JP2011203455A - Information terminal for vehicles, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information terminal for vehicles, and a program, in which voice information on which voice recognition is not performed, is appropriately stored in a dictionary of voice recognition based on operation after that, and voice recognition of voice information which is not recognized, is appropriately performed.SOLUTION: When it is determined that a recognition result is not obtained after recognition processing of voice information uttered by a speaker, the voice information is held as unrecognizable voice information. Based on operation performed after it is determined that the recognition result is not obtained, an estimation point on a map, which is estimated to be corresponding to the unrecognizable voice information is specified (S114). The estimation point information regarding the estimation point and the unrecognizable voice information are stored by relating them (S118). Thereby, as the unrecognizable voice information in which the recognition result is not obtained, is stored by relating it to the estimation point information regarding the estimation point which is estimated to be corresponded to the unrecognizable voice information, voice recognition of voice information which is not recognized is appropriately performed.

Description

  The present invention relates to a vehicle information terminal and a program.

  Conventionally, a voice recognition device having a voice recognition function is known. In the speech recognition processing device, if the content spoken by the speaker cannot be recognized, the speech recognition target article is identified from the line of sight and pointing action when speaking, and the identified article is associated with the word that could not be recognized In addition, a technique for registering in a dictionary related to speech recognition is disclosed (for example, see Patent Document 1).

JP 2009-223172 A

However, in Patent Document 1, a means for detecting line of sight and pointing is required. In addition, even if the speech recognition target indicated by the speech uttered by the speaker is not visible from a point where speech recognition is performed, for example, as a destination in the navigation device, even if it has means for detecting the line of sight and pointing, The speech recognition target cannot be specified.
The present invention has been made in view of the above-described problems, and an object of the present invention is to perform voice recognition by appropriately storing voice information that could not be voice recognized in a dictionary related to voice recognition based on subsequent operations. An object of the present invention is to provide a vehicle information terminal and a program capable of appropriately recognizing voice information that has not been received.

  The vehicle information terminal according to claim 1 is a voice information acquisition unit that acquires voice information uttered by a speaker, a recognition processing unit that recognizes the voice information acquired by the voice information acquisition unit, and a recognition processing unit. A recognition result judging means for judging whether or not a recognition result has been obtained, and a voice information holding means for holding voice information as unrecognizable voice information when the recognition result judging means judges that a recognition result is not obtained. , A point identifying means for identifying an estimated point on the map that is estimated to correspond to unrecognizable speech information based on an operation performed after the recognition result determining means determines that a recognition result cannot be obtained, and an estimation regarding the estimated point Storage control means for storing the location information and the unrecognizable speech information in association with each other. As a result, the unrecognizable speech information for which no recognition result has been obtained can be appropriately stored in association with the estimated point information related to the estimated point estimated to correspond to the unrecognizable speech information. Information can be appropriately recognized by voice.

  The invention according to claim 2 further comprises a new information acquisition judging means for judging whether or not the information related to the destination setting is obtained after the recognition result judging means judges that the recognition result cannot be obtained. The point specifying unit specifies the estimated point based on the information related to the destination setting when the new information acquisition determining unit determines that the information related to the destination setting is acquired. Thereby, since an estimated point is specified based on the information which concerns on the setting of the destination, the estimated point estimated to respond | correspond to unrecognizable audio | voice information can be specified more appropriately.

  In the invention according to claim 3, when it is determined by the new information acquisition determination means that the information related to the destination setting has not been acquired, the point specifying means uses the point where the vehicle ignition is turned off as the estimated point. Identify. In the invention according to claim 4, the point specifying means specifies the point where the ignition of the vehicle is turned off after the recognition result determining means determines that the recognition result is not obtained as the estimated point. As a result, it is possible to easily identify an estimated point estimated to correspond to unrecognizable voice information.

  In the invention according to claim 5, when the prior information leading to the utterance of the unrecognizable voice information is acquired, the coincidence determination means for determining whether or not the attribute information included in the estimated point information matches the prior information Is provided. The storage control unit stores the estimated point information and the unrecognizable voice information in association with each other when the attribute information and the prior information are determined to match by the match determination unit. As a result, the estimated point information and the unrecognizable voice information can be stored in association with each other with high accuracy.

