JP2020064643A - Document generation device, document generation method, and program for document generation device - Google Patents

Abstract

To provide a document generation device for facilitating inputting by a user.SOLUTION: A document generation device comprises: a document generation part 22f that generates a document in accordance with analysis result of text data converted from a signal of voice uttered by a speaker; a keyword extraction part 22e that extracts a keyword from the text data in accordance with the analysis result; an additional information generation part 22g that generates additional information to be added to the document on the basis of at least one of the document and the keyword; and a message generation part 23 that generates a message in accordance with the document and the additional information.SELECTED DRAWING: Figure 7

Description

  The present application belongs to the technical field of a document generation device, a document generation method, and a program for a document generation device.

  Devices have been developed for sending emails while driving a vehicle, which is an example of a mobile body. For example, in Japanese Patent Application Laid-Open No. 2004-242242, the mail fixed texts received from a mobile communication terminal are stored in the mail fixed text storage unit, and the mail fixed texts stored in the mail fixed text storage unit in response to a mail transmission request. The in-vehicle terminal that selects one of the following and sends it to the mobile communication terminal, and sends the generated email fixed phrase to the in-vehicle terminal, receives the email fixed phrase sent from the in-vehicle terminal, and receives this email. A mail transmission system using a mobile communication terminal that generates a transmission mail by a mail transmission unit based on a fixed phrase and transmits it to a mail server is disclosed.

JP, 2006-33377, A

  However, in the technique described in Patent Document 1 described above, it is necessary to press the button to select the outgoing mail during driving, and it cannot be said that the user can easily input the mail. In addition, it was necessary to select information related to the content to be sent, search for it, and input it.

  Therefore, the present application has been made in view of the above problems, and an example of the problem is to provide a document generation device or the like that is easy for a user to input.

  In order to solve the above-mentioned problems, the invention according to claim 1 provides a document generation unit that generates a document according to a result of analyzing text data converted from a voice signal uttered by a speaker, and a result of the analysis. According to the above, an extraction unit that extracts a keyword from the text data, an additional information generation unit that generates additional information to be added to the document based on at least one of the document and the keyword, the document and the additional information. And a message generator that generates a message in response to the message.

  In the invention according to claim 6, a document generating step of generating a document according to a result of analyzing text data converted from a voice signal uttered by a speaker, and the document generating step according to the analyzed result, An extraction step of extracting a keyword from the text data, an additional information generation step of generating additional information to be added to the document based on at least one of the document and the keyword, and a message according to the document and the additional information. And a message generating step for generating.

It is a block diagram showing an example of a schematic structure of a document generation device concerning an embodiment. 3 is a block diagram illustrating an example of a schematic configuration of a document generation apparatus according to an exemplary embodiment. FIG. It is a schematic diagram which shows an example of the address database built in the memory | storage part of FIG. It is a schematic diagram which shows an example of the keyword database built in the memory | storage part of FIG. It is a schematic diagram which shows an example of the additional information database built in the memory | storage part of FIG. FIG. 3 is a block diagram showing an example of functional blocks of the document generation device in FIG. 2. FIG. 7 is a block diagram showing an example of functional blocks of a sentence analysis unit in FIG. 6. 6 is a flowchart illustrating an example of operation of the document generation apparatus according to the exemplary embodiment. It is a schematic diagram which shows the content which the speaker uttered, and an example of the produced message. 9 is a flowchart showing an example of a subroutine of analysis of the morphological analysis result of FIG. 8. 9 is a flowchart showing an example of a message generation subroutine in FIG. 8. It is a schematic diagram which shows the content which the speaker uttered, and an example of the produced message. It is a schematic diagram which shows the content which the speaker uttered, and an example of the produced message. It is a schematic diagram which shows the content which the speaker uttered, and an example of the produced message.

  A mode for carrying out the present application will be described with reference to FIG. 1. FIG. 1 is a block diagram showing an example of the schematic configuration of the document generation apparatus according to the embodiment.

