Abstract: An information processing device includes an acquisition unit, an identification unit and an emotion estimation unit. The acquisition unit acquires input information as information regarding a user in a certain situation. The identification unit identifies an object to which the user is paying attention and the user's appearance when the user is paying attention to the object based on the input information. The emotion estimation unit estimates emotion of the user based on object information indicating the identified object, appearance information indicating the identified appearance, and a predetermined method of estimating the emotion.

Abstract: In an acoustic signal separation device (1), a determination unit (6) determines whether or not components from a plurality of sound sources are mixed in each of acoustic signals of respective components regenerated by a signal regeneration unit (5), and when it is determined that a plurality of components is mixed, a series of processes by a feature value extraction unit (2), a data estimation unit (3), a data classification unit (4), and a signal regeneration unit (5) is repeatedly executed until acoustic signals of the components of the respective sound sources are regenerated.

Abstract: In an acoustic signal separation device (1), a determination unit (6) determines whether or not components from a plurality of sound sources are mixed in each of acoustic signals of respective components regenerated by a signal regeneration unit (5), and when it is determined that a plurality of components is mixed, a series of processes by a feature value extraction unit (2), a data estimation unit (3), a data classification unit (4), and a signal regeneration unit (5) is repeatedly executed until acoustic signals of the components of the respective sound sources are regenerated.

Abstract: An output information generator generates abstract output information unrelated to the types of outputters according to information from an input unit. Semantic interpreters of the outputters generate pieces of embodied output information from the abstract output information on the basis of monitor results from status monitors which monitor the operating statuses of the corresponding outputters. Processing performers perform processes corresponding to the pieces of embodied output information.

Abstract: An output information generator 3 generates abstract output information 4 unrelated to the types of outputters 5a, 5b, and . . . according to information from an input unit 1. Semantic interpreters 54a, 54b, and . . . of the outputters 5a, 5b, and . . . generate pieces of embodied output information 55a, 55b, and . . . from the abstract output information 4 on the basis of monitor results from status monitors 51a, 51b, and . . . which monitor the operating statuses of the corresponding outputters. Processing performers 56a, 56b, and . . . perform processes corresponding to the pieces of embodied output information 55a, 55b, and . . . .

Abstract: A candidate voice segment sequence generator 1 generates candidate voice segment sequences 102 for an input language information sequence 101 by using DB voice segments 105 in a voice segment database 4. An output voice segment sequence determinator 2 calculates a degree of match between the input language information sequence 101 and each of the candidate voice segment sequences 102 by using a parameter 107 showing a value according to a cooccurrence criterion 106 for cooccurrence between the input language information sequence 101 and a sound parameter showing the attribute of each of a plurality of candidate voice segments in each of the candidate voice segment sequences 102, and determines an output voice segment sequence 103 on the basis of the degree of match.

Abstract: A candidate voice segment sequence generator 1 generates candidate voice segment sequences 102 for an input language information sequence 101 by using DB voice segments 105 in a voice segment database 4. An output voice segment sequence determinator 2 calculates a degree of match between the input language information sequence 101 and each of the candidate voice segment sequences 102 by using a parameter 107 showing a value according to a cooccurrence criterion 106 for cooccurrence between the input language information sequence 101 and a sound parameter showing the attribute of each of a plurality of candidate voice segments in each of the candidate voice segment sequences 102, and determines an output voice segment sequence 103 on the basis of the degree of match.