As described above, the invention has been described as the invention of the vehicle information terminal. However, the invention can also be realized as an invention of the following program.
That is, voice information acquisition means for acquiring voice information uttered by a speaker, recognition processing means for recognition processing of voice information acquired by the voice information acquisition means, and whether or not a recognition result is obtained by the recognition processing means When it is determined that the recognition result cannot be obtained by the recognition result determination unit and the recognition result determination unit, the speech information holding unit that holds the speech information as unrecognizable speech information and the recognition result determination unit determines that the recognition result cannot be obtained. Based on the operation performed after the operation, the point specifying means for specifying the estimated point on the map that is estimated to correspond to the unrecognizable voice information, and the estimated point information related to the estimated point and the unrecognizable voice information are stored in association with each other. This is a program that causes a computer to function as storage control means. By executing such a program, the same effect as the above-described vehicle information terminal can be obtained.

It is a block diagram which shows the structure of the information terminal for vehicles of one Embodiment of this invention. It is explanatory drawing explaining the data memorize | stored in the recognition dictionary of one Embodiment of this invention. It is a flowchart explaining the speech recognition process of one Embodiment of this invention. It is a flowchart explaining the recognition dictionary registration process of one Embodiment of this invention.

Hereinafter, a vehicle information terminal according to the present invention will be described with reference to the drawings.
(One embodiment)
FIG. 1 is a block diagram showing an overall configuration of a navigation device 1 as a vehicle information terminal according to an embodiment of the present invention. The navigation 1 is configured around the control unit 10, and includes a position detector 20, a map data storage unit 30, a voice recognition information storage unit 40, an operation switch group 50, a voice input unit 60, connected to the control unit 10. An audio output unit 70, a drawing unit 80, and the like are provided.

The control unit 10 is configured as a normal computer. The control unit 10 includes a CPU, a ROM, an I / O, a bus line that connects these components, and the like.
The position detector 20 includes a well-known geomagnetic sensor 21, a gyroscope 22, a distance sensor 23, a GPS (Global Positioning System) receiver 24 that receives radio waves from a satellite, and the like. Since these sensors 21 to 24 have errors having different properties, they are used while complementing each other.

  The map data storage unit 30 is a storage device realized as, for example, a hard disk device (HDD). Although the HDD is used in the present embodiment, other media such as a DVD-ROM and a memory card may be used. The map data storage unit 30 stores so-called map matching data for improving the accuracy of position detection and map data for searching for a route. The map data includes various data, one of which is facility information about the facility. The facility information is specifically POI (Point Of Interest) information stored in association with an ID that identifies the facility. The POI information includes facility name, facility ID, position coordinates, information indicating type (genre), and the like.

  The voice recognition information storage unit 40 is composed of the same HDD as the map data storage unit 30. Of course, other media such as a memory card may be used. A recognition dictionary 41 is stored in the voice recognition information storage unit 40.

  In the recognition dictionary 41, speech waveform data and a corresponding word are stored in association with each other. In the recognition dictionary 41, when the word corresponding to the speech waveform data is included in the map data, the speech waveform data and the map data are stored in association with each other. As shown in FIG. 2, for example, when the word corresponding to the speech waveform data X is “Okazaki Shikusho”, the facility name “Okazaki City Hall”, the genre “City Hall”, the address “Okazaki City, Aichi Prefecture,. The position coordinates (x1, y1) are stored in association with the speech waveform data X.

  Returning to FIG. 1, the operation switch group 50 includes a touch switch integrated with the display 81, a mechanical switch, a remote control device, or the like, and is used for various inputs. The operation switch group 50 includes a talk switch 51. The talk switch 51 is operated during voice input.

The voice input unit 60 is connected to a microphone 61 for inputting voice. When the talk switch 51 is turned on, the voice uttered by the speaker is input via the microphone 61.
A speaker 71 for outputting sound is connected to the sound output unit 70.
A display 81 is connected to the drawing unit 80. The display 81 is a color display using liquid crystal or CRT. Information is displayed via the display 81.