  As shown in FIG. 1, the document generation device 10 includes a document generation unit 10a, an extraction unit 10b, an additional information generation unit 10c, and a message generation unit 10d that generates a message according to a document and additional information. It is equipped with.

  In this configuration, the document generation unit 10a generates a document according to the result of analyzing the text data converted from the voice signal uttered by the speaker.

  Here, as an example of a speaker, a user of a moving body such as a vehicle, a motorcycle, an aircraft, or a ship can be cited.

  Also, as an example of a conversion process from a voice signal to text data, there is a voice recognition process that extracts the content of the conversation as character data.As an example of the recognition technique, a statistical method, a dynamic time warping method, a hidden Markov model etc. are mentioned.

  In addition, as an example of analysis of text data, there is a technique of natural language processing such as morphological analysis. As an example of the result of analyzing the text data, the result of decomposing the document into a morpheme (which may be a word or a phrase), which is the minimum unit having a meaning in the language by morpheme analysis, the result of determining the part of speech of the morpheme, etc. Can be mentioned.

  Further, as an example of the document, there are the keyword “delay”, the fixed phrase “delay” for the keyword “late”, the keyword “current position”, and the fixed phrase “pass here now” for the keyword “now”.

  In this configuration, the extraction unit 10b extracts a keyword from the text data according to the analyzed result.

  Here, as an example of extracting a keyword from text data according to the analysis result, extraction of a keyword (an example of an output keyword) meaning “transmission”, “send”, “contact”, etc., and “display” , Extraction of keywords (an example of output keywords) that means display such as "Show me", extraction of keywords that indicate destinations of mail such as personal names and company names, and output destinations such as "Display" display destinations. Examples include extraction of keywords such as "delayed" and "delayed" for extracting the fixed phrase "I will be late", and extraction of keywords for obtaining additional information.

  The additional information generation unit 10c generates additional information to be added to the document based on at least one of the document and the keyword.

  Here, as an example of the additional information, map information (latitude, longitude) for the keyword "current location", road information for the keyword "traffic jam", current location and route for the weather keywords "rain", "snow" The weather information, the arrival time information for the fixed phrase "I will be late", and the map information (latitude, longitude) for the fixed phrase "I will pass here now" etc.

  The message generator 10d generates a message according to the document and the additional information.

  Here, as an example of the message, when there is a keyword "current location", a message including a map of the current location in the document, a message including a document "map display" showing a link to the map of the current location, and a keyword "congestion" In some cases, the document includes a document "Congestion from ○○ to ○ km", and when there is the keyword "wait", the document "Please wait at the east exit of XX station".

  As described above, according to the operation of the document generation device 10 according to the embodiment, it is possible to supplement the words spoken by the speaker and generate a natural message.

[1. Configuration and Function Outline of Document Generation Device]
(1.1 Outline of Document Generator Configuration and Function)

  Next, specific examples corresponding to the above-described embodiment will be described with reference to FIGS. 2 to 5. The embodiment described below is an embodiment in which the present application is applied to a document generation device.

  FIG. 2 is a block diagram illustrating an example of a schematic configuration of the document generation apparatus according to the embodiment. FIG. 3 is a schematic diagram showing an example of an address database constructed in the storage unit. FIG. 4 is a schematic diagram showing an example of a keyword database constructed in the storage unit. FIG. 5 is a schematic diagram showing an example of the additional information database constructed in the storage unit.

  As shown in FIG. 2, the document generation apparatus 10 according to the embodiment includes an input unit 11 that receives an input from a user, a storage unit 12 that stores a program for controlling the document generation apparatus 10, and a document generation apparatus. 10, a communication unit 13 that transmits / receives data to / from the outside, a sensor unit 14 that detects a state of a moving body used by a user, an output unit 15 that outputs a processing result, and a system control unit that controls the document generation apparatus 10. 16 and an input / output interface unit 17. The system control unit 16 and the input / output interface unit 17 are connected via the system bus 18.

