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Lifegence Voiceprint API vs Recognition Technologies Speaker Recognition

Lifegence Voiceprint API

github.com

Recognition Technologies Speaker Recognition

recotechnologies.com

Side by side

FigureLifegence Voiceprint APIRecognition Technologies Speaker Recognition
Price from——
Free plan——
Free trial—Yes
Open source——
Web—Yes
Windows—Yes
macOS—Yes
Linux—Yes
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published00
Spec score · AI Voice Biometrics Software7.1 (#17)7.8 (#7)
DeploymentThe project provides a Docker Compose quick start for running the API server.The engine is offered as embedded, standalone, client-server, hosted at the maker’s facilities, or hosted at a customer’s facilities.
EnrollmentThe API enrolls speakers by registering a voiceprint from an audio file.For speaker verification, the page describes enrollment using about 30 seconds of speech, followed by a few seconds of speech when the speaker returns.
PurposeIt is a self-hosted REST API for speaker verification (1:1) and identification (1:N).RecoMadeEasy Speaker Recognition is a language- and text-independent speaker biometrics system for speaker identification and verification.

In their own words

Lifegence Voiceprint API

Lifegence Voiceprint API is a free, open-source, self-hosted REST API for speaker verification and identification. Enrollment records a speaker’s voiceprint; verification compares audio with one enrolled speaker for 1:1 authentication, while identification searches enrolled speakers for a 1:N match. SpeechBrain ECAPA-TDNN produces 192-dimensional voice embeddings. The documented inputs are WAV, MP3, WebM, and OGG recordings lasting 3 to 30 seconds, with 5 to 10 seconds recommended. Docker Compose starts the API with PostgreSQL 16 and pgvector plus Redis 7. Requests use API keys in the X-API-Key header. Enrollment includes consent fields, and a delete endpoint removes associated voiceprint data. The security policy recommends TLS 1.3 in transit, encryption at rest, and treating embeddings as sensitive biometric information. Rate limits are 10 enrollment, 60 verification, and 30 identification requests per minute. The current version has no liveness or anti-spoofing controls and does not guarantee perfect recognition accuracy.

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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.

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