CN112257415A - Method, system, electronic device and storage medium for searching word bank by voice - Google Patents
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Abstract
The application relates to a method, a system, an electronic device and a storage medium for searching a word bank by voice, wherein the method for searching the word bank by voice comprises the following steps: classifying a system word stock, wherein the system word stock comprises an application program word stock in each application program, the application program word stock is a primary word stock, the same category under the primary word stock is divided into a secondary word stock, voice information of a user is acquired, the voice information is converted into text information, keywords of the text information are extracted, the secondary word stock corresponding to the keywords is searched, the secondary word stock is searched, and a search result is returned. By the method and the device, the searching range is reduced, the problems that the searching speed is lower and slower and the voice searching efficiency is lower and lower due to the fact that the capacity of the system word bank is continuously expanded and the number of entries in the word bank is more and more are solved, and the voice searching efficiency is improved.
Description
Technical Field
The present application relates to the field of search technologies, and in particular, to a method, a system, an electronic device, and a storage medium for searching a thesaurus by using speech.
Background
The smart television is a new product formed based on internet wave impact, and aims to bring more convenient experience to users, and the smart television is a trend of televisions at present, has a fully-open platform, carries an operating system, can automatically install and uninstall various application software while enjoying common television content, and continuously expands and upgrades functions, so that the functions of the television are more and more increased, and people can not only watch the television on the smart television, but also listen to music, set an alarm clock, take pictures and the like on the smart television. However, as the number of functions, movies, songs, and the like of the television is increased, the number of entries in the system word library is increased, so that the speed of searching results is reduced, and the efficiency of voice search is affected.
At present, no effective solution is provided for the problem that the voice search efficiency is lower and lower due to continuous capacity expansion of a system word bank in the related technology.
Disclosure of Invention
The embodiment of the application provides a method, a system, an electronic device and a storage medium for searching a word bank by voice, so as to at least solve the problem that the efficiency of voice search is lower and lower due to continuous expansion of the system word bank in the related technology.
In a first aspect, an embodiment of the present application provides a method for searching a word bank by voice, where the method includes:
classifying system word banks, wherein the system word banks comprise application program word banks in application programs, the application program word banks are primary word banks, and the same categories under the primary word banks are divided into secondary word banks;
acquiring voice information of a user, converting the voice information into text information, and extracting keywords of the text information;
and searching the secondary word bank corresponding to the keyword, searching the secondary word bank, and returning the search result.
In some embodiments, after extracting the keywords of the text message, the method further comprises:
counting the weight of the secondary lexicon within a preset time to generate a weighted value, and counting a user history record within the preset time to generate application program state information;
generating user state information according to the application program state information and the weight value;
and searching the corresponding secondary word bank according to the user state information and the keywords, and returning a search result.
In some embodiments, searching the corresponding secondary thesaurus according to the user state information and the keywords comprises:
searching the corresponding primary lexicon according to the keyword, and searching the corresponding secondary lexicon for the searched primary lexicon;
and comparing the weight values of the searched secondary word banks according to the user state information, searching the secondary word bank with the maximum weight value, and searching the application program corresponding to the secondary word bank with the maximum weight value according to the application program using times and using duration in the application program state information.
In some embodiments, said searching for the secondary thesaurus corresponding to the keyword includes:
and searching a corresponding first related primary word bank according to the keyword, searching a corresponding first related secondary word bank according to the first related primary word bank, searching the first related secondary word bank, feeding back a search result to the user, and searching a second related primary word bank if a target result is not in the search result.
In a second aspect, an embodiment of the present application provides a system for searching a word bank by using speech, where the system includes a word bank classification module, a speech input module, a speech recognition module, and a word bank search module:
the word stock classification module is used for classifying a system word stock, wherein the system word stock comprises an application program word stock in each application program, the application program word stock is a primary word stock, and the same categories under the primary word stock are divided into secondary word stocks;
the voice input module is used for acquiring voice information of a user;
the voice recognition module is used for converting the voice information into text information, extracting keywords of the text information and searching the secondary lexicon corresponding to the keywords;
and the word bank searching module is used for searching the secondary word bank and returning the searching result.
