It doesn't have any restrictions on the audio sample to be verified, because it only extracts voice features to score similarity. Text-independent verification has no restrictions on what the speaker says during enrollment, besides the initial activation phrase when active enrollment is enabled. Together, the voice signature and the passphrase are used to verify the speaker. Voice features are extracted from the audio recording to form a unique voice signature, and the chosen passphrase is also recognized. Text-independent verification means that speakers can speak in everyday language in the enrollment and verification phrases.įor text-dependent verification, the speaker's voice is enrolled by saying a passphrase from a set of predefined phrases. Text-dependent verification means that speakers need to choose the same passphrase to use during both enrollment and verification phases. Speaker verification can be either text-dependent or text-independent. The following flowchart provides a visual of how this works: For example, you can use it for customer identity verification in call centers or contactless facility access. Speaker verification streamlines the process of verifying an enrolled speaker identity with either passphrases or free-form voice input. For more information, see Limited access for speaker recognition. You can apply for access through the Azure AI services speaker recognition limited access review. Microsoft limits access to speaker recognition.

Microsoft speech to text recognizing