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

Shanghai Xiaodu Technology Co. Ltd.

Baidu Online Network Technology Co., Ltd.

Yongshuai Lu

Ronggang Luo

Embodiments of the present disclosure provide a method, a device, and a computer readable storage medium for intelligent voice interaction. The method includes: obtaining text information or drawing information input by a user on a digitizer tablet; identifying the text information or the drawing information to obtain an identification result; and transmitting audio information corresponding to the identification result to the digitizer tablet, enabling the digitizer tablet to play the audio information. According to the embodiments of the present disclosure, the digitizer tablet performs an intelligent voice interaction with the user according to the text information or the drawing information input by the user when the user practices calligraphy or drawing, thus increasing an interactivity between the user, especially a child, with the digitizer tablet, and enhancing the child's interest in learning.

Intelligent voice interaction method, device and computer readable storage medium

Embodiments of a method and device for matching a speech with a text, and a computer-readable storage medium are provided. The method can include: acquiring a speech identification text by identifying a received speech signal; comparing the speech identification text with multiple candidate texts in a first matching mode to determine a first matching text; and comparing phonetic symbols of the speech identification text with phonetic symbols of the multiple candidate texts in a second matching mode to determine a second matching text, in a case that no first matching text is determined.

Method, and device for matching speech with text, and computer-readable storage medium

Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method includes: outputting a to-be-read audio in response to receiving a reading instruction from a user; acquiring an actually read audio obtained by reading the to-be-read audio by the user; performing speech recognition on the actually read audio to obtain a recognition result; calculating a similarity between the actually read audio and the to-be-read audio based on a character string corresponding to the recognition result and a character string corresponding to the to-be-read audio; determining, from a predetermined set of similarity intervals, a similarity interval to which the calculated similarity belongs; and outputting a reading evaluation corresponding to the determined similarity interval. The embodiment may help a reader to improve the learning efficiency and learning interest, thereby improving the rate of a user using a device.

Method and apparatus for outputting information

Embodiments of the present disclosure provide voice interaction method and device. The method includes: determining whether a first query statement currently received is a query statement first received within a preset time period; if not, obtaining a second query statement, where the second query statement is a query statement lastly received before receiving the first query statement; obtaining a third sentence vector according to a first sentence vector of the first query statement and a second sentence vector of the second query statement; and obtaining, from a bottom corpus, a first question and answer result corresponding to a fourth sentence vector a similarity between which and the third sentence vector satisfies a preset condition, and returning the first question and answer result. The method provided in the embodiment can return a bottom reply irrelevant to the query statement to the user, thereby improving the user experience.

Voice interaction method and device

Embodiments of the present disclosure relate to a method and apparatus for warning. A method may include: importing a real-time collected traffic data sequence into a pre-trained traffic prediction model, to obtain predicted traffic data, the traffic prediction model being used to calculate and obtain the predicted traffic data according to the real-time collected traffic data sequence; and sending, in response to a difference between the predicted traffic data and actual traffic data corresponding to time being greater than a set threshold, a warning signal.

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Beijing, China

Yongshuai Lu