows support. Its telephony version supports speaker verification and identification for telephone authentication and access-level control. Pricing is on request, and an evaluation account for the hosted version may be available to interested organizations.