Huawei Technologies Co., Limited

Tsinghua University

Beijing D-ear Technologies Co., Ltd.

Lantian Li

Gang Wang

Dong Wang

Xiaogang Wang

Xiaojun Wu

Jing Wu

Le Liu

Zhendong Gao

Fang Zheng

Renyu Wang

An identity authentication method is provided, which relates to the field of artificial intelligence. 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.

Identity authentication method and system

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 () for storing the latest speech data into the time-varying data storage unit; a time window channel construction module () 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 () reconstructing the user voiceprint model by using the multiple sets of speech data comprised in the updated time window channel.

Dynamic security code speech-based identity authentication system and method having self-learning function

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Beijing, China

Lantian Li