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

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology Co., Ltd.

Shiqiang Ding

Jizhou Huang

Jinyi Lei

Wentao Ma

Wei Zhang

Haifeng Wang

Di Wu

Shiqi Zhao

Zhongwei Jiang

Chongli Zhu

Chengzhou Li

Changshun Hou

Technical solutions relate to the fields of artificial intelligence technologies and voice technologies. A technical solution includes: performing voice recognition and demand analysis on a voice instruction input by a user; in response to an unknown demand obtained by the demand analysis, acquiring information of a query entity and query content using a result of the demand analysis, and acquiring reply information corresponding to the query content by communication with the query entity; and returning a first voice response to the user using the reply information.

Voice interaction method and apparatus, device and computer storage medium

Provided are a query rewriting method and apparatus, a device and a storage medium, relating to the technical field of data processing and, in particular, to technical fields including artificial intelligence, speech technology, intelligent search and deep learning. The solution includes, in response to a query rewriting request, extracting at least one of context information of an original query and intention information of the original query; and determining a new query based on a machine vocabulary collection and the at least one of the context information and the intention information. The understanding degree to the new query by a machine is greater than the understanding degree to the original query by the machine.

Query rewriting method and apparatus, device and storage medium

A method, apparatus, device and computer storage medium for processing voices, which relate to the technical field of voices, are disclosed. An implementation includes: recognizing a voice request received by a first voice assistant to obtain a text request; determining information of a second voice assistant which is able to process the text request; and calling the second voice assistant to respond to the text request.

Method, apparatus, device and computer storage medium for processing voices

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

A route planning method includes: receiving a route planning request including information of a starting position and information of a destination position; planning a route from the starting position to the destination position based on conditions about a road including a physical isolation belt; sending a route planning result, the conditions about a road including a physical isolation belt are fused into the route planning.

Route planning method, device and computer storage medium

A method, an apparatus, an electronic device and a storage medium for broadcasting a voice are provided. The method may include: sending a voice broadcast request to a server, where the voice broadcast request includes at least one of scenario information, user information or voice packet setting information; receiving a voice broadcast instruction corresponding to the voice broadcast request returned by the server; and acquiring a personalized voice packet corresponding to the voice broadcast instruction in a local database and broadcasting the personalized voice packet.

Method, apparatus, electronic device and storage medium for broadcasting voice

The present disclosure provides a method of building a sorting model, and an application method and apparatus based on the model. The method of building a sorting model comprises: obtaining, from a search log, a query including a relationship triple and a clicked title of a search result corresponding to the query, wherein the relationship triple includes a content word pair and a relationship word of the content word pair; obtaining training data using the obtained query, the clicked title corresponding to the query, and times of click of the clicked title; using the training data to train a neural network-based sorting model, the sorting model being used to sort sentences according to the sentences' description of a relationship of the content word pair. The sorting model may be used to implement the following applications: sorting the search results of the query comprising the relationship triple, determining the sentence describing the relationship of the content word pair; upon displaying the relevant content word with respect to the query including the content word, the search engine can further display the sentence describing the relationship between the relevant content word and the searched content word.

Method of building a sorting model, and application method and apparatus based on the model

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.

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Beijing, China

Shiqiang Ding