  The input unit 11 includes a microphone that converts a voice uttered by a speaker into an electric signal, a touch pad having a position input function, and the like. The position input function portion is configured by an element that realizes, for example, a capacitance method, a resistance film method, or the like. Then, the input unit 11 acquires, by the position input function, the position information of the surface of the input unit 11 with which the user's finger or the like contacts or approaches, in pixel units with a predetermined resolution. The input unit 11 may be a touch panel having a display function and a position input function.

  The input unit 11 receives a voice from a user and receives an input of a destination and the like from the user.

  The storage unit 12 includes, for example, a silicon disk drive or the like. The storage unit 12 stores various programs and the like for controlling the document generation device 10. Examples of various programs include an operating system and a mail transmission program. The various programs may be acquired, for example, via a network such as a wireless communication network, or may be recorded in a recording medium such as a CD (Compact Disc) or a DVD (Digital Versatile Disc) to drive the drive device. You may make it read via.

  In addition, the storage unit 12 is constructed with an address database that stores information about mail addresses, a keyword database that stores keywords and fixed phrases, and an additional information database that stores additional information to be added to a document. A dictionary database for performing morphological analysis is built in the storage unit 12. A map database is built in the storage unit 12.

  Further, in the storage unit 12, an output database that stores keywords related to output such as transmission and display is constructed. For example, keywords such as “contact”, “send”, “mail”, “display” are stored in the output database.

  As shown in FIG. 3, the address database stores mail addresses in association with personal names, company names, place names, and the like. The address is input to the address database by acquiring an address book of a smartphone or the like by communication, directly inputting the address to an in-vehicle system including the document generation device 10, or by using the communication unit 13 from the address book on the cloud of the network. Or get through.

  As shown in FIG. 4, the fixed phrase is stored in the keyword database in association with the keyword. A fixed phrase number is assigned to each fixed phrase.

  Further, in FIG. 4, in the case of a keyword in which a message accompanied by a place such as "wait" is input, a fixed sentence indicating a place word such as "*" is prepared.

  The fixed phrase input to the keyword database may be registered from an external device such as a personal computer or a smartphone.

  In addition, when morphological analysis is performed on the speech recognition result and the result is treated as a keyword, a combination of the verb stem and inflection may be treated as a keyword. For example, in the case of "delayed", the word is a combination of the stem: "delayed" and the inflection: lower one-stage utilization: "re, le, le, le, le le, lero". Also, a combination of morphemes having different parts of speech may be treated as a keyword. For example, “waiting” becomes “waiting”: independent verb, “te”: particle, connecting particle, “te”: non-self-standing verb. In addition, for example, “te” becomes “i”: independent verb, “te”: particle, connection particle.

  As shown in FIG. 5, the additional information is stored in the additional information database in association with the keyword or the fixed phrase. The additional information may be associated with each other by a combination of the keyword and the fixed phrase.

The additional information may be registered in the additional information database from an external device such as a personal computer or a smartphone. In addition, the additional information is generated using information from the sensor unit 14, time information, a map database, and the like. Further, in the additional information database, the sentence / message regarding the additional information may be dynamically registered as a fixed sentence. Further, in the additional information database, it may be statically registered beforehand as a sentence / message that handles the additional information. There may be a plurality of additional information databases depending on the type of additional information.

  The communication unit 13 connects to a network such as the Internet by wireless communication and controls the communication state with the outside.

The sensor unit 14 has a GPS (Global Positioning System) sensor, receives navigation radio waves from GPS satellites on a satellite orbit, and detects the position, altitude, and the like of a moving body in which the document generation apparatus 10 is installed. In addition, the sensor unit 14 is connected to various sensors of the moving body (for example, a sensor that captures a change in the liquid surface due to inclination, a vehicle speed pulse, an acceleration sensor and a gyro sensor), and the speed, acceleration, inclination, traveling distance of the moving body, Acquires mobile unit information such as engine speed. The sensor unit 14 is an example of a current position acquisition unit that acquires the current position.

