Abstract: This application relates to the field of artificial intelligence, and provides an identity authentication method. The method includes: obtaining a biological feature extracted from a first registration object in a registration scenario; obtaining a biological feature extracted from a first recognition object in a recognition scenario; calculating a likelihood score based on the biological feature of the first registration object and the biological feature of the first recognition object; and determining, based on the likelihood score, whether an identity of the first recognition object is consistent with an identity of the first registration object. The likelihood score includes a posterior probability part and a marginal probability part.

Abstract: Dynamic security code speech-based identity authentication system and method having self-learning function, being equipped with: a time-varying data storage unit for storing speech data of each user with time labels; a time-varying data update module (23) for storing the latest speech data into the time-varying data storage unit; a time window channel construction module (24) for extracting speech data from the time-varying data storage unit in the order of the time labels, constructing and updating the time window channel comprising multiple sets of speech data; a voiceprint model reconstruction module (25) reconstructing the user voiceprint model by using the multiple sets of speech data comprised in the updated time window channel.

Abstract: Dynamic security code speech-based identity authentication system and method having self-learning function, being equipped with: a time-varying data storage unit for storing speech data of each user with time labels; a time-varying data update module (23) for storing the latest speech data into the time-varying data storage unit; a time window channel construction module (24) for extracting speech data from the time-varying data storage unit in the order of the time labels, constructing and updating the time window channel comprising multiple sets of speech data; a voiceprint model reconstruction module (25) reconstructing the user voiceprint model by using the multiple sets of speech data comprised in the updated time window channel.