Kabushiki Kaisha Toshiba

Toshiba Digital Solutions Corporation

Toshiba Solutions Corporation

Tdk Corporation

Kenta Cho

Masanori Hattori

Naoki Kase

Naoki Iketani

Masayuki Okamoto

Yuzo Okamoto

Hideo Umeki

Kazuyuki Goto

Keisuke Nishimura

Toshiyuki Kano

Yasunari Miyabe

Masahisa Shinozaki

Sogo Tsuboi

Keisuke Sakanushi

Hisao Setoguchi

Shinichi Nagano

Kenta Sasaki

Megumi Aikawa

Kouji Yasuda

Masaru Suzuki

Takahiro Kawamura

Takuji Suzuki

Masaaki Kikuchi

Tomohiro Yamasaki

Chikashi Sugiura

Kouji Ueno

Sawa Fuke

Hisashi Hayashi

Tetsuya Gotou

Hiroyuki Tanaka

Koji Ueno

Kaoru Hirano

Hironobu Aoki

Guowei Zu

Junya Sasaki

Koji Yasuda

According to one embodiment, a recognition device includes storage and a processor. The storage is configured to store a first recognition model, a first data set, and tags, for each first recognition model. The processor is configured to acquire a second data set, execute recognition processing of the second recognition target data in the second data set by using the first recognition model, extract a significant tag of the tags stored in the storage in association with the first recognition model, based on the recognition processing result and the second correct data in the second data set, and create a second recognition model based on the acquired second data set and the first data set stored in the storage in association with the extracted tag.

Recognition device, method and storage medium

A component management device according to an embodiment includes a database, a component searching unit, and a component operating unit. In the database, components are registered. Input-output of each component is defined for type of the component. The component searching unit receives input of the names, or the input examples, or the evaluation data of components; searches for the components registered in the database, according to the input; and presents the search result. The component operating unit sends the input from an application, which uses the searched component, to a component and sends the output of the component to the application.

Component management device, component management method, and computer program product

An information processing device includes a divider and an identifier. The divider divides a plurality of sentences included in a processing target sentence set into a plurality of groups based on a supervised topic list representing a list of supervised topic name that is set in advance. The identifier identifies a topic name for each of the groups based on the supervised topic list.

Topic-identifying information processing device, topic-identifying information processing method, and topic-identifying computer program product

According to an embodiment, a conference information accumulating apparatus is for accumulating conference information. The apparatus includes a generator and a calculator. The generator is configured to generate a user interface screen either for creating minutes of a conference based on the conference information or for viewing the created minutes. The calculator is configured to calculate a correlation between a written text that is a unit in which the minutes are written and the conference information, based on a predetermined operation performed using the user interface screen by a minutes creator. The generator generates, upon detection of the conference information that is correlated with the written text, the user interface screen enabling a reference to the conference information.

Conference information accumulating apparatus, method, and computer program product

An interactive processing device according to an embodiment acquires one/more items' information for predetermined operation through interaction with a user, and includes one/more itemized-processing-units and an interaction-control-unit. The itemized-processing-units corresponds to the items. The interaction-control-unit controls the interaction collaboratively with the itemized-processing-units. The interaction-control-unit transmits user-input information to each itemized-processing-unit. Each itemized-processing-unit extracts a candidate for to-be-acquired information and transmits the candidate to the interaction-control-unit with likelihood information of being the to-be-acquired information. The interaction-control-unit determines a candidate having first-threshold-satisfying likelihood as information of an item corresponding to the candidate-transmitted itemized-processing-unit. When undetermined information item exists, the interaction-control-unit outputs inquiry for the item information. Each itemized-processing-unit is implemented by a general-purpose processor given corresponding-item name and an operation-parameter determining each itemized-processing-unit's operation. The general-purpose processing unit has a basic rule for extracting the candidate and calculating the likelihood using interactive knowledge corresponding to the to-be-acquired information type.

Interactive processing device and interactive processing system

A job execution control device according to an embodiment controls the execution of jobs defined according to job definitions; and includes a display control unit that controls the display of a UI screen for receiving user operations, and a job executing unit that executes jobs according to user operations performed using the UI screen and records a job execution history. The display control unit displays a job definition list in the UI screen and, when any one job definition is selected from the job definition list, displays, as input candidates, one or more already-executed jobs usable as the input for the job to be executed according to the selected job definition. When an already-executed job is selected from the input candidates, the job executing unit performs job execution according to the job definition selected from the job definition list, with the output of selected already-executed job serving as the input.

Job execution control device, job execution control method, and computer program product

According to an embodiment, a gait analysis device includes a measuring unit configured to measure a subject's motion; a determining unit configured to determine a walking start point in time at which the subject starts walking based on the subject's motion; a feature quantity calculator configured to, when the walking start point in time is determined, calculate a feature quantity of the subject's motion measured during a predetermined time period starting from the walking start point in time as a time period in which the subject's motion is not stabilized; and an estimating unit configured to estimate a subject's walking condition based on the feature quantity.