Here, the speech recognition processing will be described based on the flowchart shown in FIG. The voice recognition process shown in FIG. 3 is a process performed when the talk switch 51 is turned on, and a case where a destination is set based on a voice uttered by a speaker will be described as an example.
In the first step S101 (hereinafter, “step” is omitted and simply indicated by the symbol “S”), it is detected that the talk switch 51 is turned on.
In S102, the recognition dictionary 41 is set.

In S103, the voice information uttered by the speaker input via the microphone 61 is acquired.
In S104, recognition processing is performed on the voice information acquired in S103. Here, the audio information acquired in S103 is A / D converted into waveform data that can be processed. Then, the waveform data and the speech waveform data stored in the recognition dictionary 41 are collated to identify a recognition candidate.

  In S105, it is determined whether or not a recognition result is obtained in the recognition process in S104. In this embodiment, when a recognition candidate can be specified in S104, it is determined that a recognition result has been obtained. When the recognition result is not obtained (S105: NO), the process proceeds to S107. When a recognition result is obtained (S105: YES), the process proceeds to S106.

  In S106, the identified recognition candidate is output. Specifically, when the identified recognition candidate is “Okazaki City Hall”, the speaker 71 outputs a voice such as “Set Okazaki City Hall as the destination”. In addition, a map centering on the Okazaki City Hall is displayed on the display 81. Then, the Okazaki city hall is set as a destination, the route is searched, and the route guidance to the Okazaki city hall is performed. Note that destination setting, route search, and route guidance are performed in a process different from this process.

  In S107, when the recognition result is not obtained (S105: NO), the waveform data of the voice information acquired in S103 is held in the RAM constituting the control unit 10 as unrecognizable voice information, and the recognition disabled flag. Set. Further, a voice such as “Could not be recognized” is output via the speaker 71.

  Next, a recognition dictionary registration process for registering a recognition dictionary based on subsequent operations for voice information that could not be recognized will be described based on a flowchart shown in FIG. The recognition dictionary registration process shown in FIG. 4 is a process that is performed when the unrecognizable flag is set.

In the first S111, it is determined whether or not new information related to the destination setting has been acquired.
The new information to be acquired may be information input via the operation switch group 50 or may be audio information input via the microphone 61. When it is determined that new information has not been acquired (S111: NO), the process proceeds to S113. When it is determined that new information has been acquired (S111: YES), the process proceeds to S112.
In S112, a destination is set based on the acquired new information.

  If it is determined that new information related to the destination setting has not been acquired (S111: NO), in S113, it is determined whether the ignition is turned off. If it is determined that the ignition is not turned off (S113: NO), the process returns to S111. When it is determined that the ignition is turned off (S113: YES), the process proceeds to S114.

In S114, an estimated point is specified. That is, new information is acquired (S111: YES), and a destination is set based on the acquired new information (S112). In S114, the set destination is specified as an estimated point. Moreover, in S114 which transfers after it is judged that the ignition was turned off (S113: YES), the point where the ignition was turned off is specified as an estimated point.
In the present embodiment, the operation for setting the destination performed after the unrecognizable voice information is held or the operation for turning off the vehicle ignition after the recognized voice additional information is held is “recognition result judging means”. This corresponds to an operation performed after it is determined that a recognition result cannot be obtained.

In S115, the estimated point information regarding the specified estimated point is acquired from the map data storage unit 30. Here, POI information corresponding to the estimated point is acquired.
In S116, it is determined whether or not the genre of the facility is set in advance. In the present embodiment, it is before S107 in FIG. 3, and it is determined whether or not the genre of the facility is set in a series of operation processes up to S107. Here, the “series of operation processing” is, for example, the genre “Ramen shop” is set by voice recognition or operation via the operation switch group 50, and as an answer to the question “Where is the ramen shop?” This is an operation process for setting the genre “ramen restaurant” when the user turns on the talk switch 51 and the processes shown in FIGS. 2 and 3 are performed. In other words, it can be said that the operation process related to the setting of the genre when prompting the user to input detailed information on the assumption that the genre is set corresponds to “a series of operation processes”. Further, in the present embodiment, information related to a genre of a preset facility (hereinafter referred to as “set facility genre”) corresponds to “preliminary information leading to speech of unrecognizable speech”. When the genre of the facility is not set in advance (S116: NO), the process proceeds to S118. When the genre of the facility is set in advance (S116: YES), the process proceeds to S117.

