JP5259521B2 - Portable electronic devices - Google Patents

Description

  The present invention relates to a portable electronic device having a voice recognition dictionary.

  2. Description of the Related Art Conventionally, electronic devices such as mobile phones and navigation devices have a function for executing predetermined processing by voice recognition. For example, a user of an electronic device can give an instruction such as calling a mail function or selecting from an address book by voice without performing a selection operation.

  Such an electronic device includes a recognition dictionary that is collated with the result of speech recognition. However, there may be situations where the recognition dictionary has to be changed. Patent Document 1 describes a recognition dictionary update process in a distributed processing type voice recognition server used for realizing a voice recognition service for a portable electronic device. In particular, a plurality of voice recognition processes are described. It has been proposed to improve the efficiency of updating the recognition dictionary in the case of holding a part.

JP 2008-15209 A

  As described in Patent Document 1, updating the recognition dictionary requires a large processing load. On the other hand, the function block itself of the voice recognition process has been made compact and is being mounted on the portable electronic device itself. Of course, since the portable electronic device has a lower processing capacity than the server, even if the recognition dictionary is slightly updated, if the update process occurs, the process takes a long time. As a result, there arises a disadvantage that the response to the user's operation is delayed.

  An object of this invention is to provide the portable electronic device which can update a recognition dictionary without making a user conscious.

  A portable electronic device according to the present invention includes a reading-kana storage unit that stores reading-kana correspondence data in which a predetermined process and an editable reading-kana are associated with each other, and a reading-kana option that is collated with a result of speech recognition A recognition dictionary storage unit for storing a recognition dictionary in association with the reading kana correspondence data, an execution unit for executing the predetermined processing corresponding to the reading kana collated with the speech recognition result, and the reading kana correspondence data; An update data storage unit that stores update data indicating a difference in reading kana from the recognition dictionary, and when the reading kana corresponding data is updated, update data indicating the content of the update is stored in the update data storage unit And an update unit that updates the recognition dictionary based on the update data at a predetermined timing after the update.

  Moreover, it is preferable that the said update part updates the said recognition dictionary based on the said update data, when applications other than the application permitted beforehand are not performed as the said predetermined timing.

  Moreover, it is preferable that the said update part updates the said recognition dictionary based on the said update data, when there is no operation input for a predetermined time as the said predetermined timing.

  The reading kana storage unit stores, as the reading kana correspondence data, an address book in which a communication partner and a reading kana of the communication partner are associated, and the execution unit performs the verification as the predetermined process. It is preferable to select a communication partner for the read-ahead kana from the address book.

  Further, it is preferable that the update unit interrupts the update when a predetermined event occurs during the update of the recognition dictionary.

  In addition, when the execution of the speech recognition is instructed, the update unit updates the unexecuted update before executing the speech recognition when there is the update data that has not been updated to the recognition dictionary. Preferably it is done.

  The update unit preferably stores update data in the update data storage unit and data indicating that the recognition dictionary needs to be updated.

  According to the present invention, the recognition dictionary can be updated without making the user aware of it.

1 is an external perspective view of a mobile phone according to an embodiment of the present invention. It is a block diagram which shows the function of the mobile telephone which concerns on embodiment of this invention. It is a schematic diagram which shows the update method of the recognition dictionary data accompanying the edit of the address book which concerns on embodiment of this invention. It is a figure which shows the update content of update data and recognition dictionary data accompanying the addition of the address book data which concerns on embodiment of this invention. It is a figure which shows the update content of update data and recognition dictionary data accompanying deletion of the address book data which concerns on embodiment of this invention. It is a figure which shows the update content of update data and recognition dictionary data accompanying the change of the address book data which concerns on embodiment of this invention. It is a flowchart which shows the update process of the recognition dictionary data which concerns on embodiment of this invention. It is a sequence diagram which shows the flow at the time of the update of the recognition dictionary data which concern on embodiment of this invention. It is a sequence diagram which shows the flow when an interruption process generate | occur | produces at the time of the update of the recognition dictionary data based on embodiment of this invention. It is a sequence diagram which shows the flow of the update of recognition dictionary data performed at the time of the speech recognition process starting based on embodiment of this invention.

  Hereinafter, an example of a preferred embodiment of the present invention will be described. In the present embodiment, a mobile phone 1 will be described as an example of a mobile electronic device. The portable electronic device of the present invention is not limited to this, and can be applied to various portable electronic devices such as PHS, PDA (Personal Digital Assistant), game machine, navigation device, personal computer, and the like.