Gait analysis device and computer program product

According to an embodiment, a job execution control device controls execution of a job for receiving input data, applying processing thereto, and outputting output data. The device includes a job executor, a controller, a recorder, and a generator. The job executor executes a job and record a job execution history including the input and output data. The controller displays, on a display, a job screen for presenting information on the executed job to a user and for receiving a user operation for re-executing the executed job. The recorder records a job operation history regarding the user operation through the job screen. The generator generates a warning condition for input or output data of a job based on the histories. The controller appends to the job screen warning information associated with an executed job the input or output data of which satisfies the warning condition, among executed jobs.

Device, method, and computer program product for job execution control

According to an embodiment, a dictionary updating apparatus includes a candidate extraction unit, a selection control unit, and a word registration unit. The candidate extraction unit extracts, based on a recognition result text obtained by a voice recognition engine performing a voice recognition processing using a word dictionary and a correction result text obtained by correcting at least a part of the recognition result text, candidates of words to be additionally registered in the word dictionary. The selection control unit generates a selection screen on which the extracted candidates are displayed selectably and, at the same time, information indicating the influence on the voice recognition processing at least when the candidates are additionally registered in the word dictionary is displayed, and accepts an operation of selecting the candidates displayed on the selection screen. The word registration unit registers additionally the candidates selected on the selection screen in the word dictionary.

Dictionary updating apparatus, dictionary updating method and computer program product

An information processing device according to an embodiment includes a keyword extracting unit, a tag generating unit and a UI control unit. The keyword extracting unit extracts a keyword from time-series texts within a time range set by a user. The tag generating unit generates a tag corresponding to a time period from a first appearing time until a last appearing time of a same keyword appearing plural times within a duration set according to the time range. The UI control unit creates a UI screen including a first display area in which a time axis corresponding to the time range is displayed and a second display area in which the tag is displayed while causing the tag to correspond to the time period on the time axis, and resets, by selecting the tag, a time period of the selected tag in the time range to update the UI screen.

Information processing device, information processing method, and computer program product

According to an embodiment, an utterance presentation device includes an utterance recording unit, a voice recognition unit, an association degree calculation unit, and a UI control unit. The utterance recording unit is configured to record vocal utterances. The voice recognition unit is configured to recognize the recorded utterances by voice recognition. An association degree calculation unit is configured to calculate degrees of association of the recognized utterances with a character string specified from among character strings displayed in a second display region of a user interface (UI) screen having a first display region and the second display region. A UI control unit is configured to display voice recognition results of utterances selected based on the degrees of association in the first display region of the UI screen.

Utterance presentation device, utterance presentation method, and computer program product

According to an embodiment, a speech section detection device includes a reception unit and a detection unit. The reception unit is configured to receive, from an external device, a first voice signal that is a signal in which likelihood indicating a probability of speech is equal to or more than a first threshold. The detection unit is configured to detect, from the first voice signal, a second voice signal that is a signal of a section in which the likelihood is equal to or more than a second threshold that is larger than the first threshold.

Speech section detection device, voice processing system, speech section detection method, and computer program product

According to an embodiment, a server device includes a first registering unit, a second registering unit, and a providing unit. The first registering unit is configured to acquire first action information regarding an action performed by a first user from a client device, and register the first action information in an action information storage unit in which pieces of action information of users are stored in association with labels of the respective pieces of action information. The second registering unit is configured to specify at least one piece of action information similar to the first action information among the pieces of action information, and register the label associated with the specified piece of action information in the action information storage unit in association with the first action information. The providing unit is configured to provide the label associated with the first action information to the client device.

Server device, annotation system, annotation method, and computer program product

According to one embodiment, an information extracting method includes: collecting a text in which a keyword of interest appears, the keyword of interest, and a time of creation of the text; extracting a keyword included in the text except for the keyword of interest and configured to extract the time of creation; extracting the keyword having a time score obtained on the basis of an appearance frequency of the keyword in a time interval exceeding a first threshold value and a local score obtained from the appearance frequency of the keyword in a predetermined local area exceeding a second threshold value as a local hot word, and also extract the extracted time interval of the extracted keyword and the keyword of interest corresponding to the keyword; and storing the extracted local hot word, the time interval, and the keyword of interest.

Information extracting server, information extracting client, information extracting method, and information extracting program

An action acquiring unit acquires action information corresponding to operation information from a first storage unit for a first user, and stores acquired action information in a third storage unit. A receiving unit receives, via a network, action information of a second user from an external device. A situation acquiring unit acquires, from a second storage, a communication situation corresponding to received action information. A writing unit writes the action information of the first user indicated by the communication situation to the third storage unit, additionally.

Growing community of inventors

Tokyo, Japan

Kenta Cho