  The output unit 15 includes a speaker that outputs a sound, a liquid crystal display element or an EL (Electro Luminescence) element that displays the generated document, and the like. When the display function of the output unit 15 is a head-up display, the output unit 15 has a projection unit and a screen unit (a windshield, a lens unit of eyeglasses, etc.) for displaying an image projected by the projection unit.

  The system control unit 16 includes, for example, a CPU (Central Processing Unit) 16a, a ROM (Read Only Memory) 16b, and a RAM (Random Access Memory) 16c. In the system control unit 16, the CPU 16a reads and executes various programs stored in the ROM 16b, the RAM 16c, and the storage unit 12. The system control unit 16 performs voice recognition, analyzes a document, generates a message, and calculates a moving route of a moving body based on information on the current position and a received destination.

  The document generation device 10 also has an internal clock (not shown).

(1.2 Functional Block of Document Generation Device)
Next, the functional blocks of the document generation device 10 will be described with reference to FIGS. 6 and 7.
FIG. 6 is a block diagram showing an example of functional blocks of the document generation apparatus 10. FIG. 7 is a block diagram showing an example of functional blocks of the document analysis unit 22.

  As shown in FIG. 6, the document generation apparatus 10 outputs the voice data acquired by the input unit 11 to a voice recognition unit 21 that converts the voice data into text data, a document analysis unit 22 that analyzes the text data, and an output unit 15. A message generation unit 23 that generates a message. The voice recognition unit 21, the document analysis unit 22, and the message generation unit 23 are realized by the system control unit 16.

  The message generation unit 23 (an example of the message generation unit 10d) creates a fixed sentence according to the analysis result of the document analysis unit 22. The message generation unit 23 adds a morphologically analyzed text or adds a fixed phrase including additional information to the selected fixed phrase.

  The document analysis unit 22 performs morphological analysis on text data with reference to a dictionary database, and performs address analysis, keyword analysis for selecting a fixed sentence, analysis for additional information, etc. on the analysis result. The document analysis unit 22 is an example of the document generation unit 10a, the extraction unit 10b, and the additional information generation unit 10c.

  As shown in FIG. 7, the document analysis unit 22 includes a morpheme analysis unit 22a, an output keyword extraction unit 22b, an output destination extraction unit 22c, an output determination unit 22d, a keyword extraction unit 22e, and a document generation unit 22f. , And an additional information generation unit 22g. The keyword extracting unit 22e, the document generating unit 22f, and the additional information generating unit 22g form an analyzing unit 25.

  The morpheme analysis unit 22a performs morpheme analysis on the text data converted by the speech recognition unit 21, decomposes it into morphemes, and obtains a part of speech or the like.

  The output keyword extraction unit 22b (an example of the extraction unit 10b) has an output database (storage unit 12). The output keyword extraction unit 22b refers to the output database and extracts words that mean output such as transmission and display from the decomposed morphemes.

  The output destination extraction unit 22c (an example of the extraction unit 10b) has an address database (storage unit 12). The output destination extraction unit 22c refers to the address database and extracts a person's name, a company name, a place name, etc. from the decomposed morphemes. Next, the output destination extraction unit 22c refers to the address database and extracts the mail address corresponding to the personal name, company name, place name, or the like.

  The output determination unit 22d determines whether to output the generated message based on the output keyword extraction unit 22b and the output destination extraction unit 22c. For example, the output determination unit 22d determines to output the message when the word meaning output and the mail address of the destination can be extracted.

  The analysis unit 25 has a keyword extraction unit 22e, a document generation unit 22f, an additional information generation unit 22g, a keyword database (storage unit 12), and an additional information database (storage unit 12).