  In S117, it is determined whether or not the facility genre included in the estimated point information matches the set facility genre. In this embodiment, since the prior information is information related to the genre of the facility, the information related to the genre of the facility included in the estimated point information corresponds to “attribute information”. When the genre of the facility included in the estimated point information does not match the set facility genre (S117: NO), the process of S118 is not performed. When the genre of the facility included in the estimated point information matches the set facility genre (S117: YES), the process proceeds to S118.

  When the genre of the facility is not set in advance (S116: NO), and when the genre of the facility is set in advance and the genre of the facility included in the estimated point information matches the set facility genre (S116: (YES, S117: YES) In S118, the unrecognizable speech information held in S107 in FIG. 3 and the estimated point information are associated with each other and stored in the recognition dictionary 41. At this time, a sound such as “Register a keyword that could not be recognized as a word indicating this point” is output via the speaker 71. In addition, the recognition impossible flag set in S107 is reset, and the recognition dictionary registration process is terminated.

Here, a specific example of the recognition dictionary registration process will be described.
(1) Specific example 1
Specific examples 1 and 2 are examples in which a speaker utters the word “Grandpa House” when setting a destination. In the first specific example, a dictionary registration process when a destination is set after “Grandpa's House” cannot be recognized will be described.

  When the talk switch 51 is turned on in setting the destination (S101), the recognition dictionary 41 is set (S102). When the speaker speaks “Grandpa's house”, voice information is acquired (S103), and recognition processing is performed (S104). If the speech waveform data corresponding to the waveform data A of the spoken “Grandpa family” is not stored in the recognition dictionary 41 and the recognition result cannot be obtained (S105: NO), a speech such as “Could not be recognized” is given. At the same time, the waveform data A is held as unrecognizable voice information (S107).

  Here, a speaker who has been notified that “Grandpa's house” could not be recognized entered the address “3-18, Amachi, Midori-ku, Nagoya-shi” via the operation switch group 50 and set it as the destination. In the case (S111: YES), the input address “Nagoya City Midori-ku Amachi 3-18” is highly likely to be the address of “Grandpa House”. In the present embodiment, since the destination is set based on the newly acquired information (S111: YES, S112), the set destination “Nagoya City Midori-ku Amachi 3-18” is changed to “Grandpa”. It is specified as an estimated point estimated to correspond to “house” (S114), and estimated point information is acquired (S115).

  If the facility genre is not set before the waveform data A of “Grandpa House” is stored as unrecognizable voice information (S116: NO), the waveform data A of “Grandpa House” stored as unrecognizable information is stored. And the information related to the point “3-18, Midori-ku, Nagoya-shi” identified as the estimated point are stored in the recognition dictionary 41 in association with each other. Specifically, as shown in FIG. 2, it corresponds to the address “Nagoya City Midori-ku Amachi 3-18” (in FIG. 2, “A town” and after are omitted) and the input address. The position coordinates (xa, ya) to be stored and the waveform data A are stored in the recognition dictionary 41 in association with each other. Further, a voice such as “Register a keyword that could not be recognized as a word indicating this point” is output through the speaker 71 (S118).

(2) Specific example 2
In the second specific example, after the waveform data A of “Grandpa's house” is held as unrecognizable voice information (S107), dictionary registration processing in a case where new information relating to destination setting is not acquired (S111: NO) Will be explained.
In this example, since the vehicle is traveling without setting the destination, the waveform data A of “Grandpa's house” is held as unrecognizable voice information (S107), and the point where the ignition is turned off is set as the destination. There is a high probability that it is a point corresponding to the “Grandpa House”. Therefore, in this embodiment, after the waveform data A of “Grandpa House” is held as unrecognizable voice information (S107), if the destination is not set (S111: NO), the point where the ignition is turned off is indicated as “Grandpa”. It is specified as an estimated point estimated to correspond to the waveform data A of “house” (S113: YES, S114), and estimated point information regarding the estimated point is acquired (S115).