  FIG. 1 is an external perspective view of a mobile phone 1 (mobile electronic device) according to the present embodiment. FIG. 1 shows a so-called foldable mobile phone, but the mobile phone according to the present invention is not limited to this. For example, a sliding type in which one casing is slid in one direction from a state in which both casings are overlapped, or a rotary type in which one casing is rotated around an axis along the overlapping direction ( Turn type), or a type (straight type) in which the operation unit and the display unit are arranged in one housing and does not have a connecting unit.

  The mobile phone 1 includes an operation unit side body 2 and a display unit side body 3. The operation unit side body 2 includes an operation unit 11 on the front surface unit 10 and a microphone 12 to which a voice uttered by a user of the mobile phone 1 during a call or when using a voice recognition application is input. The The operation unit 11 includes a function setting operation button 13 for activating various functions such as various setting functions, a telephone book function, and a mail function, and an input operation button 14 for inputting numbers of telephone numbers, mail characters, and the like. , And a determination operation button 15 for performing determination and scrolling in various operations.

  The display unit side body 3 includes a display unit 21 for displaying various types of information on the surface unit 20 and a receiver 22 for outputting the voice of the other party of the call.

  Further, the upper end portion of the operation unit side body 2 and the lower end portion of the display unit side body 3 are connected via a hinge mechanism 4. In addition, the mobile phone 1 relatively rotates the operation unit side body 2 and the display unit side body 3 which are connected via the hinge mechanism 4, so that the operation unit side body 2 and the display unit side body 3 are rotated. The body 3 can be in an open state (open state), or the operation unit side body 2 and the display unit side body 3 can be folded (folded state).

  FIG. 2 is a block diagram showing functions of the mobile phone 1 according to the present embodiment. The mobile phone 1 includes an operation unit 11, a display unit 21, a control unit 30, a voice recognition processing unit 40, a storage unit 50, a communication unit 60, and a voice unit 70. Furthermore, the voice recognition processing unit 40 includes an execution unit 41 and an update unit 42. The storage unit 50 includes an address book DB (database) 51, a recognition dictionary DB 52, and an update information DB 53.

  The control unit 30 controls the entire mobile phone 1, and performs predetermined control on the display unit 21, the communication unit 60, and the like, for example. In addition, the control unit 30 receives input from the operation unit 11 or the like and executes various processes. And the control part 30 controls the memory | storage part 50 in the case of a process execution, reads various programs and data, and writes data.

  The speech recognition processing unit 40 executes speech recognition processing by the execution unit 41 and manages a recognition dictionary by the update unit 42 based on a command from the control unit 30.

  The storage unit 50 stores various programs according to the present embodiment, and is used for arithmetic processing by the control unit 30. Further, the storage unit 50 stores address book data (reading kana correspondence data) which is related data of voice recognition by the address book DB 51, stores recognition dictionary data by the recognition dictionary DB 52, and stores address dictionary data by the update information DB 53. Update data indicating a difference from the recognition dictionary data is stored. Note that the storage unit 50 may also serve as a removable external memory.

  Here, the address book data is data including data for identifying a communication partner such as a call or mail (for example, a telephone number, a mail address, a name, etc.) and a reading pseudonym. The execution unit 41 executes a communication partner selection process (predetermined process) when the reading pseudonym is input.

  The recognition dictionary data is data including choices of reading kana to collate with text information obtained as a result of speech recognition. Each of the reading kana is associated with the address book data, and when there is the same reading kana as the result of the voice recognition in the options, the associated address book data is read out.

  The update data is data indicating a difference for matching the reading dictionary of the recognition dictionary data and the address book data, and is generated by the updating unit 42 when the reading book of the address book is changed. Therefore, when the update unit 42 applies the update data to the recognition dictionary data, the reading kana of the recognition dictionary data is updated to match the address book.

  The communication unit 60 communicates with an external device (base station) in a predetermined use frequency band (for example, 2 GHz band, 800 MHz band, etc.). The communication unit 60 demodulates the signal received from the antenna and supplies the processed signal to the control unit 30. Also, the signal supplied from the control unit 30 is modulated and transmitted to an external device via an antenna.

