Abstract: A speech dialogue system capable of realizing natural and smooth dialogue between the system and a human user, and easy maneuverability of the system. In the system, a semantic content of input speech from a user is understood and a semantic content determination of a response output is made according to the understood semantic content of the input speech. Then, a speech response and a visual response according to the determined response output are generated and outputted to the user. The dialogue between the system and the user is managed by controlling transitions between user states during which the input speech is to be entered and system states during which the system response is to be outputted. The understanding of a semantic content of input speech from a user is made by detecting keywords in the input speech, with the keywords to be detected in the input speech limited in advance, according to a state of a dialogue between the user and the system.

Abstract: A speech dialogue system capable of realizing natural and smooth dialogue between the system and a human user, and easy maneuverability of the system. In the system, a semantic content of input speech from a user is understood and a semantic content determination of a response output is made according to the understood semantic content of the input speech. Then, a speech response and a visual response according to the determined response output are generated and outputted to the user. The dialogue between the system and the user is managed by controlling transitions between user states during which the input speech is to be entered and system states during which the system response is to be outputted. The understanding of a semantic content of input speech from a user is made by detecting keywords in the input speech, with the keywords to be detected in the input speech limited in advance, according to a state of a dialogue between the user and the system.

Abstract: A speech recognition apparatus includes a a low-order parameter analyzation section for deriving low-order parameter time series of an input speech, a start and end point detection section for detecting the start and end points of the input speech by use of the parameter time series derived by the low-order parameter analyzation section, a high-order parameter analyzation section for deriving high order parameters at preset sampling points from the input speech of a range corresponding to the start and end points detected by the start and end point detection section, a pattern matching section for matching feature parameters corresponding to the parameters derived by the high-order parameter analyzation section with standard parameters previously registered and deriving similarities between the matched parameters, and a recognition result outputting section for outputting the recognition result for the input speech according to the similarities derived by the pattern matching section.