In some embodiments, after extracting the keywords of the text message, the system further comprises a statistical analysis module and a user status module,
the statistical analysis module is used for counting the weight of the secondary lexicon within a preset time to generate a weight value, and counting the user history record within the preset time to generate application program state information;
the user state module is used for generating user state information according to the application program state information and the weight value;
and the word bank searching module searches the corresponding secondary word bank according to the user state information and the keywords and returns a searching result.
In some embodiments, searching the corresponding secondary thesaurus according to the user state information and the keywords comprises:
the voice recognition module searches the corresponding primary lexicon according to the keyword, and searches the corresponding secondary lexicon for the searched primary lexicon;
and comparing the weight values of the searched secondary word banks according to the user state information, searching the secondary word bank with the maximum weight value, and searching the application program corresponding to the secondary word bank with the maximum weight value according to the application program using times and using duration in the application program state information.
In some embodiments, said searching for the secondary thesaurus corresponding to the keyword includes:
the voice recognition module searches a corresponding first related primary word bank according to the key words, and then searches a corresponding first related secondary word bank according to the first related primary word bank,
and the word stock searching module searches the first related secondary word stock, feeds back a search result to the user, and searches a second related primary word stock if a target result is not in the search result.
In a third aspect, an embodiment of the present application provides an electronic apparatus, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor, when executing the computer program, implements the method for searching the thesaurus by using voice as described in the first aspect.
In a fourth aspect, the present application provides a storage medium, on which a computer program is stored, where the program is executed by a processor to implement the method for searching a thesaurus by voice according to the first aspect.
Compared with the related technology, the method for searching the word stock by voice provided by the embodiment of the application classifies the system word stock, the system word stock comprises the application program word stock in each application program, the application program word stock is a primary word stock, the same category under the primary word stock is divided into secondary word stocks, the voice information of a user is obtained, the voice information is converted into text information, the keywords of the text information are extracted, the secondary word stock corresponding to the keywords is searched, the secondary word stock is searched, the search result is returned, the search range is narrowed, the problems that the capacity of the system word stock is continuously expanded, the number of words in the word stock is more and more, the speed of searching the result is more and more slow, the efficiency of voice search is more and more low are solved, and the efficiency of voice search is improved.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of an application environment of a method for searching a thesaurus by voice according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of voice searching a thesaurus according to an embodiment of the present application;
FIG. 3 is a flow chart of another method of phonetic searching a lexicon according to an embodiment of the present application;
FIG. 4 is a block diagram of a system for searching a thesaurus by speech according to an embodiment of the present application;
fig. 5 is a block diagram of another system for searching a thesaurus by voice according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. Reference herein to "a plurality" means greater than or equal to two. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The method for searching a word bank by voice provided by the present application can be applied to an application environment shown in fig. 1, and fig. 1 is a schematic view of an application environment of the method for searching a word bank by voice according to an embodiment of the present application, as shown in fig. 1, wherein a terminal 102 and a server 104 communicate through a network. The server 104 classifies the system lexicon, the system lexicon comprises an application lexicon in each application program, the application lexicon is a primary lexicon, the same category under the primary lexicon is divided into a secondary lexicon, the server 104 acquires the voice information of the user through the terminal 102 and converts the voice information into text information, the server 104 extracts the keywords of the text information, searches the secondary lexicon corresponding to the keywords, searches the secondary lexicon and returns the search result. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
The present embodiment provides a method for searching a word bank by voice, and fig. 2 is a flowchart of the method for searching a word bank by voice according to the embodiment of the present application, and as shown in fig. 2, the flowchart includes the following steps:
step S201, classifying a system lexicon, where the system lexicon includes an application lexicon in each application, the application lexicon is a primary lexicon, and the same category under the primary lexicon is classified into a secondary lexicon. The system lexicon comprises application program lexicons in each application program, such as a video resource lexicon, a music resource lexicon, a system setting lexicon and the like, the lexicons of the application programs such as the video resource lexicon, the music resource lexicon, the system setting lexicon and the like are set as primary lexicons, the same categories under the primary lexicons are classified, each category is a secondary lexicon, for example, the video resource lexicon is a primary lexicon, the video resource lexicon can be divided into war films, swordsmen films, science fiction films and the like, namely the war films, the swordsmen films, the science fiction films and the like are corresponding secondary lexicons under the primary lexicon.