  The audio unit 70 performs predetermined audio processing on the signal supplied from the communication unit 60 under the control of the control unit 30, and outputs the processed signal to the receiver 22. The receiver 22 outputs the signal supplied from the audio unit 70 to the outside. This signal may be output from a speaker (not shown) instead of or together with the receiver 22. In addition, the voice unit 70 processes the signal input from the microphone 12 according to the control of the control unit 30, and outputs the processed signal to the communication unit 60. The communication unit 60 performs a predetermined process on the signal supplied from the audio unit 70 and outputs the processed signal from the antenna.

  FIG. 3 is a schematic diagram showing a method for updating recognition dictionary data associated with editing of the address book according to the present embodiment.

  When the reading name of the address book data is added, deleted, or changed by the user, it is necessary to make this change to the recognition dictionary data as well. In the case of the first pattern, the recognition dictionary data is immediately updated according to the update of the address book data. However, the waiting time is longer for the user than when only the address book update process is performed.

  On the other hand, in the case of the second pattern, the recognition dictionary data can be updated at the start of the background or voice recognition processing by interposing the recognition dictionary update data. That is, when updating the address book data, update data is generated, and the recognition dictionary data that takes time to update is executed at another predetermined timing. As a result, it is possible to reduce the waiting time when updating the address book and prevent the user from being aware of updating the recognition dictionary.

  Here, the predetermined timing refers to a case where an application other than an application permitted in advance is not executed, and a case where there is no operation input from the user for a predetermined time. The application that is permitted in advance is an application that is always executed and has a relatively small processing load, such as a radio wave state display and a time display. For example, when the mobile phone 1 enters the power saving mode, the recognition dictionary data is updated in the background of these applications.

  Update of the recognition dictionary data involves a large processing load and memory consumption. Therefore, there is a risk that the operability of the user and the smooth processing of the application may be impaired by suppressing the update during the user operation or the execution of the application ( For example, delays in screen display, interruptions in audio reproduction, and the like can be avoided.

  FIG. 4 is a diagram showing the update contents of the update data and the recognition dictionary data accompanying the addition of the address book data according to the present embodiment.

  First, from a state (a1) in which the address book ID (AID) “2” is blank (NULL), a new record is added and a reading pseudonym “Yokohama Saburo” that needs to be reflected in the recognition dictionary is registered ( a2).

  At this time, the update data is updated from the state (b1) to the state (b2). In (b1), all records are “updated”, and the record with AID “2” is “NULL”. In (b2) after the update, the reading pseudonym “Yokohama Saburo” is registered in AID “2”, and the status of this record becomes “unupdated”.

  Thereafter, at the update timing of the recognition dictionary data, the record that is “not updated” in (b2) is read, and the recognition dictionary data is updated from the state (c1) to the state (c2). Accordingly, the update data is updated from the state (b2) to the state (b3).

  In (c1), the reading pseudonym is associated with the AID that is the identifier of the address book data, and the reading pseudonym of the record of No “2” corresponding to the AID “2” is “NULL”. In (c2), the reading pseudonym of this record is updated to “Yokohama Saburo”. Then, in response to the update of the recognition dictionary data, in (b3), the status of the record with the AID “2” that is the update target is “updated”.

  FIG. 5 is a diagram showing the update contents of the update data and the recognition dictionary data accompanying the deletion of the address book data according to the present embodiment.

  First, in the address book data, the record of AID “1” is deleted from the state (a1) where the records of AID “0” to “2” exist, and the reading kana “Yokohama Jiro” that needs to be reflected in the recognition dictionary is displayed. It is assumed that “NULL” is reached (a2).

  At this time, the update data is updated from the state (b1) to the state (b2). In (b1), all the records are in an “updated” state, and the reading of the reading “Yokohama Jiro” is stored in the record of AID “1”. In (b2) after the update, the AID “1” reading pseudonym is changed to “NULL”, and the status of this record becomes “unupdated”.

  Thereafter, at the update timing of the recognition dictionary data, the record that is “not updated” in (b2) is read, and the recognition dictionary data is updated from the state (c1) to the state (c2). Accordingly, the update data is updated from the state (b2) to the state (b3).

  In (c1), the reading pseudonym of the record of No “1” corresponding to the AID “1” is “Yokohama Jiro”. In (c2), the reading pseudonym of this record is updated to “NULL”. Then, in response to the update of the recognition dictionary data, in (b3), the status of the record with the AID “1” that is the update target is “updated”.

