Kabushiki Kaisha Toshiba

Toshiba Software Engineering Corp.

Yoichi Takebayashi

Mika Fukui

Hiroyuki Tsuboi

Miwako Doi

Hiroshi Kanazawa

Yoshifumi Nagata

Shigenobu Seto

Hideaki Shinchi

Shinichi Tanaka

Koji Yamaguchi

Isamu Iwai

Kouichi Sasaki

Kazuyuki Gotoh

Yasuki Yamashita

Hideki Hashimoto

Akira Morishita

Kohei Momosaki

Seiji Miike

Yasuko Nakayama

Yoichi Sadamoto

Katsuyoshi Nagayasu

Yoshihisa Ohtake

Masaru Suzuki

Satoshi Ito

Kenichi Maeda

Hiroshi Matsuura

Kazuo Sumita

Takayuki Miyazawa

Toshinari Takahashi

Toru Imai

Yuzo Tamada

Hisako Tanaka

Kimihito Takeda

Kenji Ono

Hiroyuki Chimoto

Toshihiko Manabe

Yoshiaki Kurosawa

Yasushi Kawakura

Yoshikuni Matsumura

Hiroshi Mizoguchi

Etsuo Ito

Hidenori Shinoda

Hideo Numagami

Iwamu Iwai

David Gleaves

Yasuyo Shibazaki

In a short range radio communication headset, signals transmitted by the short range radio communications are received while direct sounds propagated from an external are detected. Then, a digital signal adaptation processing using either received signals or the direct sounds as reference signals are applied, and a ratio between the received signals and the direct sounds is controlled by correlating the reference signals and another one of the received signals and the direct sounds that are not used as the reference signals and extracting necessary components.

Communication system using short range radio communication headset

In a stream processing system, a stream partitioned by a prescribed time interval is extracted as a partial stream, from one or more real streams formed by continuous time series data, according to playback position information or timestamps of the real streams, and a virtual stream is produced by concatenating one or more partial streams so as to enable a continuous playback. Then, a stream partitioned by another prescribed time interval is extracted as a partial virtual stream, from the virtual stream, according to playback position information or timestamps of the virtual stream, and a meta information related to a content of the partial virtual stream is stored in relation to the partial virtual stream.

Stream processing system with function for selectively playbacking arbitrary part of ream stream

In a communication recording system using a headset with a radio communication function which transmits the first speech signal and receives the second speech signal by radio communications, the headset is provided with a time information acquisition unit for acquiring a time information indicating occurrence times of the first speech signal and the second speech signal, an information production unit for producing a recording information to be stored in which the time information is set in correspondence to the first speech signal and the second speech signal, and a memory unit for storing the recording information.

Headset with radio communication function and communication recording system using time information

An information sharing system using a computer so as to allow a plurality of users to share disclosed information, the system comprising, input section for receiving responses to the disclosed information from references of the disclosed information, evaluation information generation section for totalizing and processing the responses to generate evaluation information and storing the evaluation information after correlating it with the disclosed information, and evaluation information notifying section for presenting the evaluation information generated by the evaluation information generation section.

Information sharing system and computer program product for causing computer to support the information sharing system

Time series signals are recognized by extracting a multiplicity of candidate feature vectors characterizing an individual time series signal without fixing a boundary for the individual time series signal, and calculating similarity values for each of the multiplicity of candidate feature vectors and the reference patterns stored in the recognition dictionary, from which one reference pattern for which the similarity value is greater than a prescribed threshold value is selected as a recognition result. New reference patterns to be stored in the recognition dictionary are learned by artificially synthesizing signal patterns with variations for learning; extracting feature vectors for learning from the recognition results and the similarity values obtained by the recognizing step from the signal patterns with variations for learning; and obtaining new reference patterns from the feature vectors for learning extracted by the extracting step.

Time series signal recognition with signal variation proof learning

A computer-understandable knowledge base for accumulating computer-understandable task knowledge and a know-how knowledge base for accumulating know-how knowledge understandable for a human being are provided. In accordance with, for example, a result of the process for solving a problem which has been performed by the computer-understandable knowledge base 1, know-how knowledge relating to the problem solution is automatically retrieved and presented. Since know-how knowledge relating to the problem solution is automatically retrieved and presented in accordance with the state of the problem solving process which has been performed by the computer-understandable knowledge base, a user is able to efficiently make a reference to required know-how knowledge without a complicated process for conditions for retrieving the know-how knowledge. Even if a problem cannot be solved by the computer-understandable knowledge base, the know-how knowledge is used to guide the problem solution.

