Abstract: An authentication control includes a connection authentication and an operation authentication for an authentication target device using a mobile terminal and a communication device that receives a signal from the mobile terminal toward the authentication target device. Information received by a reception unit in the mobile terminal and information detected by a state sensor for detecting a state of the mobile terminal are acquired. A connection response signal is transmitted from a transmission unit in the mobile terminal when the state of the mobile terminal satisfies a permission condition. A state determination for determining the state of the mobile terminal is performed after the reception unit receives the connection request signal.

Abstract: A vehicle communication device for use in a vehicle includes a data acquisition unit for acquiring captured images as travel data; a data generator for generating transmission data from the travel data for transmission to a data center; and a data transmitter transmitting the transmission data generated by the data generator to the data center. When there is a plurality of different travel data types, the data generator can increase the priority of any of the travel data types based on a data center necessity level, and prioritize the transmission of the transmission data generated from prioritized travel data.

Abstract: A travel plan generation device generates a travel plan including a recommended route for a travel of a driving support vehicle. The drive support vehicle is a vehicle that (i) performs a driving support for the vehicle by performing a positioning to identify a position of the vehicle using an autonomous sensor attached to the vehicle and (ii) performs the driving support based on information obtained by a communication resource. The travel plan generation device stores a communication resource map indicating a correspondence relationship between a point and a communication resource amount that is an amount of the communication resource estimated to be available for communication at the point. The travel plan generation device stores a positioning accuracy map indicating a correspondence relationship between a point and a positioning accuracy estimated when the autonomous sensor performs the positioning of the vehicle at the point.

Abstract: A vehicle communication device for use in a vehicle includes a data acquisition unit for acquiring captured images as travel data; a data generator for generating transmission data from the travel data for transmission to a data center; and a data transmitter transmitting the transmission data generated by the data generator to the data center. When there is a plurality of different travel data types, the data generator can increase the priority of any of the travel data types based on a data center necessity level, and prioritize the transmission of the transmission data generated from prioritized travel data.

Abstract: A speech recognition apparatus includes a storage medium for storing tree structured dictionary data containing words as nodes in a tree structure with a root and leaf nodes. An input speech is compared with a forward acoustic model corresponding to a speech resulting from chronologically reproducing words indicated by nodes for leaf nodes. A backward speech is further compared with a backward acoustic model. The backward speech is generated by reproducing the input speech in chronologically backward order. The backward acoustic model corresponds to a speech resulting from reproducing a word string toward the root in chronologically backward order. The comparison is performed in the backward order of a sequence starting from one of separator nodes. The speech recognition apparatus thereby outputs a word string that highly likely matches the input speech.

Abstract: Both a telephone number dictionary and a number dictionary are used for speech recognition of telephone numbers. The telephone number dictionary stores actually existent telephone numbers for fixed-line phones. The number dictionary stores variable numbers and digits. The telephone number dictionary ensures a relatively high recognition rate. When only the telephone number dictionary is used, the speech recognition dictionary needs to be updated each time a toll number or a local office number is changed. When it is necessary to recognize a mobile phone number that is frequently added or changed, the speech recognition dictionary also needs to be updated frequently. Such update work is very bothersome. However, the number dictionary can be used for speech recognition. The update work becomes unnecessary.

Abstract: A speech recognition apparatus includes a storage medium for storing tree structured dictionary data containing words as nodes in a tree structure with a root and leaf nodes. An input speech is compared with a forward acoustic model corresponding to a speech resulting from chronologically reproducing words indicated by nodes for leaf nodes. A backward speech is further compared with a backward acoustic model. The backward speech is generated by reproducing the input speech in chronologically backward order. The backward acoustic model corresponds to a speech resulting from reproducing a word string toward the root in chronologically backward order. The comparison is performed in the backward order of a sequence starting from one of separator nodes. The speech recognition apparatus thereby outputs a word string that highly likely matches the input speech.

Abstract: Voice of a user is inputted to a speech recognition section until a start of a no-voice domain from depression of a talk-switch. LPC cepstrum coefficients are calculated from the voice in an LPC analysis section and a cepstrum calculation section, and then temporarily stored in a parameter backward output section. A series of the LPC cepstrum coefficients is re-arranged to the series in which the time axis is inverted and then outputted to a collating section. The collating section calculates a degree of similarity between the LPC cepstrum coefficients and a recognition dictionary of a backward tree-structure stored in a standard pattern section through a backward collating.

Abstract: Voice of a user is inputted to a voice recognition section until a start of a no-voice domain from depression of a talk-switch. LPC cepstrum coefficients are calculated from the voice in an LPC analysis section and a cepstrum calculation section, and then temporarily stored in a parameter backward output section. A series of the LPC cepstrum coefficients is re-arranged to the series in which the time axis is inverted and then outputted to a collating section. The collating section calculates a degree of similarity between the LPC cepstrum coefficients and a recognition dictionary of a backward tree-structure stored in a standard pattern section through a backward collating.