CN112434148A - Intelligent robot response method and device based on artificial intelligence - Google Patents
Intelligent robot response method and device based on artificial intelligence Download PDFInfo
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Abstract
The invention relates to an intelligent robot response method and device based on artificial intelligence, which are used for acquiring voice signals of students, performing voice recognition on the voice signals to obtain a plurality of initial keywords related to the voice signals, acquiring target keywords determined by the selection of the students on the plurality of initial keywords according to the plurality of initial keywords, inputting the target keywords into a target response database, acquiring target texts corresponding to the target keywords and displaying the target texts. The intelligent robot response method based on artificial intelligence is an automatic response method, namely an automatic search method, obtains the required text according to voice recognition and a target response database, and greatly improves the efficiency compared with the manual search of a Chinese textbook or other related Chinese readings, thereby improving the learning efficiency.
Description
Technical Field
The invention relates to an intelligent robot response method and device based on artificial intelligence.
Background
At present, in the process of learning a Chinese language, if a student needs to obtain sentences or paragraphs corresponding to some keywords according to the keywords, the student needs to look up a Chinese text book or other relevant Chinese readings, and look up the texts one by one in the Chinese text book or other relevant Chinese readings, so that the efficiency is very low, and the learning efficiency is further reduced.
Disclosure of Invention
The invention provides an intelligent robot response method and device based on artificial intelligence, which are used for solving the technical problem that the existing student Chinese learning efficiency is low.
An intelligent robot response method based on artificial intelligence comprises the following steps:
acquiring voice signals of students;
performing voice recognition on the voice signals to obtain a plurality of initial keywords related to the voice signals;
according to the initial keywords, acquiring target keywords determined by the selection of the initial keywords by the students;
inputting the target keywords into a target response database, and acquiring target texts corresponding to the target keywords;
and displaying the target text.
Optionally, the performing speech recognition on the speech signal to obtain a plurality of initial keywords related to the speech signal specifically includes:
and carrying out voice recognition on the voice signal to obtain a plurality of initial keywords with the same pronunciation, wherein the pronunciation of each initial keyword is the same as that of the voice signal.
Optionally, the obtaining, according to the plurality of initial keywords, target keywords determined by the student selecting the plurality of initial keywords is specifically:
displaying the plurality of initial keywords on a touch screen;
acquiring click signals generated by clicking and selecting the initial keywords by the students;
and determining to obtain the target keyword according to the click signal.
Optionally, the creating process of the target response database specifically includes:
acquiring a plurality of original articles;
acquiring an intermediate text from the original article according to the original article and preset feature information;
acquiring each keyword in the intermediate text according to the characteristic information;
and constructing a corresponding relation between each keyword and the intermediate text, and storing the corresponding relation into a blank response database to obtain the target response database.
Optionally, the obtaining, according to the feature information, each keyword in the intermediate text specifically includes:
acquiring a corresponding keyword set according to the characteristic information;
and acquiring keywords in the intermediate text existing in the keyword set according to the intermediate text and the keyword set to obtain each keyword in the intermediate text.
Optionally, the constructing the corresponding relationship between each keyword and the intermediate text specifically includes:
in each keyword, if a certain keyword only corresponds to one intermediate text, constructing a corresponding relation between the keyword and the corresponding intermediate text; and if a certain keyword corresponds to a plurality of intermediate texts, integrating the intermediate texts corresponding to the keyword together to form an intermediate text set, and constructing the corresponding relation between the keyword and the corresponding intermediate text set.
An intelligent robot answering device based on artificial intelligence comprises a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor executes the computer program to realize the intelligent robot answering method based on artificial intelligence.
The intelligent robot response method based on artificial intelligence provided by the invention has the beneficial effects that: the method comprises the steps of firstly obtaining voice signals of students, carrying out voice recognition on the voice signals, wherein a plurality of characters can be recognized by the same voice signal, namely a plurality of initial keywords are recognized, each initial keyword is related to the voice signals, for example, the pronunciation of each initial keyword is the same as that of the voice signals, then, the students select target keywords from each initial keyword, the target keywords are keywords spoken by the students, then, the target keywords are input into a target response database, target texts corresponding to the target keywords are obtained, the target texts are sentences or paragraphs in articles in a Chinese text book corresponding to the target keywords or other related Chinese texts, and finally, the target texts are displayed. Therefore, the intelligent robot response method based on artificial intelligence provided by the invention is an automatic response method, namely an automatic search method, obtains the required text according to the voice recognition and the target response database, and greatly improves the efficiency compared with the manual search of the Chinese textbook or other related Chinese readings, thereby improving the learning efficiency.
