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

Shanghai Xiaodu Technology Co. Ltd.

Guoguo Chen

Qinggeng Qian

Peng Wang

Tao Xiong

Yuan Tian

Ji Zhou

Kaihua Zhu

Yufeng Wang

Aihui An

Yaqian Zhang

Yunfei Xu

Jingya Wang

Ming Yu

Jianan Xu

Sha Tao

Kang Lei

Yonghui Zuo

A conversation interaction method and apparatus, and a computer-readable storage medium are provided. The method includes: converting a speech to be recognized into a first text; inputting the first text into a semantic analysis model, to obtain intention information and slot information of the first text; and inputting the intention information and the slot information of the first text into a conversation state machine, to obtain interaction information corresponding to the first text. By using a semantic analysis model, intention information and slot information of a first text are obtained directly from the first text. The process in the existing technology, where a semantic analysis model needs to be used immediately after a language model, is avoided, thereby shortening processing time and making it possible to respond faster to a user. Further, by using the above scheme, calculation complexity and the cost of a whole system are reduced.

Conversation interaction method, apparatus and computer readable storage medium

The present disclosure discloses a method and an apparatus for testing a speaker, an electronic device and a storage medium. A specific implementation includes: obtaining first audio data recorded by a microphone integrated with the speaker in ambient white noise; analyzing the first audio data to derive a first analysis result; and determining whether there is a defect in the microphone according to the first analysis result. Hence, these allow for testing a completed set on an assembled speaker to ensure the consistency of a microphone test and improve the accuracy of the test result.

Method and apparatus for testing speaker, electronic device and storage medium

Vehicle-carrying smart bracket

This disclosure provides a method, apparatus, device, and storage medium for voice interaction, where the method is applied to an AI device to determine whether a current scenario of the AI device is a preset scenario and waken a voice interaction function of the AI device to facilitate voice interaction with a user in response to the current scenario of the AI device being the preset scenario. A scenario directly triggers the voice interaction process, thereby avoiding the process of wakening by physical wakening or a wakening word, simplifying the process of using voice interaction, reducing the costs of learning voice interaction, and improving user experience.

Method, apparatus, device, and storage medium for voice interaction

A method for selectively interacting with multi-devices is provided. The method includes the following steps: receiving identical voice information transmitted by a plurality of terminal devices respectively; performing voice recognition on the received voice information; calculating energy of a wake-up word in respective voice information; and comparing the energy of one wake-up word with another, and transmitting feedback information to the terminal devices according to an energy comparison result and a voice recognition result. By calculating the energy of the wake-up word in respective voice information transmitted by respective devices, the distances between respective device and a user can be distinguished. A unique response can be ensured by determining that the device closest to the user responds to the user's request, thus ensuring the user experience.

Method, device and apparatus for selectively interacting with multi-devices, and computer-readable medium

Growing community of inventors

Beijing, China

Guoguo Chen