  If the facility genre is not set before the waveform data A of “Grandpa House” is stored as unrecognizable voice information (S116: NO), the waveform data A of “Grandpa House” stored as unrecognizable information is stored. And the estimated spot information, which is information related to the spot where the ignition is turned off, are stored in the recognition dictionary 41 in association with each other. Further, a voice such as “Register a keyword that could not be recognized as a word indicating this point” is output through the speaker 71 (S118).

  According to specific examples 1 and 2, the speaker does not need to perform an operation for registering the address “3-18, Amachi, Midori-ku, Nagoya-shi” with respect to the waveform data A of “Grandpa family”. Also, from the next time, by speaking “Grandpa House”, the information on the estimated point stored in association with the waveform data A of “Grandpa House” can be suitably used, and convenience is improved.

(3) Specific example 3
In specific example 3, a case will be described in which the genre of the destination facility is set based on the voice information uttered by the speaker.
When the speaker asks the genre, such as “Please speak the genre” via the speaker 71, and the speaker turns on the talk switch 51 (S101), the genre recognition dictionary 41 is set (S102). Next, it is assumed that the speaker speaks “convenience store”. Then, the spoken “convenience store” is acquired as voice information (S103), and recognition processing is performed (S104). If the speech waveform data corresponding to the waveform data B of the “convenience store” is not stored as the “genre” in the recognition dictionary 41 and the recognition result cannot be obtained (S105: NO), a speech such as “Could not be recognized” is given. At the same time, the waveform data B of “convenience store” is held as unrecognizable voice information (S107).

  When the waveform data B of the “convenience store” is stored as unrecognizable voice information (S107) and the vehicle travels without setting the destination (S111: NO), the point where the ignition is turned off corresponds to the “convenience store”. The estimated point to be estimated is specified (S113: YES, S114), and estimated point information regarding the estimated point is acquired (S115). When the genre of the facility corresponding to the point where the ignition is turned off is “convenience store”, the user has a high probability of speaking the “convenience store” that is the genre of the facility as “convenience store”. Therefore, as shown in FIG. 2, “convenience store” waveform data B and facility genre “convenience store” are stored in the recognition dictionary 41 in association with each other. Further, a voice such as “Register a keyword that could not be recognized earlier as a word indicating“ convenience store ”” is output through the speaker 71 (S118).

  In specific example 3, it can be said that the waveform data B of “convenience store” uttered in response to the question “Please speak genre” is specified to be a word related to the genre. As described above, when the unrecognizable sound information is specified as information on the genre, the information on the genre in the estimated point information is referred to, and the corresponding genre (“convenience store” in the specific example 3) and the unrecognizable sound information. May be stored in association with each other. In other words, “when the attribute of the unrecognizable voice information is specified, the storage control means refers to the estimated point information and stores the attribute information corresponding to the attribute of the unrecognizable voice information and the unrecognizable voice information in association with each other. Is to do.

(4) Specific example 4
Specific example 4 describes dictionary registration processing in the case where the genre of the destination facility is set in advance.
It is assumed that a voice such as “Please speak a genre” is output via the speaker 71 and the genre is questioned, and the speaker speaks “Ramen shop”. Then, the waveform data C of “ramen restaurant” is acquired as voice information (S103), recognition processing is performed (S104), and when “ramen restaurant” is specified as a recognition candidate (S105: YES), the recognition candidate is determined. It is output (S106). In this example, a voice prompting a new input “Which ramen shop?” Is output through the speaker 71 (S106), and the voice recognition process shown in FIG. 3 is terminated. At this time, “Ramen shop” is set as the genre of the destination facility and stored internally. The processing so far corresponds to a series of operation processing up to S107 of the speech recognition processing to be performed next, and “ramen shop” corresponds to “preliminary information leading to utterance of unrecognizable speech information”.