  FIG. 6 is a diagram showing the update contents of the update data and the recognition dictionary data accompanying the change of the address book data according to the present embodiment.

  First, in the address book data, the record of AID “0” is changed from the state (a1) where the records of AID “0” to “2” exist, and the reading “Yokohama” that needs to be reflected in the recognition dictionary is “ “Yokohama Taro” (a2).

  At this time, the update data is updated from the state (b1) to the state (b2). In (b1), all the records are in an “updated” state, and the reading of the reading “Yokohama” is stored in the record of AID “0”. In (b2) after the update, the AID “0” reading pseudonym is changed to “Yokohama Taro”, and the status of this record becomes “unupdated”.

  Thereafter, at the update timing of the recognition dictionary data, the record that is “not updated” in (b2) is read, and the recognition dictionary data is updated from the state (c1) to the state (c2). Accordingly, the update data is updated from the state (b2) to the state (b3).

  In (c1), the reading pseudonym of the record of No “0” corresponding to the AID “0” is “Yokohama”. In (c2), the reading pseudonym of this record is updated to “Yokohama Taro”. Then, in response to the update of the recognition dictionary data, in (b3), the status of the record with the AID “0” to be updated becomes “updated”.

  FIG. 7 is a flowchart showing recognition dictionary data update processing executed by the update unit 42 according to the present embodiment.

  In step S <b> 1, the update unit 42 determines whether other processing (application) other than the application permitted in advance is not operating based on the notification from the control unit 30. If this determination is YES, the update unit 42 moves the process to step S2, and if the determination is NO, the update unit 42 moves the process to step S7.

  In step S <b> 2, the update unit 42 determines whether there is no operation input for a certain period of time on the operation unit 11 based on the notification from the control unit 30. The update unit 42 moves the process to step S3 when the determination is YES, and moves the process to step S7 when the determination is NO.

  In step S3, the update unit 42 determines whether or not the recognition dictionary data needs to be updated. Specifically, the update unit 42 determines whether there is update data that needs to be applied to the update information DB 53. The update unit 42 moves the process to step S4 when the determination is YES, and moves the process to step S7 when the determination is NO.

  The update unit 42 stores update data in the update information DB 53 and stores data (flag) indicating that the recognition dictionary needs to be updated. Thus, the update unit 42 can efficiently determine whether or not the recognition dictionary data needs to be updated by referring to this flag without checking the entire update data.

  In step S4, the update unit 42 updates the recognition dictionary data in the recognition dictionary DB 52 based on the update data stored in the update information DB 53.

  In step S <b> 5, the update unit 42 determines whether or not an interrupt process due to a user operation or an alarm based on a previously registered schedule has occurred based on the notification from the control unit 30. If this determination is YES, the update unit 42 moves the process to step S6, and if the determination is NO, the update unit 42 moves the process to step S7.

  In step S6, the update unit 42 stops updating the recognition dictionary data in order to prevent the interruption process determined in step S5 from being hindered by the recognition dictionary data update process. Specifically, the data indicating the state of the update unit 42 is changed to “update cancel”, and settings are made so that subsequent update processing is not performed.

  In step S <b> 7, the update unit 42 determines whether to end the recognition dictionary data update process. Specifically, when the above state is “update cancel”, the update of the recognition dictionary data cannot be continued, so the determination is YES, and the update unit 42 ends the update process. On the other hand, if the update of the recognition dictionary data can be continued, the determination is no, and the update unit 42 moves the process to step S1.

  FIG. 8 is a sequence diagram showing a flow when updating the recognition dictionary data according to the present embodiment. Here, based on the notification from the recognition dictionary update determination process and the address book data process executed by the control unit 30, the update unit 42 updates the recognition dictionary data.

  First, it is determined whether or not the reading kana has been edited by address book data processing, and when the editing has been performed, an update notification is sent to the updating unit 42 (step S101). Then, the update unit 42 updates the update data in the update information DB 53 (step S102), and when the update is completed, changes the state to “update required” (step S103).

  After that, when the recognition dictionary update determination process receives a status notification of the mobile phone 1 regarding whether or not an application is executed and whether or not a user operation is performed (step S104), the update unit 42 can start updating the recognition dictionary. And the state is changed to “Updating” (step S105). Further, the update unit 42 notifies the control unit 30 that the update process is started.

