Kabushiki Kaisha Toshiba

Toshiba Tec Kabushiki Kaisha

Taira Ashikawa

Kosei Fume

Masayuki Ashikawa

Hiroshi Fujimura

Kenji Iwata

Kouta Nakata

Kouji Ueno

Tomoo Ikeda

Osamu Nishiyama

Masahiro Morita

Takashi Masuko

Satoshi Oyama

Shigeo Uchida

Toru Taniguchi

Katsuhito Mochizuki

Yuka Kuroda

Yoshiaki Mizuoka

Koji Ueno

Terufumi Morishita

According to one embodiment, a subtitle generating apparatus includes processing circuitry and a display. The processing circuitry is configured to sequentially acquire texts from voice recognition results. The processing circuitry is configured to store the texts as archive datasets. The processing circuitry is configured to estimate a split position and a concatenation position of the texts from one or more of the archive datasets, and generate a subtitle text from said one or more of the archive datasets based on the split position and the concatenation position. The processing circuitry is configured to update the archive datasets based on the split position and the concatenation position. The display is configured to display the subtitle text.

Subtitle generating apparatus, subtitle generating method, and storage medium

According to one embodiment, a speech recognition error correction apparatus includes a correction network memory and an error correction circuitry. The error correction circuitry calculates a difference between a speech recognition result string of an error correction target, which is a result of performing speech recognition on a new series of speech data, and a correction network, where a speech recognition result string and a correction result by a user for the speech recognition result string are associated, and when a value indicating the difference is equal to or less than a threshold, perform error correction on a speech recognition error portion in the speech recognition result string of the error correction target by using the correction network to generate a speech recognition error correction result string.

Speech recognition error correction apparatus

An apparatus for correcting a character string in a text of an embodiment includes a first converter, a first output unit, a second converter, an estimation unit, and a second output unit. The first converter recognizes a first speech of a first speaker, and converts the first speech to a first text. The first output unit outputs a first caption image indicating the first text. The second converter recognizes a second speech of a second speaker for correcting a character string to be corrected in the first text, and converts the second speech to a second text. The estimation unit estimates the character string to be corrected, based on text matching between the first text and the second text. The second output unit outputs a second caption image indicating that the character string to be corrected is to be replaced with the second text.

Apparatus, method, and computer program product for correcting speech recognition error

According to one embodiment, a microphone cooperation device includes a first device including a first microphone and a first speaker, and a second device including a second microphone and a second speaker. The first device and the second device are capable of a first action of joining a group of devices when the second microphone receives a first sound wave emitted from the first speaker.

Microphone cooperation device

A summary generating device includes a featural script extracting unit, a segment candidate generating unit, and a structuring estimating unit. The featural script extracting unit extracts featural script information of the words included in text information. Based on the extracted feature script information, the segment candidate generating unit generates candidates of segments that represent the constitutional units for the display purpose. Based on the generated candidates of segments and based on an estimation model for structuring, the structuring estimating unit estimates structure information containing information ranging from information of a comprehensive structure level to information of a local structure level.

Summary generating device, summary generating method, and computer program product

A transliteration support device according to an embodiment includes an acquisition unit, an extraction unit, a generation unit, and a reproduction unit. The acquisition unit acquires a text to be transliterated. The addition unit adds a transliteration tag indicating a transliteration setting of the text to the text. The extraction unit extracts a transliteration pattern in which a frequent appearance transliteration setting frequently appearing in the transliteration settings indicated by the transliteration tags and an applicable condition when the frequent appearance transliteration setting is applied to the text are in association with each other. The generation unit produces a synthesized voice using the transliteration pattern. The reproduction unit reproduces the produced synthesized voice.

Transliteration support device, transliteration support method, and computer program product

According to an embodiment, a conference support system includes a recognizer, a classifier, a first caption controller, a second caption controller, and a display controller. The recognizer is configured to recognize text data corresponding speech from a speech section and configured to distinguish between the speech section and a non-speech section in speech data. The classifier is configured to classify the text data into first utterance data representing a principal utterance and second utterance data representing another utterance. The first caption controller is configured to generate first caption data for displaying the first utterance data without waiting for identification of the first utterance data to finish. The second caption controller is configured to generate second caption data for displaying the second utterance data after identification of the second utterance data finishes. The display controller is configured to control a display of the first caption data and the second caption data.

