Abstract: Video data obtained by imaging a target region is acquired, and a partial region video including at least a detection target object is detected from a frame of the acquired video data. Then, feature information indicating a feature of a motion of the object is extracted from a plurality of the partial region videos detected in a first section for each first section including a plurality of frames, and first behavior feature information is generated by structuring the plurality of pieces of extracted feature information in a second section. Subsequently, a cost reflecting similarity between the generated first behavior feature information and each of a plurality of pieces of second behavior feature information related to the object prepared in advance is calculated, the second behavior feature information in which the calculated cost satisfies a preset condition is detected as search behavior information, and the detected search behavior information is output.

Abstract: A generation apparatus 100 includes: an argumentative scheme adding unit 10 which adds an argumentative scheme with respect to pair data constituted by an input utterance and a counter utterance 121 that voices a negative opinion with respect to the input utterance and which generates argumentative scheme-added pair data 122; a generation model learning unit 20 which learns a generation model for generating a counter utterance from an input utterance in consideration of the argumentative scheme by using the argumentative scheme-added pair data 122 as learning data and which generates a learned counter utterance generation model 123; and a counter utterance generating unit 30 which acquires an input utterance of a user and a designated argumentative scheme and which outputs a counter utterance using the counter utterance generation model 123.

Abstract: A conversion device (10) includes: an evaluation unit (11) that estimates which one of subjective evaluation values obtained by quantifying easiness of transmission of a content of a voice felt by a person is to be taken from an input voice signal; and a conversion unit (12) that converts the input voice signal so as to obtain a subjective evaluation value of a predetermined value on the basis of the subjective evaluation value estimated by the evaluation unit (11).

Abstract: The present invention provides a pronunciation error detection apparatus capable of following a text without the need for a correct sentence even when erroneous recognition such as a reading error occurs.

Abstract: A generation apparatus 100 includes: an argumentative scheme adding unit 10 which adds an argumentative scheme with respect to pair data constituted by an input utterance and a counter utterance 121 that voices a negative opinion with respect to the input utterance and which generates argumentative scheme-added pair data 122; a generation model learning unit 20 which learns a generation model for generating a counter utterance from an input utterance in consideration of the argumentative scheme by using the argumentative scheme-added pair data 122 as learning data and which generates a learned counter utterance generation model 123; and a counter utterance generating unit 30 which acquires an input utterance of a user and a designated argumentative scheme and which outputs a counter utterance using the counter utterance generation model 123.

Abstract: The present invention provides a pronunciation error detection apparatus capable of following a text without the need for a correct sentence even when erroneous recognition such as a reading error occurs.