Step S202, acquiring the voice information of the user, converting the voice information into text information, and extracting the keywords of the text information. For example, a user inputs "hounya" by voice, and after acquiring voice information of the user, the voice information is converted into a word "hounya", and then a keyword of the text information is "hounya".
Step S203, searching the secondary word bank corresponding to the keyword, searching the secondary word bank, and returning the search result. For example, when the keyword of the text information is "hou yuan jia", the "hou yuan jia" is judged to be a historical character, and a missing fist is created by self, the secondary word bank corresponding to the keyword is a martial arts in a movie resource word bank, after the martial arts are found to be the secondary word bank corresponding to the keyword, prompt information is generated to inquire the user, after the determined feedback information is received, the martial arts secondary word bank is directly searched, a search result TV drama "hou yuan jia" is returned, after negative feedback information is received, the next corresponding secondary word bank is found, after the movie resource word bank is eliminated, the primary word bank most likely corresponding to the "hou yuan jia" is a music resource word bank, the "hou yuan jia" is judged to be a classic song, the classic song secondary word bank is directly searched, and a search result "hou yuan jia" is returned.
Through the steps S201 to S203, compared to the problem that after the acquired voice information is converted into text information in the related art, the text information is directly searched for the whole system lexicon, and the number of entries in the system lexicon is increased, so that the search range is large, the search speed to the result is slower and slower, and the voice search efficiency is low, the system classifies the system lexicon, each application lexicon included in the system lexicon is a primary lexicon, the same category under the primary lexicon is classified, each category is a secondary lexicon, the text lexicon is directly searched from the corresponding secondary lexicon, so that the search range is reduced to the maximum extent, the search speed to the result is increased, and the voice search efficiency is improved.
In some embodiments, after extracting the keywords of the text information converted from the voice information, the keywords and the user history record may be combined to find a corresponding secondary lexicon, fig. 3 is a flowchart of another method for searching the lexicon by voice according to an embodiment of the present application, and as shown in fig. 3, the flowchart includes the following steps:
step S301, counting the weight of the secondary lexicon within the preset time to generate a weight value, and counting the user history within the preset time to generate application program state information. For example, the preset time is one month, the user watches 10 movies in one month, wherein the number of war pieces is 1, the number of swordsmen pieces is 6, and the number of science fiction pieces is 3, the weight values of the war pieces, the swordsmen pieces and the science fiction pieces are 0.1, 0.6 and 0.3 respectively, and the use condition of each application program in the user history record in the preset time is counted.
Step S302, generating user state information according to the application program state information and the weight value. The user state information comprises the weight value of each secondary lexicon and the condition of using each application program in the user history record, and the preference of the user is judged according to the condition of using each application program and the weight value of each secondary lexicon.
Step S303, searching a corresponding secondary word bank according to the user state information and the keyword, and returning a search result. For example, the user uses the application "angry art" most frequently and uses the most time length within the preset time, and uses the "angry art" to watch martial arts with the largest weight value, when the text information is "hance" it is determined that the secondary thesaurus corresponding to the keyword "hance" has martial arts under the movie resource thesaurus and classic songs under the music resource thesaurus, and it is determined that the user frequently watches martial arts recently by combining the user status information and the keyword, so that the corresponding secondary thesaurus is searched for martial arts under the movie resource thesaurus by combining the user status information and the keyword, the martial arts secondary thesaurus are directly searched, and the search result "hance" is returned, the search result further includes contents related to the "hance" and the result is pushed in the form of a list, if there is no target result in the returned result, then a search is performed from the other secondary thesaurus corresponding to the keyword.
Through the steps S301 to S303, compared with searching the corresponding secondary lexicon according to the keyword, in the embodiment, the corresponding secondary lexicon is searched by combining the history of the user and the keyword, so that the searched result is more suitable for the viewing habit of the user, the voice search efficiency is improved, and the personalized matching degree of the voice search can be improved.