  Next, the update unit 42 acquires update data from the update information DB 53 (step S106). When the update unit 42 completes the acquisition of the update data, the update unit 42 enters a recognition dictionary update loop, and sequentially updates the recognition dictionary data according to the update data.

  The update unit 42 determines whether or not the recognition dictionary can be updated (the state is “updating”) (step S107). If it is possible (determination is YES), the update unit 42 is based on the acquired update data. Then, one piece of recognition dictionary data is updated (step S108). On the other hand, if the update is not possible (determination is NO), the recognition dictionary update loop is exited, and the update unit 42 moves the process to step S110.

  When the update of one piece of recognition dictionary data (step S108) is completed, the update unit 42 determines whether all the updates are completed (whether there is no unprocessed update data) (step S109), and is completed ( If the determination is YES), the process exits the recognition dictionary update loop and moves the predetermined process to step S110. On the other hand, if the update has not ended (determination is NO), the process returns to step S107 to continue the update.

  After exiting the recognition dictionary update loop, the update unit 42 determines whether all updates have been completed (whether there is unprocessed update data) (step S110). When the processing is completed (determination is YES), the updating unit 42 changes the state to “updated” and notifies the control unit 30 of this state (step S111). On the other hand, if the update has not been completed (determination is NO), the update unit 42 changes the state to “update required” and suspends processing execution until the next updatable timing. 30 is notified (step S112).

  FIG. 9 is a sequence diagram showing a flow when an interrupt process occurs when the recognition dictionary data according to the present embodiment is updated. Here, a case where an interrupt process occurs during the loop of steps S107 to S109 in FIG. 8 is shown.

  Note that the interrupt processing includes activation of an application other than an application permitted in advance, reception of an operation input from a user, and the like. If these interrupt processes are executed while updating the recognition dictionary data with a large processing load, the processing capability of the mobile phone 1 is insufficient and the operation may become unstable.

  When the control unit 30 detects the occurrence of the interrupt process (step S201), the recognition dictionary update determination process determines whether the recognition dictionary data is being updated (step S202). Specifically, the control unit 30 determines whether or not the state is “updating”, and if it is “updating” (determination is YES), the control unit 30 notifies the update unit 42 that updating is not possible. On the other hand, if it is other than “Updating” (determination is NO), the control unit 30 determines that an interrupt is possible and executes interrupt processing (step S204).

  When an update impossible notification is made by the recognition dictionary update determination process, the update unit 42 changes the state to “update canceled” (step S203). In this case, it is determined in step S107 that updating is not possible (determination is NO).

  After exiting the recognition dictionary update loop, the update unit 42 determines whether all updates have been completed (whether there is unprocessed update data) (step S110). When the processing is completed (determination is YES), the updating unit 42 changes the state to “updated” and notifies the control unit 30 of this state (step S111). On the other hand, if the update has not been completed (determination is NO), the update unit 42 changes the state to “update required” and suspends processing execution until the next updatable timing. 30 is notified (step S112).

  The control unit 30 determines that the update of the recognition dictionary has been interrupted due to the notification of the “updated” or “update required” state from the update unit 42, and interrupt processing is performed (step S3). Step S204).

  FIG. 10 is a sequence diagram showing a flow of updating the recognition dictionary data performed when the speech recognition process according to the present embodiment is started. Here, a case is shown in which speech recognition processing is activated when unprocessed update data exists and the status is “update required”.

  When the activation of the voice recognition process is detected by the control unit 30 (step S301: YES), the update unit 42 determines whether or not the recognition dictionary data needs to be updated (step S302). That is, if unprocessed update data exists and the address book data and the recognition dictionary data do not match, it is determined that the recognition dictionary data needs to be updated because the voice recognition process does not operate correctly.

When the recognition dictionary data needs to be updated (step S302: YES), the recognition dictionary data is updated based on the update data in the recognition dictionary update loop of steps S105 to S109, as in FIG.
After exiting the recognition dictionary update loop, the update unit 42 determines whether all updates have been completed (whether there is unprocessed update data) (step S110). When the processing is completed (determination is YES), the updating unit 42 changes the state to “updated” and notifies the control unit 30 of this state (step S111). On the other hand, if the update has not been completed (determination is NO), the update unit 42 changes the state to “update required” and suspends processing execution until the next updatable timing. 30 is notified (step S112).