  The keyword extracting unit 22e (an example of the extracting unit 10b) refers to the keyword database and extracts a keyword from the decomposed morphemes. For example, the keyword extracting unit 22e extracts a keyword corresponding to a fixed phrase. The keyword extracting unit 22e may also refer to the additional information database to extract keywords from the decomposed morphemes. For example, the keyword extracting unit 22e extracts a keyword corresponding to the additional information.

  The document generation unit 22f (an example of the document generation unit 10a) refers to the keyword database, extracts a fixed phrase corresponding to the keyword extracted by the keyword extraction unit 22e, and generates a document. The document generation unit 22f may generate a document by combining morphemes from the decomposed morphemes.

  The additional information generation unit 22g (an example of the additional information generation unit 10c) refers to the additional information database, extracts the additional information corresponding to the keyword extracted by the keyword extraction unit 22e, and generates the additional information. Further, the additional information generation unit 22g extracts the additional information corresponding to the document generated by the document generation unit 22f and generates the additional information. Further, the additional information generation unit 22g adds the current position as additional information or calculates the arrival time and adds the arrival time as additional information based on the sensor unit 14.

  The message generator 23 generates a message based on the result of the output destination extractor 22c, the result of the document generator 22f, and the result of the additional information generator 22g.

  The output unit 15 outputs the message generated by the message generation unit 23 to the output destination based on the determination result of the output determination unit 22d.

[2. Operation of Document Generation Device]
(2.1 Operation Example of Document Generation Device)
The operation of the document generation apparatus according to the embodiment will be described with reference to FIGS. 8 to 14.

  FIG. 8 is a flowchart showing an example of the operation of the document generation device 10 according to the embodiment. FIG. 9 is a schematic diagram showing an example of the contents uttered by the speaker and the generated message. FIG. 10 is a flowchart showing an example of a subroutine for analyzing the morphological analysis result of FIG. FIG. 11 is a flowchart showing an example of the message generation subroutine of FIG. FIG. 12 to FIG. 14 are schematic diagrams showing an example of the content spoken by the speaker and the generated message.

  As shown in FIG. 8, the document generation device 10 receives a voice input (step S1). Specifically, the input unit 11 receives the voice spoken by the user (speaker) using the moving body.

  The document generation device 10 may receive the input of the destination, acquire the current location from the sensor unit 14, and obtain the route to the destination.

  Next, the document generating apparatus 10 converts the voice signal into text data by voice recognition (step S2). Specifically, the system control unit 16 (voice recognition unit 21) converts the voice signal into text data. As shown in FIG. 9, the system control unit 16 obtains a voice recognition result: "Contact Tanaka about his current location".

  Next, the document generation device 10 performs morphological analysis on the text data (step S3). Specifically, the system control unit 16 (morpheme analysis unit 22a) performs morpheme analysis on the text data and decomposes it into morphemes. As shown in FIG. 9, the system control unit 16 determines, as a result of the morphological analysis, "Tanaka", "to", "current location", "to", "contact", "shi", "toi", and "te". Find each morpheme such as.

  Next, the document generation device 10 analyzes the morphological analysis result (step S4). Specifically, the system control unit 16 (the output keyword extraction unit 22b, the output destination extraction unit 22c, the output determination unit 22d, the analysis unit 25) analyzes the morpheme analysis result of the morpheme analysis unit 22a. The analysis of the result of morpheme analysis will be described in detail in the subroutine of analysis of the result of morpheme analysis.

  Next, the document generation device 10 determines whether to generate a message (step S5). Specifically, the system control unit 16 determines whether or not to generate a message, based on the message generation flag as a return of the subroutine for analyzing the morphological analysis result.

  In this way, the document generation apparatus 10 functions as an example of an output determination unit that determines whether to output the message based on the analyzed result.