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Fig. 1 is a flowchart of an intelligent robot response method based on artificial intelligence.
Detailed Description
The embodiment provides an intelligent robot response method based on artificial intelligence, a hardware execution main body of the intelligent robot response method is an intelligent robot, and can also be an intelligent device with voice signal acquisition, recognition and data processing, such as an intelligent mobile terminal, a notebook computer, a desktop computer, and the like. The application scene applicable to the intelligent robot response method is school and is used for student Chinese learning.
As shown in fig. 1, the intelligent robot answering method includes the following implementation steps:
step S1: acquiring voice signals of students:
the intelligent robot is provided with a voice collector, such as a microphone. When the student needs to study, the voice signal is spoken. It should be appreciated that in order to collect valid voice signals, students may speak voice signals while standing relatively close to the intelligent robot.
The voice collector collects voice signals of students.
Step S2: performing voice recognition on the voice signal to obtain a plurality of initial keywords related to the voice signal:
the speech signal is speech recognized, it being understood that any speech recognition algorithm currently available may be used for speech recognition. Moreover, since there are cases where a plurality of words have the same pronunciation, such as "hao xian", "Hao" and "Hao Xian", the voice recognition algorithm cannot recognize the intention of the student, and thus the real word read by the student cannot be accurately obtained. Then, speech recognition is performed on the speech signal to obtain a plurality (i.e., at least two) of initial keywords associated with the speech signal. It should be understood that the initial keyword associated with the speech signal refers to: the pronunciation of each initial keyword is the same, and the pronunciation of each initial keyword is the same as the speech signal. Such as: if the speech signal is "hao xian", the initial keywords obtained by recognition include "good idle", "good risk" and "good salt".
It should be understood that the keywords in this embodiment, whether the keywords are the initial keywords or the keywords in the following text, may be single characters, or may be words or phrases composed of at least two characters.
Step S3: according to the initial keywords, acquiring target keywords determined by the selection of the initial keywords by students:
after obtaining a plurality of initial keywords, it is necessary to select the correct target keyword from the initial keywords. In this embodiment, the intelligent robot has a touch screen, and after the initial keywords are obtained, the initial keywords are displayed on the touch screen, and after the students see the initial keywords displayed on the touch screen, the students select correct target keywords from the initial keywords, that is, click the target keywords on the touch screen to select, and the touch screen receives a click signal, and the intelligent robot determines to obtain the target keywords according to the click signal.
Step S4: inputting the target keywords into a target response database, and acquiring a target text corresponding to the target keywords:
after obtaining the target keyword, inputting the target keyword into a target response database, wherein the target response database is created in advance, and as a specific implementation, a specific creation process is given as follows:
the method comprises the steps of obtaining a plurality of original articles, wherein the original articles are sample articles used for creating a target response database, the number of the original articles is set according to actual needs, and it should be understood that the original articles can be set to be enough, so that data in the target response database are complete and complete enough. The original articles are articles that the student needs to master or understand, such as articles in a chinese textbook and/or articles in a chinese reading, or articles related to a learning plan or an examinee.
The feature information is preset, and may be feature information related to learning of the student, such as feature information related to a learning plan or an examinee, in this embodiment, the feature information includes a keyword set, and the keyword set includes keywords that the student needs to master or know, or keywords related to learning of the student. It should be understood that the set of keywords contains a large number of keywords. The intermediate texts are obtained from the original articles according to the original articles and preset feature information, and then the intermediate texts are texts containing the feature information in the original articles. The intermediate text may be set in units of one sentence or a plurality of sentences, or in units of paragraphs, specifically according to actual needs.
In this embodiment, a keyword set is obtained according to the preset feature information, and then, according to the intermediate text and the keyword set, keywords existing in the keyword set in the intermediate text are obtained to obtain each keyword in the intermediate text, specifically: and comparing each intermediate file with the keyword set to obtain the keywords in the keyword set in each intermediate file, and further obtaining each keyword in the intermediate text.