  When the talk switch is turned on in response to the question “Where is ramen shop?” (S101), a recognition dictionary corresponding to the facility genre “ramen shop” is set (S102). Here, it is assumed that the speaker speaks “KR 苑”. Then, the spoken “KR 苑” is acquired as voice information (S103), and recognition processing is performed (S104). If the waveform data D corresponding to “KR 苑” is not stored in the recognition dictionary corresponding to “Ramen shop” in the recognition dictionary 41 and the recognition result cannot be obtained (S105: NO), “Recognition was not possible” And the waveform data D of “KR 苑” is held as unrecognizable voice information (S107).

  After holding the waveform data D of “KR 苑” as unrecognizable voice information (S107), when driving without setting the destination (S111: NO), the location where the ignition is turned off is the waveform of “KR 苑” The estimated point estimated to correspond to the data D is specified (S113: YES, S114), and estimated point information regarding the estimated point is acquired (S115).

  In this example, the genre of the destination facility is set in advance as “Ramen shop” (S116: YES). Next, it is determined whether or not the genre of the facility included in the estimated point information matches the ramen shop as the set facility genre (S117). When the genre of the facility included in the estimated point information is a ramen shop, since the genre of the facility included in the estimated point information matches the set facility genre (S117: YES), “KR” held as unrecognizable speech information The waveform data D of “苑” and the estimated point information are associated and stored in the recognition dictionary 41. Specifically, as shown in FIG. 2, the name “KR 苑”, the genre “Ramen shop”, the address and position coordinates, which are estimated point information, and the waveform data D are associated and stored in the recognition dictionary 41. . Further, a voice such as “Register a keyword that could not be recognized as a word indicating this point” is output through the speaker 71 (S118).

  On the other hand, if the genre of the facility included in the estimated point information is not a ramen shop but a convenience store, for example, the genre of the facility included in the estimated point information does not match the set facility genre (S117: NO). In this case, for example, it is considered that a convenience store was stopped on the way to the ramen shop as the destination, and there is a high possibility that the point where the ignition is turned off is not the destination. Therefore, the process (S118) of correlating and storing the waveform data D of “KR 苑” held as unrecognizable speech information and the estimated point information in the recognition dictionary 41 is not performed. At this time, the waveform data D of “KR 苑” may be discarded, or the processing shown in FIG. 4 may be performed again when the ignition is turned on.

As described above in detail, the voice information uttered by the speaker is acquired (S103), the voice information is recognized (S104), and it is determined whether a recognition result is obtained (S105). If it is determined that the recognition result cannot be obtained (S105: NO), the speech information is held as unrecognizable speech information (S107). Further, based on an operation executed after it is determined that a recognition result cannot be obtained, an estimated point on the map that is estimated to correspond to the recognized speech disabled information is identified (S114), and the estimated point information regarding the estimated point is recognized. The impossible voice information is stored in association with each other (S118). As a result, the unrecognizable speech information for which no recognition result has been obtained can be appropriately stored in association with the estimated point information related to the estimated point estimated to correspond to the unrecognizable speech information. Information can be appropriately recognized by voice. Further, by storing the unrecognizable voice information and the estimated point information in association with each other in the recognition dictionary 41, the stored unrecognizable voice information can be used as recognizable information in the subsequent voice recognition process. User convenience is improved.
In the present embodiment, the unrecognizable voice information is automatically stored as voice-recognizable information by storing the estimated point information and the unrecognizable voice information in association with each other without the user performing an operation for registration. be able to.

  After it is determined that the recognition result cannot be obtained (S105: NO), it is determined whether or not the information related to the destination setting is acquired (S111). When the destination is set based on the information related to the setting of the destination (S111: YES, S112), the destination is specified as the estimated point (S114). Thereby, since an estimated point is specified based on the information which concerns on the setting of the destination, the estimated point estimated to respond | correspond to unrecognizable audio | voice information can be specified more appropriately.

  Further, when it is determined that new information related to the destination setting has not been acquired (S111: NO), the point where the vehicle ignition is turned off is specified as the estimated point (S113: YES, S114). As a result, it is possible to easily identify an estimated point estimated to correspond to unrecognizable voice information.