  When generating a message (step S5; YES), the document generation device 10 generates a message (step S6). Specifically, the system control unit 16 (message generation unit 23) sets the mail address to "tanaka @ ... c.ne.jp" as shown in FIG. The content of the mail (an example of a message) is generated by adding a document "Display a map" linking to the map information indicating the current location to "(an example of a document)" as additional information. Note that, as the additional information, only the map may be displayed under the document "I am passing through now."

  In this way, the document generation device 10 functions as an example of a message generation unit that generates a message according to the document and the additional information.

  Next, the document generation device 10 outputs a message (step S7). Specifically, the output unit 15 transmits the generated message via the communication unit 13 based on the mail address. The output unit 15 may display the generated message on the display of the document generation device 10.

  In this way, the document generation apparatus 10 functions as an example of an output unit that outputs the message to the output destination based on the determination result of the output determination unit.

  When the message is not generated (step S5; NO), the document generation device 10 ends the process.

(2.2 Subroutine of analysis of morphological analysis result)
Next, a subroutine for analyzing the morphological analysis result will be described with reference to FIG.

  As shown in FIG. 10, the document generation device 10 acquires the morphological analysis result (step S10). Specifically, the system control unit 16 (document analysis unit 22) acquires the processing result of step S3.

  Next, the document generation apparatus 10 determines whether or not there is a keyword meaning transmission (step S11). Specifically, the system control unit 16 (output keyword extraction unit 22b) refers to the output database of the storage unit 12 and sends "contact", "send", "mail", etc. in the decomposed morphemes. The word meaning "." Is extracted, and if extracted, it is determined that the keyword meaning "transmit" exists. In the case of the example in FIG. 9, since there is a morpheme of “contact”, the system control unit 16 determines that there is a keyword meaning transmission.

  As described above, the document generation device 10 functions as an example of an extraction unit that extracts a keyword from the text data according to the analysis result. The document generation apparatus 10 also functions as an example of an output determination unit that determines whether or not to output the message based on the result of the analysis.

  When the keyword indicating transmission is present (step S11; YES), the document generation apparatus 10 determines whether or not the output destination name information is present (step S12). Specifically, the system control unit 16 (output destination extraction unit 22c) refers to the address database (an example of the output destination database) of the storage unit 12 and sets the “name” of the address database in the decomposed morpheme. It is determined whether the corresponding information exists. In the case of the example in FIG. 9, since there is a morpheme “Tanaka”, the system control unit 16 determines that the output destination name information exists.

  As described above, the document generation apparatus 10 functions as an example of an output destination extraction unit that extracts the output destination from the output destination database in which the output destination of the message is registered, according to the analyzed result.

  As described above, the document generation device 10 functions as an example of an extraction unit that extracts a keyword from the text data according to the analysis result. The document generation apparatus 10 also functions as an example of an output determination unit that determines whether or not to output the message based on the result of the analysis.

  When the name information of the output destination exists (step S12; YES), the document generation apparatus 10 determines whether the matching keyword exists (step S13). Specifically, the system control unit 16 (keyword extraction unit 22e) refers to the keyword database of the storage unit 12 and determines whether or not the decomposed morphemes include morphemes that match the keywords of the keyword database. To do. In the case of the example in FIG. 9, since there is a morpheme “current location”, the system control unit 16 determines that a matching keyword exists.

  As described above, the document generation device 10 functions as an example of an extraction unit that extracts a keyword from the text data according to the analysis result. The document generation apparatus 10 also functions as an example of an output determination unit that determines whether or not to output the message based on the result of the analysis.

  When there is no keyword that means transmission (step S11; NO), when the name information of the output destination does not exist (step S12; NO), or when there is no matching keyword (step S13; NO), document generation The device 10 sets a message non-generation flag (step S14). Specifically, the system control unit 16 sets an area of a flag for message generation in the RAM 16c and sets the flag to "0".

