LumenVox Active Voice Biometrics vs Recognition Technologies Speaker Recognition
LumenVox Active Voice Biometrics
lumenvox.capacity.comRecognition Technologies Speaker Recognition
recotechnologies.comSide by side
| Figure | LumenVox Active Voice Biometrics | Recognition Technologies Speaker Recognition |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| 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 | 1 | 0 |
| Spec score · AI Voice Biometrics Software | 7.4 (#14) | 7.8 (#7) |
| Deployment | Runs as containerized microservices on Kubernetes on-premises, in private or public clouds, or across hybrid environments. | The engine is offered as embedded, standalone, client-server, hosted at the maker’s facilities, or hosted at a customer’s facilities. |
| Purpose | Text-dependent voice authentication for enterprises seeking stronger identity assurance than passwords, PINs and security questions. | RecoMadeEasy Speaker Recognition is a language- and text-independent speaker biometrics system for speaker identification and verification. |
Plans
LumenVox Active Voice Biometrics
- Capacity Private Cloud Active Voice BiometricsPriced on request
Recognition Technologies Speaker Recognition
No plans published.
In their own words
LumenVox Active Voice Biometrics
LumenVox Active Voice Biometrics provides text-dependent voice authentication for enterprises seeking identity assurance beyond passwords, PINs, and security questions. Containerized microservices run on Kubernetes on-premises, in private or public clouds, or across hybrid environments. A deep-neural-network engine supports active, passive, and hybrid authentication. Enrollment and verification can use any passphrase and language supported by the corresponding ASR engine. Playback, liveness, synthetic-speech, and fraud-watchlist checks address presentation attacks. APIs create, retrieve, disable, re-enable, and remove identities and query enrollment status. Biometrics, Speech, Management, and Reporting APIs are exposed through gRPC and REST. Supported channels include contact-center IVR, smartphone and web applications, desktop applications, virtual assistants, video calls, messaging platforms, and conversational AI. Enrollment requires at least three separate utterances. Audio must be headerless base64 PCM-16, A-law, or μ-law at 8 kHz. Data is encrypted at rest and in transit, with customer-controlled keys and TLS between components. Pricing is on request.
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.