  And the control part 30 performs a speech recognition process according to a state being notified from the update part 42 (step S303). The control unit 30 can start the speech recognition process when the notified state is “updated”, but the recognition dictionary is not up-to-date when the state is “update required” (address book). Therefore, it is possible to output an error and terminate the speech recognition process.

  As described above, according to the present embodiment, the mobile phone 1 updates the recognition dictionary data at a timing that does not cause the user to wait. Furthermore, when an event occurs during the update of the recognition dictionary data, the update process is interrupted. As described above, the mobile phone 1 can update the recognition dictionary data associated with the change of the reading kana without making the user aware of it.

  If unprocessed update data remains, the recognition dictionary data is updated before the voice recognition process is executed, so that the mobile phone 1 avoids a mismatch between the address book data and the recognition dictionary data. be able to.

  As described above, in the present embodiment, the case where the update to the address book occurs has been described as an example. However, other than the address book, a user dictionary whose contents can be freely changed by the user, such as a destination dictionary for navigation, a reading kana dictionary for instructing execution of an application, a reading kana dictionary for calling instructions for data folders and mail folders, etc. For example, the present invention is applicable.

  The present invention is particularly useful when the recognition dictionary is configured separately from a user dictionary such as an address book. Specifically, a case where a processing program for functions related to speech recognition processing is unitized is assumed. In this case, the recognition dictionary is configured in a form that can be easily referred to by the speech recognition processing function unit. A case where both are packaged in a processing unit is conceivable. In this case, the recognition dictionary is placed under the management of a system different from the user dictionary. Thus, when the voice recognition processing is unitized, every time the user dictionary is updated, the voice recognition processing unit has to be activated to access the recognition dictionary. The number of activations of the speech recognition processing unit can be minimized. That is, comprehensively, it leads to power saving in portable electronic devices. Furthermore, since no modification to the voice recognition processing unit is required, it is possible to easily replace such a unit with another voice recognition processing unit, and to improve the degree of freedom in development of portable electronic devices. It also leads to things.

  As mentioned above, although embodiment of this invention was described, this invention is not restricted to embodiment mentioned above. The effects described in the embodiments of the present invention are only the most preferable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. is not.

DESCRIPTION OF SYMBOLS 1 Mobile telephone 11 Operation part 21 Display part 30 Control part 40 Voice recognition process part 41 Execution part 42 Update part 50 Storage part 51 Address book DB (reading pseudonym storage part)
52 recognition dictionary DB (recognition dictionary storage unit)
53 Update Information DB (Update Data Storage Unit)
60 Communication unit 70 Audio unit

Claims (7)

A reading kana storage unit for storing reading kana correspondence data in which predetermined processing and editable reading kana are associated;
A recognition dictionary storage unit that stores a recognition dictionary that includes choices of reading kana to be compared with the result of speech recognition in association with the reading kana correspondence data;
An execution unit that executes the predetermined process corresponding to the reading kana collated with the voice recognition result;
An update data storage unit for storing update data indicating a difference in reading kana between the reading kana correspondence data and the recognition dictionary;
When the reading correspondence data is updated, update data indicating the content of the update is stored in the update data storage unit, and the recognition dictionary is updated based on the update data at a predetermined timing after the update. A portable electronic device.   The update unit updates the recognition dictionary based on the update data when an application other than an application permitted in advance is not executed as the predetermined timing. Portable electronic devices.   The portable electronic device according to claim 1, wherein the update unit updates the recognition dictionary based on the update data when there is no operation input for a predetermined time as the predetermined timing. machine. The reading kana storage unit stores, as the reading kana correspondence data, an address book in which a communication partner and a reading kana of the communication partner are associated with each other.
4. The portable electronic device according to claim 1, wherein the execution unit selects, as the predetermined process, a communication partner for the collated reading pseudonym from the address book. 5. .   The portable electronic device according to any one of claims 1 to 4, wherein the update unit interrupts the update when a predetermined event occurs during the update of the recognition dictionary.   When the execution of the speech recognition is instructed, the update unit performs the unexecuted update before the speech recognition is performed when there is the update data that has not been updated to the recognition dictionary. The portable electronic device according to claim 1, wherein:   7. The update unit according to claim 1, wherein the update unit stores update data in the update data storage unit, and stores data indicating that the recognition dictionary needs to be updated. The portable electronic device according to Item.

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