Constructing the corresponding relation between each keyword and the intermediate text, and giving the construction process of the corresponding relation between each keyword and the intermediate text as follows:
for a certain keyword in each keyword, the keyword may only exist in one intermediate text, that is, the keyword only corresponds to one intermediate text, and then, for the keywords of this kind, the corresponding relationship between the keyword and the corresponding intermediate text is constructed; the keyword may also exist in a plurality of intermediate texts, that is, the keyword exists in each of the plurality of intermediate texts, the intermediate texts corresponding to the keyword are integrated together to form an intermediate text set, and for the keyword of this kind, a corresponding relationship between the keyword and the corresponding intermediate text set is constructed. In addition, there may be a special case: if a plurality of keywords exist in the intermediate text, establishing the corresponding relation between each keyword and the intermediate text. Therefore, no matter what kind of corresponding relationship exists between the keywords and the intermediate text, the corresponding relationship between each keyword and the intermediate text is finally obtained. The purpose of establishing the corresponding relation is as follows: according to a certain keyword, the intermediate text in which the keyword appears can be obtained.
And after the corresponding relation is obtained, storing the corresponding relation into a preset blank response database to obtain a target response database.
Then, the target keyword is input into the target response database, and the corresponding target text can be obtained according to the target keyword, wherein the target text is a text containing the target keyword. It should be understood that the target text may be one text or a text set including a plurality of texts.
Step S5: displaying the target text:
after the target text is obtained, the target text is displayed on the touch screen, and the student can see the required text.
The embodiment also provides an intelligent robot answering device based on artificial intelligence, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to realize the intelligent robot answering method based on artificial intelligence. Therefore, the intelligent robot responding device based on artificial intelligence is a software device, and the essence of the intelligent robot responding device based on artificial intelligence is still the intelligent robot responding method based on artificial intelligence.
The above-mentioned embodiments are merely illustrative of the technical solutions of the present invention in a specific embodiment, and any equivalent substitutions and modifications or partial substitutions of the present invention without departing from the spirit and scope of the present invention should be covered by the claims of the present invention.
Claims (7)
1. An intelligent robot response method based on artificial intelligence is characterized by comprising the following steps:
acquiring voice signals of students;
performing voice recognition on the voice signals to obtain a plurality of initial keywords related to the voice signals;
according to the initial keywords, acquiring target keywords determined by the selection of the initial keywords by the students;
inputting the target keywords into a target response database, and acquiring target texts corresponding to the target keywords;
and displaying the target text.
2. The intelligent robot response method based on artificial intelligence according to claim 1,
the performing speech recognition on the speech signal to obtain a plurality of initial keywords related to the speech signal specifically includes:
and carrying out voice recognition on the voice signal to obtain a plurality of initial keywords with the same pronunciation, wherein the pronunciation of each initial keyword is the same as that of the voice signal.
3. An intelligent robot response method based on artificial intelligence according to claim 1, wherein the target keywords determined by the student selecting the initial keywords according to the initial keywords are specifically:
displaying the plurality of initial keywords on a touch screen;
acquiring click signals generated by clicking and selecting the initial keywords by the students;
and determining to obtain the target keyword according to the click signal.
4. An intelligent robot response method based on artificial intelligence as claimed in claim 1, wherein the creation process of the target response database is specifically:
acquiring a plurality of original articles;
acquiring an intermediate text from the original article according to the original article and preset feature information;
acquiring each keyword in the intermediate text according to the characteristic information;
and constructing a corresponding relation between each keyword and the intermediate text, and storing the corresponding relation into a blank response database to obtain the target response database.
5. An intelligent robot response method based on artificial intelligence according to claim 4, wherein the obtaining of each keyword in the intermediate text according to the feature information specifically comprises:
acquiring a corresponding keyword set according to the characteristic information;
and acquiring keywords in the intermediate text existing in the keyword set according to the intermediate text and the keyword set to obtain each keyword in the intermediate text.
6. The response method of an intelligent robot based on artificial intelligence according to claim 1, wherein the constructing of the correspondence between each keyword and the intermediate text specifically comprises:
in each keyword, if a certain keyword only corresponds to one intermediate text, constructing a corresponding relation between the keyword and the corresponding intermediate text; and if a certain keyword corresponds to a plurality of intermediate texts, integrating the intermediate texts corresponding to the keyword together to form an intermediate text set, and constructing the corresponding relation between the keyword and the corresponding intermediate text set.
7. An intelligent robot answering device based on artificial intelligence, comprising a memory and a processor, and a computer program stored on the memory and running on the processor, wherein the processor, when executing the computer program, implements the artificial intelligence based intelligent robot answering method according to any one of claims 1-6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113515590A (en) * | 2021-04-21 | 2021-10-19 | 洛阳青鸟网络科技有限公司 | Intelligent robot response method and device based on big data |
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Application publication date: 20210302 |