Conference support system, conference support method, and computer program product

A correction system of the embodiment includes an interface system, a calculator, a generator, and a display controller. The interface system receives correction information for correcting a voice recognition result. The calculator estimates a part of the voice recognition result to be corrected and calculates a degree of association between the part to be corrected and the correction information. The generator generates corrected display information comprising at least one of the correction information and the part to be corrected using a display format corresponding to the degree of association. The display controller outputs the corrected display information on a display.

Correction system, method of correction, and computer program product

According to an embodiment, a reading-aloud information editing device includes an acquirer, an analyzer, a first generator, a second generator, and an extractor. The acquirer is configured to acquire an edit region including a text added with reading-aloud information from a document. The analyzer is configured to analyze a document structure of the edit region. The first generator is configured to generate one or more condition patterns by abstracting the edit region on the basis of the document structure. The second generator is configured to generate an extraction condition that is for extracting a text from the document and includes at least one of the condition patterns. The extractor is configured to extract a text suitable for the extraction condition from the document.

Reading-aloud information editing device, reading-aloud information editing method, and computer program product

According to an embodiment, a conference support apparatus includes a recognizer, a detector, a summarizer, and a subtitle generator. The recognizer is configured to recognize speech in speech data and generate text data. The detector is configured to detect a correction operation on the text data, the correction operation being an operation of correcting character data that has been incorrectly converted. The summarizer is configured to generate a summary relating to the text data subsequent to a part to which the correction operation is being performed, among the text data, when the correction operation is being detected. The subtitle generator is configured to generate subtitle information corresponding to the summary when the correction operation is being detected, and configured to generate subtitle information corresponding to the text data except when the correction operation is being detected.

Conference support apparatus, conference support method, and computer program product

According to an embodiment, a memory controller stores, in a memory, character strings in voice text obtained through voice recognition on voice data, a node index, a recognition score, and a voice index. A detector detects reproduction section of the voice data. An obtainer obtains reading of a phrase in a text written down from the reproduced voice data, and obtains insertion position of character strings. A searcher searches for a character string including the reading. A determiner determines whether to perform display based on the recognition score corresponding to the retrieved character string. A history updater stores, in a memory, candidate history data indicating the retrieved character string, the recognition score, and the character insertion position. A threshold updater decides on a display threshold value using the recognition score of the candidate history data and/or the recognition score of the character string selected by a selector.

Information processing device, method and computer program product for processing voice recognition data

According to an embodiment, a text generator includes a recognizer, a selector, and a generation unit. The recognizer is configured to recognize an acquired sound and obtain recognized character strings in recognition units and confidence levels of the recognized character strings. The selector is configured to select at least one of the recognized character strings used for a transcribed sentence on the basis of at least one of a parameter about transcription accuracy and a parameter about a workload needed for transcription. The generation unit is configured to generate the transcribed sentence using the selected recognized character strings.

Text generator, text generating method, and computer program product

According to an embodiment, an information processing apparatus includes a dividing unit, an assigning unit, and a generating unit. The dividing unit is configured to divide speech data into pieces of utterance data. The assigning unit is configured to assign speaker identification information to each piece of utterance data based on an acoustic feature of the each piece of utterance data. The generating unit is configured to generate a candidate list that indicates candidate speaker names so as to enable a user to determine a speaker name to be given to the piece of utterance data identified by instruction information, based on operation history information in which at least pieces of utterance identification information, pieces of the speaker identification information, and speaker names given by the user to the respective pieces of utterance data are associated with one another.

Information processing apparatus for associating speaker identification information to speech data

According to one embodiment, the image processing apparatus includes a printing control unit, an image reading unit, an extracting unit, a difference image extracting unit, and a determination unit. The printing control unit controls printing of a plurality of pages on one sheet of paper according to a print setting information which indicates a printing form, and printing of a code indicating the print setting information on the paper. The image reading unit read the paper. The extracting unit extracts the code from the read image. The difference image extracting unit extracts a difference image between the printed image and the read image.

Growing community of inventors

Kawasaki Kanagawa, Japan

Taira Ashikawa