In some embodiments, a corresponding primary lexicon is searched according to the keyword, and a corresponding secondary lexicon is searched for the searched primary lexicon; and comparing the weight values of the searched secondary lexicons according to the user state information, searching the secondary lexicon with the maximum weight value, and searching the application program corresponding to the secondary lexicon with the maximum weight value according to the application program use times and use duration in the application program state information. For example, if the keyword "hayma" is found to belong to both a video resource thesaurus and a music resource thesaurus, a prompt message is generated to inquire the user, after feedback information that the target result belongs to the video resource thesaurus is received, the weight values of the secondary thesaurus under the primary thesaurus of the video resource are compared, the maximum weight value of the martian is compared, the prompt message is generated to inquire the user, after the confirmed feedback information is received, the application program which has the largest use times and use duration and plays the "hayma" is returned, and the user can watch the "hayma" by clicking the application program. The secondary word stock is searched, so that the search range can be reduced, prompt information is generated to inquire the user, and the search result can be more accurate.
In some embodiments, the corresponding first related primary lexicon is searched according to the keyword, the corresponding first related secondary lexicon is searched according to the first related primary lexicon, the first related secondary lexicon is searched, the search result is fed back to the user, and if the target result is not in the search result, the second related primary lexicon is searched. And if the target result is not in the search result, searching the result from the second related level word bank, wherein all level word banks under the first related level word bank have no target result, and searching the second related level word bank.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.
The present embodiment further provides a system for searching a word bank by using voice, which is used to implement the foregoing embodiments and preferred embodiments, and the description of the system is omitted here. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram of a system for searching a thesaurus by speech according to an embodiment of the present application, and as shown in fig. 4, the system includes a thesaurus classification module 41, a speech input module 42, a speech recognition module 43, and a thesaurus searching module 44:
the word bank classifying module 41 is configured to classify a system word bank, where the system word bank includes an application program word bank in each application program, the application program word bank is a primary word bank, the same category under the primary word bank is classified into a secondary word bank, the voice input module 42 is configured to obtain voice information of a user, the voice recognition module 43 is configured to convert the voice information into text information, extract a keyword of the text information, search for the secondary word bank corresponding to the keyword, and the word bank searching module 44 is configured to search the secondary word bank, and return the search result. In this embodiment, the system lexicon is classified by the lexicon classification module 41, so that the range of the voice search is narrowed, the voice input module 42 obtains the voice information of the user, the voice recognition module 43 converts the voice information into text information, extracts the keywords of the text information, finds the secondary lexicon corresponding to the keywords, and the lexicon search module 44 searches the found secondary lexicon and returns the search result, thereby solving the problem that the efficiency of the voice search is lower and lower due to continuous expansion of the system lexicon, and improving the efficiency of the voice search.
In some embodiments, after extracting the keywords of the text message, a secondary lexicon more conforming to the user preference can be found according to the keywords and the history of the user, fig. 5 is a block diagram of a system for searching the lexicon by speech according to another embodiment of the present application, and as shown in fig. 5, the system further includes a statistical analysis module 51 and a user status module 52:
the word bank searching module 44 is configured to search the corresponding secondary word bank according to the user state information and the keywords, and return a search result. In this embodiment, the statistical analysis module 51 generates a weight value and application state information by counting the weight of the secondary thesaurus and the user history within a preset time, the user state module 52 generates user state information according to the application state information and the weight value, the statistical analysis module 51 counts data and continuously updates the user state information, the thesaurus search module 44 searches the corresponding secondary thesaurus according to the user state information and the keyword, and returns a search result, so that not only is the search range reduced, but also the problem of low voice search efficiency is solved, and the secondary thesaurus most conforming to the user habit is searched according to the history of the user and the keyword, so as to satisfy the personalized search of the user.
In some embodiments, the statistical analysis module 51 may be further configured to monitor the currently working application program, monitor that the currently working application program is "love art", and when the frequency of watching swordsmen with the application program is the highest, if a plurality of secondary lexicons including swordsmen are found according to the voice information of the user, preferentially determine that the swordsmen secondary lexicon is the most relevant secondary lexicon.