  Furthermore, when the genre of the destination facility is preset (S116: YES), it is determined whether the genre of the facility included in the estimated point information matches the set facility genre (S117), and the estimated point When the genre of the facility included in the information matches the set facility genre (S117: YES), the estimated point information and the recognized speech impossibility information are stored in association with each other. As a result, the estimated point information and the unrecognizable voice information can be stored in association with each other with high accuracy.

  In the present embodiment, the control unit 10 performs “voice information acquisition means”, “recognition processing means”, “recognition result judgment means”, “voice information holding means”, “point specifying means”, “storage control means”, “new control means”, It constitutes “information acquisition determination means” and “match determination means”. Further, S103 in FIG. 3 corresponds to the processing as the function of the “voice information acquisition unit”, S104 corresponds to the processing as the function of the “recognition processing unit”, and S105 as the function of the “recognition result determination unit”. S107 corresponds to the process as the function of the “voice information holding means”, S114 in FIG. 4 corresponds to the process as the function of the “point specifying means”, and S118 corresponds to the “storage control means”. It corresponds to the processing as a function. Further, S111 corresponds to a process as a function of “new information acquisition determination unit”, and S117 corresponds to a process as a function of “match determination unit”.

As mentioned above, this invention is not limited to the said embodiment at all, In the range which does not deviate from the meaning of invention, it can implement with a various form.
(A) Point specifying means In the above embodiment, when it is determined that new information related to the destination setting has not been acquired (S111: NO), it is determined whether the ignition is turned off (S113), The point where the ignition was turned off was identified as the estimated point. In a modification, it may be configured to omit the determination of whether or not new information related to the destination setting has been acquired, and to specify the point where the ignition is turned off as the estimated point. As a result, it is possible to easily identify an estimated point estimated to correspond to unrecognizable voice information.

(A) Match determination means In the above embodiment, it is determined whether or not the genre of the destination facility included in the estimated point information matches the set facility genre as prior information (S117), and is included in the estimated point information. When the genre of the destination facility and the set facility genre match (S117: YES), the unrecognizable voice information and the estimated point information are stored in association with each other. The prior information is not limited to the genre of the facility, and may be any information as long as it is information acquired in a series of operations up to S107.

  Specifically, the prior information may be information regarding an address. For example, it is assumed that the speech information uttered by the speaker can be recognized up to “Okazaki City, Aichi Prefecture”, but the destination cannot be recognized. At this time, the waveform data E of the audio signal following “Okazaki City, Aichi Prefecture” is held as unrecognizable audio information. In addition, “Okazaki City, Aichi Prefecture” is assumed to be prior information. If the address of the identified estimated point is “Okazaki, Okazaki, Aichi”, the attribute information (address in this example) included in the unrecognizable speech information matches the prior information “Okazaki, Aichi” Therefore, the waveform data E held as the recognized speech impossibility information and “Okamachi” following “Okazaki City, Aichi Prefecture” are stored in the recognition dictionary 41 in association with each other. On the other hand, if the address of the identified estimated location is other than Okazaki City, Aichi Prefecture, the attribute information included in the unrecognizable speech information and the prior information do not match. Do not perform memorizing process.

(C) Recognition Dictionary In the above embodiment, the recognition dictionary stores waveform data that has been A / D converted as voice information. In a modification, the speech information in the recognition dictionary may be stored as a phoneme string. In this case, the unrecognizable speech information may be held as a phoneme string instead of the waveform data.

(D) Confirmation process for speaker After step S106 in FIG. 3 outputs the recognition result, a step of determining whether the recognition result is intended by the speaker may be added. For example, the speaker 71 is prompted to confirm by uttering a voice such as “Are you sure?” Via the speaker 71, and the voice information input via the microphone 61 or the operation switch group 50 is input. Information is acquired, and it is determined whether or not the recognition result is intended by the speaker based on the acquired information. When it is determined that the recognition result is not intended by the speaker, the process may proceed to S107, and the waveform data of the voice information acquired in S103 may be held as unrecognizable voice information.

