Azure AI Speech vs Recognition Technologies Speaker Recognition

Azure AI Speech has no write-up on Specifiction yet; its figures are above.

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.