It should be understood by those skilled in the art that various features of the above-described embodiments can be combined in any combination, and for the sake of brevity, all possible combinations of features in the above-described embodiments are not described in detail, but rather, all combinations of features which are not inconsistent with each other should be construed as being within the scope of the present disclosure.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for searching a lexicon by voice, the method comprising:
classifying a system word stock, wherein the system word stock comprises an application program word stock in each application program, the application program word stock is a primary word stock, the same categories under the primary word stock are classified, and each category is a secondary word stock;
acquiring voice information of a user, converting the voice information into text information, and extracting keywords of the text information;
and searching the secondary word bank corresponding to the keyword, searching the secondary word bank, and returning the search result.
2. The method of claim 1, wherein after extracting the keywords of the text message, the method further comprises:
counting the weight of the secondary lexicon within a preset time to generate a weighted value, and counting a user history record within the preset time to generate application program state information;
generating user state information according to the application program state information and the weight value;
and searching the corresponding secondary word bank according to the user state information and the keywords, and returning a search result.
3. The method of claim 2, wherein searching the corresponding secondary thesaurus according to the user status information and the keyword comprises:
searching the corresponding primary lexicon according to the keyword, and searching the corresponding secondary lexicon for the searched primary lexicon;
and comparing the weight values of the searched secondary word banks according to the user state information, searching the secondary word bank with the maximum weight value, and searching the application program corresponding to the secondary word bank with the maximum weight value according to the application program using times and using duration in the application program state information.
4. The method of claim 1, wherein said searching the secondary lexicon corresponding to the keyword comprises:
and searching a corresponding first related primary word bank according to the keyword, searching a corresponding first related secondary word bank according to the first related primary word bank, searching the first related secondary word bank, feeding back a search result to the user, and searching a second related primary word bank if a target result is not in the search result.
5. The system for searching the word stock through the voice is characterized by comprising a word stock classification module, a voice input module, a voice recognition module and a word stock searching module:
the word stock classification module is used for classifying a system word stock, wherein the system word stock comprises application program word stocks in all application programs, the application program word stock is a primary word stock and classifies the same categories under the primary word stock, and each category is a secondary word stock;
the voice input module is used for acquiring voice information of a user;
the voice recognition module is used for converting the voice information into text information, extracting keywords of the text information and searching the secondary lexicon corresponding to the keywords;
and the word bank searching module is used for searching the secondary word bank and returning the searching result.
6. The system of claim 5, wherein after extracting the keywords of the text message, the system further comprises a statistical analysis module and a user status module,
the statistical analysis module is used for counting the weight of the secondary lexicon within a preset time to generate a weight value, and counting the user history record within the preset time to generate application program state information;
the user state module is used for generating user state information according to the application program state information and the weight value;
and the word bank searching module searches the corresponding secondary word bank according to the user state information and the keywords and returns a searching result.
7. The system of claim 6, wherein searching the corresponding secondary thesaurus according to the user status information and the keyword comprises:
the voice recognition module searches the corresponding primary lexicon according to the keyword, and searches the corresponding secondary lexicon for the searched primary lexicon;
and comparing the weight values of the searched secondary word banks according to the user state information, searching the secondary word bank with the maximum weight value, and searching the application program corresponding to the secondary word bank with the maximum weight value according to the application program using times and using duration in the application program state information.
8. The system of claim 5, wherein said searching the secondary lexicon corresponding to the keyword comprises:
the voice recognition module searches a corresponding first related primary word bank according to the key words, and then searches a corresponding first related secondary word bank according to the first related primary word bank,
and the word stock searching module searches the first related secondary word stock, feeds back a search result to the user, and searches a second related primary word stock if a target result is not in the search result.
9. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and the processor is configured to execute the computer program to perform the method of searching a thesaurus by speech according to any one of claims 1 to 4.
10. A storage medium in which a computer program is stored, wherein the computer program is configured to perform the method of searching a thesaurus by speech according to any one of claims 1 to 4 when executed.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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