Further, when a plurality of recognition candidates are specified in the recognition processing in S104, the speaker may be prompted to select.
Furthermore, immediately before S118 in FIG. 4, a process for prompting the speaker to determine whether or not the recognized speech impossibility information and the estimated spot information are stored in association with each other is added. May be configured not to perform the process of S118.

(E) Storage control means In the above embodiment, the estimated point on the map estimated to correspond to the unrecognizable voice information and the unrecognizable voice information are stored in association with each other. In the modification, the unrecognizable voice information and the information related to the operation of the vehicle information terminal may be stored in association with each other. Specifically, for example, when the voice information “turn off air conditioning” is acquired but cannot be recognized, the waveform data F of the voice data “turn off air conditioning” is held as unrecognizable voice information. Then, when an operation to turn off the air conditioner is performed thereafter, the waveform data F of the voice data “turn off the air conditioner” and the operation information to turn off the air conditioner are stored in association with each other.

  1: navigation device (vehicle information terminal), 10: control unit (voice information acquisition means, recognition processing means, recognition result judgment means, voice information holding means, point identification means, storage control means, new information acquisition judgment means, coincidence Determination means), 20: position detector, 21: geomagnetic sensor, 22: gyroscope, 23: distance sensor, 24: GPS receiver, 30: map data storage unit, 40: voice recognition information storage unit, 41: recognition dictionary , 50: operation switch group, 51: talk switch, 60: audio input unit, 61: microphone, 70: audio output unit, 71: speaker, 80: drawing unit, 81: display

Claims (6)

Voice information acquisition means for acquiring voice information uttered by a speaker;
Recognition processing means for recognizing the voice information acquired by the voice information acquisition means;
Recognition result judging means for judging whether a recognition result is obtained by the recognition processing means;
Voice information holding means for holding the voice information as unrecognizable voice information when the recognition result judgment means determines that the recognition result cannot be obtained;
A point identifying unit that identifies an estimated point on the map that is estimated to correspond to the unrecognizable speech information based on an operation performed after the recognition result determining unit determines that the recognition result cannot be obtained;
Storage control means for storing the estimated point information related to the estimated point and the unrecognizable voice information in association with each other;
A vehicle information terminal comprising: After determining that the recognition result cannot be obtained by the recognition result determination unit, the information acquisition unit includes a new information acquisition determination unit that determines whether information related to destination setting is acquired.
The point specifying unit is configured to specify the estimated point based on the information related to the destination setting when the new information acquisition determining unit determines that the information related to the destination setting is acquired. The vehicle information terminal according to claim 1.   The point specifying unit specifies, as the estimated point, a point where the ignition of the vehicle is turned off when it is determined by the new information acquisition determining unit that information relating to the setting of the destination has not been acquired. The vehicle information terminal according to claim 2.   2. The point according to claim 1, wherein the point specifying unit specifies a point where the ignition of the vehicle is turned off after the recognition result determining unit determines that the recognition result is not obtained as the estimated point. Information terminal for vehicles. When prior information leading to the utterance of the unrecognizable voice information has been acquired, it comprises a match determining means for determining whether or not the attribute information included in the estimated point information matches the prior information,
The storage control means stores the estimated point information and the unrecognizable voice information in association with each other when the attribute information and the prior information are determined to match by the match determination means. Item 5. The vehicle information terminal according to any one of Items 1 to 4. Voice information acquisition means for acquiring voice information uttered by a speaker;
Recognition processing means for recognizing the voice information acquired by the voice information acquisition means;
Recognition result judging means for judging whether a recognition result is obtained by the recognition processing means;
Voice information holding means for holding the voice information as unrecognizable voice information when the recognition result judgment means determines that the recognition result cannot be obtained;
Point identifying means for identifying an estimated point on the map that is estimated to correspond to the unrecognizable voice information based on an operation performed after the recognition result determining means determines that the recognition result cannot be obtained;
And storage control means for storing the estimated point information related to the estimated point and the unrecognizable voice information in association with each other,
As a program that allows the computer to function.

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