Abstract: An irreversible power switch which is operational from the outside after lamination of laminated communication device and the like, includes a substrate, electrodes disposed on the substrate, a brittle member disposed so as to face the electrodes and apart from the electrodes and a conductive adhesive portion disposed on the brittle member at a side to face the electrodes thereof. The electrodes and the conductive adhesive portion are irreversibly and electrically bonded by brittle fracture of the brittle member under the external pressing force in the thickness direction of the laminated communication device.

Abstract: An utterer identification device executes: performing voice recognition from input utterance data; selecting, from among a plurality of registered utterance contents set in advance, a registered utterance content closest to a recognized utterance content indicated by a result of the voice recognition as a selected utterance content; selecting, from among a plurality of databases respectively associated with the registered utterance contents, a database associated with the selected utterance content; calculating a similarity between a feature quantity of the input utterance data and a feature quantity stored in the selected database; and identifying a certain utterer on the basis of the similarity, and outputting a result of the identification.

Abstract: A voice recognition device includes an estimation unit that compares a plurality of pieces of registration voice data stored in a database with input voice data uttered by a speaker who gets on a mobile body to estimate a registration command corresponding to the input command, a presentation unit that presents an estimation result, a second acquisition unit that acquires an error instruction indicating that the estimation result is an error, a determination unit that, in a case where the error instruction is acquired, determines a correct command corresponding to the input command based on an operation by the speaker, and a database management unit that stores the correct command and the input voice data in the database in association with each other

Abstract: A voice recognition device includes: a calculation unit that calculates a first feature amount that is a feature amount of input voice data acquired by a first acquisition unit; an estimation unit that estimates a driving situation of a mobile object on the basis of operation information acquired by a second acquisition unit; an extraction unit that extracts, from a feature amount database, a second feature amount corresponding to the driving situation; a recognition unit that recognizes an input command on the basis of similarity between the first feature amount and the second feature amount; and an output unit that outputs a recognition result.

Abstract: An identification device includes: an obtainer that obtains voice data; an identifier that obtains, through speaker identification processing, a score indicating a degree of similarity between the voice data obtained by the obtainer and voice data on an utterance of a predetermined speaker; and a corrector that corrects the score to reduce the influence of a degradation in identification performance of the speaker identification processing by the identifier on the score and outputs the score corrected, when determining that the voice data obtained by the obtainer has a feature of reducing the influence.

Abstract: A training method of training a speaker identification model which receives voice data as an input and outputs speaker identification information for identifying a speaker of an utterance included in the voice data is provided. The training method includes: performing voice quality conversion of first voice data of a first speaker to generate second voice data of a second speaker; and performing training of the speaker identification model using, as training data, the first voice data and the second voice data.

Abstract: The information processing method in the present disclosure is performed as below. At least one speech segment is detected from speech input to a speech input unit. A first feature quantity is extracted from each speech segment detected, the first feature quantity identifying a speaker whose voice is contained in the speech segment. The first feature quantity extracted is compared with each of second feature quantities stored in storage and identifying the respective voices of registered speakers who are target speakers in speaker recognition. The comparison is performed for each of consecutive speech segments, and under a predetermined condition, among the second feature quantities stored in the storage, at least one second feature quantity whose similarity with the first feature quantity is less than or equal to a threshold is deleted, thereby removing the at least one registered speaker identified by the at least one second feature quantity.

Abstract: An irreversible power switch which is operational from the outside after lamination of laminated communication device and the like, includes a substrate, electrodes disposed on the substrate, a brittle member disposed so as to face the electrodes and apart from the electrodes and a conductive adhesive portion disposed on the brittle member at a side to face the electrodes thereof. The electrodes and the conductive adhesive portion are irreversibly and electrically bonded by brittle fracture of the brittle member under the external pressing force in the thickness direction of the laminated communication device.

Abstract: A speaker recognizing method includes acquiring subject identification information that is identification information of an authentic person who the subject speaker claims to be, calculating a first feature value representing a feature value of the subject voice signal, selecting a group including pieces of the voice information associated with the subject identification information, from the first database, calculating degrees of similarity between the pieces of the voice information included in the selected group and the first feature value and a subject degree of similarity representing a degree of similarity between the voice information associated with the subject identification information, the voice information being stored in the second database, and the first feature value, calculating a rank of the subject degree of similarity in the calculated degrees of similarity, and when the rank is smaller than a given first rank, determining the subject speaker to be the authentic person.

Abstract: A speaker recognition device according to the present disclosure includes: an acoustic feature calculator that calculates, from utterance data indicating a voice of an obtained utterance, acoustic feature of the voice of the utterance; a statistic calculator that calculates an utterance data statistic from the calculated acoustic feature; a speaker feature extractor that extracts speaker feature of a speaker of the utterance data from the calculated utterance data statistic using a deep neural network (DNN); a similarity calculator that calculates a similarity between the extracted speaker feature and pre-stored speaker feature of at least one registered speaker; and a speaker recognizer that recognizes the speaker of the utterance data based on the calculated similarity.

Abstract: A training method of training a speaker identification model which receives voice data as an input and outputs speaker identification information for identifying a speaker of an utterance included in the voice data is provided. The training method includes: performing voice quality conversion of first voice data of a first speaker to generate second voice data of a second speaker; and performing training of the speaker identification model using, as training data, the first voice data and the second voice data.

Abstract: A speaker recognizing method includes acquiring subject identification information that is identification information of an authentic person who the subject speaker claims to be, calculating a first feature value representing a feature value of the subject voice signal, selecting a group including pieces of the voice information associated with the subject identification information, from the first database, calculating degrees of similarity between the pieces of the voice information included in the selected group and the first feature value and a subject degree of similarity representing a degree of similarity between the voice information associated with the subject identification information, the voice information being stored in the second database, and the first feature value, calculating a rank of the subject degree of similarity in the calculated degrees of similarity, and when the rank is smaller than a given first rank, determining the subject speaker to be the authentic person.

Abstract: A speaker recognition device according to the present disclosure includes: an acoustic feature calculator that calculates, from utterance data indicating a voice of an obtained utterance, acoustic feature of the voice of the utterance; a statistic calculator that calculates an utterance data statistic from the calculated acoustic feature; a speaker feature extractor that extracts speaker feature of a speaker of the utterance data from the calculated utterance data statistic using a deep neural network (DNN); a similarity calculator that calculates a similarity between the extracted speaker feature and pre-stored speaker feature of at least one registered speaker; and a speaker recognizer that recognizes the speaker of the utterance data based on the calculated similarity.

Abstract: The information processing method in the present disclosure is performed as below. At least one speech segment is detected from speech input to a speech input unit. A first feature quantity is extracted from each speech segment detected, the first feature quantity identifying a speaker whose voice is contained in the speech segment. The first feature quantity extracted is compared with each of second feature quantities stored in storage and identifying the respective voices of registered speakers who are target speakers in speaker recognition. The comparison is performed for each of consecutive speech segments, and under a predetermined condition, among the second feature quantities stored in the storage, at least one second feature quantity whose similarity with the first feature quantity is less than or equal to a threshold is deleted, thereby removing the at least one registered speaker identified by the at least one second feature quantity.