Computer system for interactive help using human-understandable

A data storage means stores data in a predetermined information form. An information retrieval means retrieves the data stored in the data storage means. A reception means receives an information disclosure demand from a demander, a response rule storage means for storing general knowledge for generating a response responding to the demander and a personal relationship information associated with a unique personal relationship between a user having the data on an information provider side and a user on an information demander side. A response plan formation means, responsive to the demand received by the reception means, plans a response for exhibiting, to the information demander, data obtained by causing the retrieval means to retrieve the data stored in the data storage means on the basis of the knowledge and the personal relationship information stored in the response rule storage means. A response generation means generates the response to the information demander in accordance with the plan formed by the response plan formation means.

Information disclosing apparatus and multi-modal information

A document detection system capable of detecting a desired document from a large number of documents easily and accurately in which the user can make a judgement concerning the appropriateness of the detection result quickly. In the system, those documents which contain a semantic structure of a detection command containing natural language expressions entered by a user are detected. Also, the keywords of each document can be extracted from the summary of each document and those documents whose keywords match with detection keywords specified by a user can be detected. Also, the summary of each detected document can be automatically generated according to text structures of each detected document and displayed along with the detected document itself. Also, the detection processing can be carried out with respect to the summaries of the documents instead of the documents themselves.

Document detection system with improved document detection efficiency

Low- and high-dimensional feature parameters are obtained by analyzing a speech pattern to be recognized. A word spotting section extracts a plurality of approximate word feature vector candidates representing word features from the low-dimensional feature parameter without fixing word boundaries. Start and end points are detected for each of the word feature vector candidates. Detail word feature vector candidates are extracted from the high-dimensional feature parameter in accordance with the detected start and end points. A recognition dictionary stores reference patterns with which the detail word feature vector candidates are matched. A pattern matching section calculates similarity values between each of the detail word feature vector candidates and the reference patterns stored in the recognition dictionary. A recognition result selects reference patterns stored in the recognition dictionary when its similarity value is greater than a prescribed threshold value.

Word spotting in a variable noise level environment

A data retrieval system capable of carrying out the retrieval using the secondary information of the primary data to be retrieved such as environmental information or structural information as the retrieval key. In the system, the primary data which are filing target to be stored and retrieved are stored in a first memory while secondary information associated with the primary data, which are not directly related with data content of the primary data, are stored in a second memory in correspondence to the primary data stored in the first memory. Then, when a retrieval key specifying a desired retrieval of the primary data from the first memory is entered, the secondary information is selected from the second memory in accordance with the retrieval key, and the primary data corresponding to the secondary information selected in accordance with the retrieval key is retrieved and outputted as a retrieval result.

Data retrieval system using secondary information of primary data to be

A speech recognition interface system capable of handling a plurality of application programs simultaneously, and realizing convenient speech input and output modes which are suitable for the applications in the window systems and the speech mail systems. The system includes a speech recognition unit for carrying out a speech recognition processing for a speech input made by a user to obtain a recognition result; a program management table for managing program management data indicating a speech recognition interface function required by each application program; and a message processing unit for exchanging messages with the plurality of application programs in order to specify an appropriate recognition vocabulary to be used in the speech recognition processing of the speech input to the speech recognition unit, and to transmit the recognition result for the speech input obtained by the speech recognition unit by using the appropriate recognition vocabulary to appropriate ones of the plurality of application programs, according to the program management data managed by the program management table.

Speech recognition interface system suitable for window systems and

A speech dialogue system capable of realizing natural and smooth dialogue between the system and a human user, and easy maneuverability of the system. In the system, a semantic content of input speech from a user is understood and a semantic content determination of a response output is made according to the understood semantic content of the input speech. Then, a speech response and a visual response according to the determined response output are generated and outputted to the user. The dialogue between the system and the user is managed by controlling transitions between user states during which the input speech is to be entered and system states during which the system response is to be outputted. The understanding of a semantic content of input speech from a user is made by detecting keywords in the input speech, with the keywords to be detected in the input speech limited in advance, according to a state of a dialogue between the user and the system.

Speech dialogue system for facilitating improved human-computer

In the system, a speech input uttered by a human is received by a microphone which outputs microphone output signals. The speech input received by the microphone is then recognized by a speech recognition unit, and a synthetic speech response appropriate for the speech input recognized by the speech recognition unit is generated and outputted from a loudspeaker to the human. In recognizing the speech input, the speech recognition unit receives input signals in which the synthetic speech response, outputted from the loudspeaker and then received by the microphone, is cancelled from the microphone output signals.

Speech dialogue system for realizing improved communication between user

A speech recognition apparatus comprises a speech input unit for receiving an input speech signal, analyzing it, and outputting a speech feature parameter series, a speech recognition unit for extracting a speech feature vector from the parameter series, and matching it with a plurality of predetermined words to output a series of word candidates used as keywords, a syntactic analysis unit for analyzing the series of the word candidates as the keywords according to syntactic limitation, and generating a sentence candidate.

Speech recognition apparatus using syntactic and semantic analysis

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Yokohama, Japan

Yoichi Takebayashi