  When there is a matching keyword (step S13; YES), the document generating apparatus 10 acquires address information and fixed phrase information (step S15). Specifically, the system control unit 16 (output destination extraction unit 22c) refers to the address database of the storage unit 12 and acquires a mail address as address information. In the case of the example in FIG. 9, the system control unit 16 acquires the mail address information “tanaka @ ... c.ne.jp” from the address database based on the name information “Tanaka”. Further, the system control unit 16 (keyword extraction unit 22e) refers to the keyword database of the storage unit 12 to acquire the fixed phrase information. In the case of the example in FIG. 9, the system control unit 16 acquires the fixed phrase “now passing here” from the keyword base based on the keyword “current position” and generates a document.

  As described above, the document generation device 10 functions as an example of a document generation unit that generates a document in accordance with the result of analyzing the text data converted from the voice signal uttered by the speaker.

  Next, the document generating apparatus 10 determines whether or not there is a keyword or the like for additional information (step S16). Specifically, the system control unit 16 (additional information generation unit 22g) refers to the additional information database of the storage unit 12, and refers to the keyword for additional information or the fixed form corresponding to the fixed form sentence acquired in step S15. It is determined whether the statement number exists.

  As described above, the document generation device 10 functions as an example of an extraction unit that extracts a keyword from the text data according to the analysis result.

  When there is a keyword or the like for the additional information (step S16; YES), the document generating apparatus 10 acquires the additional information and the fixed phrase information for the additional information (step S17). The system control unit 16 (additional information generation unit 22g) refers to the additional information database of the storage unit 12 and acquires the additional information corresponding to the keyword for the additional information and the additional information corresponding to the fixed phrase number. In the case of the example in FIG. 9, the system control unit 16 acquires the item of map information as additional information from the additional information database based on the number of the fixed phrase corresponding to “current location”. Further, the system control unit 16 acquires fixed phrase information (“display of map”) corresponding to the additional information “map information”. The system control unit 16 sets a flag indicating that there is additional information.

  As described above, the document generation device 10 functions as an example of the additional information generation unit that generates additional information to be added to the document based on at least one of the document and the keyword. In addition, the document generation device 10 is an additional information generation unit that acquires the information related to the current location and generates the additional information including the information related to the current location based on at least one of the document and the keyword. It serves as an example.

  Next, the document generation device 10 sets a message generation flag (step S18). Specifically, the system control unit 16 sets a flag generation area for message generation in the RAM 16c and sets the flag to "1".

  If there is no keyword or the like for additional information (step S16; NO), the message generation flag is set (step S18). Then, the system control unit 16 sets a flag indicating that there is no additional information.

  When the subroutine ends, the value of the flag is held and the document generating apparatus 10 performs the process of step S5.

(2.3 Message Generation Subroutine)
Next, a message generation subroutine will be described with reference to FIG.

  As shown in FIG. 11, the document generating apparatus 10 sets the acquired address information (step S20). Specifically, the system control unit 16 sets the mail address of the mail software.

  Next, the document generation device 10 acquires a phrase other than the keyword and the additional information (step S21). For example, in the case of the example in FIG. 9, the system control unit 16 (message generation unit 23) acquires a morpheme other than the keyword “Tanaka”, the output keyword “contact”, and the keyword “current location”. Then, the system control unit 16 extracts a morpheme that can be used for the message. In the case of the example in FIG. 9, there may be no words that can be used in the message except for these keywords.

  Next, the document generation device 10 generates a basic message from a phrase other than the keyword and the additional information-related phrase and a fixed phrase (step S22). For example, in the case of the example in FIG. 9, the system control unit 16 (message generation unit 23 ) Produces the basic message "You are passing through now".

  Next, the document generation apparatus 10 determines whether or not to acquire additional information and the like (step S23). Specifically, the system control unit 16 (message generation unit 23) determines to acquire the additional information and the like when the flag indicating that the additional information is present is set in step S16 but the flag is set.

