Huawei Technologies Co., Limited

Tsinghua University

Zhendong Gao

Dong Wang

Jing Wu

Lantian Li

Jian Jin

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

Embodiments of the present invention disclose a sensitivity calibration method and an audio device. The method of the present invention includes determining whether a first signal captured in a current frame by a primary capture module is a circuit noise. When the first signal is not a circuit noise, if the first signal has a stationary noise characteristic, a first calibration gain is determined according to the first signal and a second signal captured in the current frame by a secondary capture module. The second signal is calibrated according to the first calibration gain, so that sensitivity of the primary capture module is consistent with sensitivity of the secondary capture module.

Sensitivity calibration method and audio device

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Shanghai, China

Zhendong Gao