Abstract: An interactive information providing apparatus is provided with: an output component that provides an information requesting output for requesting a user for information; an input component that receives from the user input information to the information requesting output; and an interaction controller component that controls the output component and the input component according to a scenario, to carry on a dialogue with the user. In the apparatus, the interaction controller component changes a level at which the output component requests a user for information, according to an importance parameter associated with the scenario.

Abstract: It is possible to realize a reliable audio recognition in use of dictionary data for audio recognition while reducing the data amount of the dictionary data. An information recording and reproducing apparatus RP acquires text data indicating each program title from EPG data, sets up a keyword within a range of number of characters “N” enabled to be displayed in a display column in a program list from each text data thus acquired, generates feature quantity pattern indicating feature quantity of voice corresponding to each keyword, and associates the feature quantity pattern with text data for specifying a program title to generate dictionary data. Furthermore, when displaying a program list, keyword portion is highlighted to show a user content of the keyword.

Abstract: When a voice of the user cannot be recognized, a voice recognition device automatically switches to a voice command registration mode. In the voice command registration mode, the user is caused to select a desired processing, the unrecognized voice is registered, and the desired processing is executed.

Abstract: A navigation apparatus, which is to be mounted on a movable body, comprises a navigation information acquisition unit, a requirement judgment unit and a control unit. The navigation information acquisition unit acquires navigation information relating to movement of the movable body. The requirement judgment unit judges as whether or not dialog start requirements are satisfied on the basis of the navigation information. The control unit gives a speech to a user to start providing interactive information, in case where the dialog start requirements are satisfied.

Abstract: An apparatus for recognizing a word based on voice information, includes, a keyword model storing device, a non-keyword model storing device, a model updating device and a recognition device. The keyword model storing device stores words to be potentially spoken, as keyword models. The non-keyword model storing device stores words to be potentially spoken, as non-keyword models. The model updating device updates the recognition and non-keyword models, based on a previously recognized word. The recognition device matches the recognition and non-keyword models updated with the voice information. The model updating device updates the non-keyword models utilizing a non-keyword variation vector, which is indicative of variation of the non-keyword models, from the non-updated to the updated, and has been set to be smaller than a non-keyword variation vector applied in the updating of the non-keyword models.

Abstract: A navigation apparatus, which is to be mounted on a movable body, comprises a navigation information acquisition unit, a requirement judgment unit and a control unit. The navigation information acquisition unit acquires navigation information relating to movement of the movable body. The requirement judgment unit judges as whether or not dialog start requirements are satisfied on the basis of the navigation information. The control unit gives a speech to a user to start providing interactive information, in case where the dialog start requirements are satisfied.

Abstract: A voice recognition apparatus comprises a voice input device, a recognition processing device, a judging device and a setting device. The voice input device receives a voice input from a user. The recognition processing device performs a recognition processing to determine a plurality of word candidates corresponding to the voice input, through a matching processing with respective standby words in preset standby word groups. The judging device judges as whether or not the word candidates include a correct answer. The setting device determines a combination of most recognizable candidates in the word candidates and convertible word candidates thereof and sets same for the standby word groups to be used in a next recognition processing, in case where the judging device judges that the word candidate does not include the correct answer.

Abstract: An interactive information providing apparatus is provided with: an output component that provides an information requesting output for requesting a user for information; an input component that receives from the user input information to the information requesting output; and an interaction controller component that controls the output component and the input component according to a scenario, to carry on a dialogue with the user. In the apparatus, the interaction controller component changes a level at which the output component requests a user for information, according to an importance parameter associated with the scenario.

Abstract: A speech recognition apparatus comprises a speech analyzer which extracts feature patterns of spontaneous speech divided into frames; a keyword model database which prestores keyword which represent feature patterns of a plurality of keywords to be recognized; a garbage model database which prestores feature patterns of components of extraneous speech to be identified; and a first likelihood calculator which calculates likelihood of feature values based on feature values patterns of each frames and keywords; a second likelihood calculator which calculates likelihood of feature values based on feature values patterns of each frames and extraneous speech. The device recognizes keywords contained in the spontaneous speech by calculating cumulative likelihood based on the calculated likelihood adding a predetermined correction value in the second likelihood calculator.

Abstract: A speech recognition apparatus comprises a speech analyzer which extracts feature patterns of spontaneous speech divided into frames; a keyword model database which prestores keyword which represent feature patterns of a plurality of keywords to be recognized; a garbage model database which prestores feature patterns of components of extraneous speech to be identified; and a likelihood calculator which calculates likelihood of feature values based on feature values patterns of each frames, keywords, and extraneous speech. The device recognizes a keyword contained in the spontaneous speech by calculating cumulative likelihood based on the likelihood for each frame to match each HMM.