  When it is determined to acquire the additional information and the like (step S23; YES), the document generation apparatus 10 adds the additional information and the like to the basic message (step S24). Specifically, the system control unit 16 (message generation unit 23) adds the document “additional information related“ map display ”” and the map information (latitude, longitude) to the basic message to generate a message. .

  When it is not determined to acquire the additional information and the like (step S23; NO), the document generating apparatus 10 proceeds to step S7 without adding the additional information. For example, as shown in FIG. 12, when the voice recognition result is “Tanaka will send mail 10 minutes behind”, there is no keyword corresponding to the additional information. Note that "mail" is an output keyword, "delay" is a keyword related to a fixed phrase, "Tanaka" is name information, and "10" and "minute" are examples of phrases other than the additional information.

  Next, another voice recognition result will be described with reference to FIGS. 13 and 14.

  As shown in FIG. 13, "mail" is a keyword meaning transmission, "Tanaka" is a keyword for the name information of the output destination, "delay" is a keyword for extracting a fixed phrase, "traffic jam" Is a keyword for additional information.

  In step S17, the document generation device 10 acquires the current position from the sensor unit 14 from the keyword “congestion” for additional information, and acquires the congestion information via the communication unit 13 based on the route information to the destination. To do. Then, the document generation device 10 generates a document of the fixed phrase “7 circles from XX to 2 km traffic jam” for additional information based on the traffic jam information and the current location information. Here, “XX” is the current position.

  The document generation device 10 generates a message having mail content as shown in FIG.

  In this way, the document generation device 10 functions as an example of the additional information generation unit that generates the additional information including information about the current location to the destination.

  As shown in FIG. 14, "transmission" is a keyword meaning transmission, "Tanaka" is a keyword for name information of an output destination, "waiting" is a keyword for extracting a fixed phrase, "Station" and "wait" are keywords for additional information.

  In step S17, the document generation apparatus 10 acquires map information near the station from the keyword for additional information.

  The document generation device 10 generates a message having mail content as shown in FIG.

  As described above, according to the operation according to the embodiment, the words spoken by the speaker can be complemented with the additional information to generate a natural message. In addition, a speaker can easily create a document.

  Further, when the current location is acquired, the information related to the current location is acquired, and the additional information including the information related to the current location is generated based on at least one of the document and the keyword, by adding the information about the current location, , Complementary information to be transmitted to the other party and can transmit accurate information.

  When generating additional information that includes information from the current location to the destination, for example, congestion information, arrival time, and weather information can be obtained and added to the message as information regarding the current location to the destination (on the route). , It becomes easy for a speaker to create a document without having to search for traffic information and weather information.

  In addition, when the output destination is extracted from the output destination database (for example, address database) in which the output destination of the message is registered, the output destination does not need to be input, and the operation of the speaker does not have to be performed. It will be easier.

  Based on the result of the analysis, it is determined whether or not to output the message, and when the message is output to the output destination based on the determination result, it is not necessary to input the output destination, and the speaker's operation becomes easy.

Reference numeral 10: Document generation device 10a: Document generation unit 10b: Extraction unit 10c: Additional information generation unit 10d: Message generation unit 11: Input unit 14: Sensor unit 15: Output unit 16: System control unit (document generation unit, extraction unit, Additional information generator, message generator)
21: Speech recognition unit
22: Document analysis unit 22a: Morphological analysis unit 22b: Output keyword extraction unit 22c: Output destination extraction unit 22e: Keyword extraction unit 22f: Document generation unit 22g: Additional information generation unit 23: Message generation unit

Claims (1)

A first acquisition unit for acquiring text data in which a voice uttered by a speaker is converted by voice recognition;
An extraction unit that extracts a keyword from the text data,
A second acquisition unit for acquiring fixed phrase information corresponding to the keyword;
An additional information generating unit that generates additional information corresponding to at least one of the fixed phrase information and the keyword from an additional information database storing additional information;
A message generation unit that generates a message based on the fixed phrase information and the additional information;
A document generation apparatus comprising:

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