Beijing Baidu Netcom Science and Technology Co., Ltd.

Baidu Online Network Technology (Beijing) Co., Ltd.

Baidu Online Network Technology Co., Ltd.

Wentao Ma

Jizhou Huang

Shiqiang Ding

Hao Tian

Shiqi Zhao

Quan Wen

Zhou Xin

Jinyi Lei

Zhongwei Jiang

Xiangyang Zhou

Teng Xu

Haisong Zhang

Xinnuo Xu

Rui Yan

The present application discloses a method and apparatus for guiding a voice-packet recording function, a device and a computer storage medium, and relates to the field of big data. An implementation includes identifying a target user with a voice-packet recording demand using historical map usage behaviors of map users; and identifying a scenario where the target user uses a client terminal, and if the scenario conforms to a voice-packet recording scenario, sending first guidance information of the voice-packet recording function to the client terminal. With the present application, accurate guidance of the voice-packet recording function is realized, and excessive disturbance in the user is reduced.

Method and apparatus for guiding voice-packet recording function, device and computer storage medium

The present disclosure provides a human-machine interactive method based on artificial intelligence and a human-machine interactive device based on artificial intelligence. The method includes: receiving a query from a user; processing the query based on a pre-generated model, and obtaining an answer with a human conversation style corresponding to the query, wherein the model is generated based on a human conversation corpus; and feeding back the answer to the user.

Human-machine interactive method and device based on artificial intelligence

The present disclosure provides methods, computing devices, and storage media for generating a training corpus. The method includes: mining out pieces of data from user behavior logs associated with a target application, each piece of data including a first behavior log and a second behavior log, the first behavior log including a user speech and a corresponding speech recognition result, the second behavior log belonging to the same user as the first behavior log and time-dependent with the first behavior log; and determining the user speech and the corresponding speech recognition result in each piece of data as a positive feedback sample or a negative feedback sample, based on the first behavior log and the second behavior log.

Methods, computing devices, and storage media for generating training corpus

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Beijing, China

Wentao Ma