Clarion Co

Hitachi, Ltd.

Xanavi Informatics Corporation

Ricoh Company, Ltd.

Takeshi Homma

Takahiro Asai

Takashi Hasegawa

Kenichiro Morita

Hiroshi Hinohara

Hidekuni Annaka

Akinori Asahara

Hideki Shiro

Hiroaki Kokubo

Yasunari Obuchi

Hisashi Takahashi

Takashi Sumiyoshi

Takuya Soneda

Yohei Yamamoto

Nobuo Hataoka

Kaoru Maeda

Masahito Togami

Hirohiko Sagawa

Takuya Matsumoto

Mayu Hakata

Yohhei Ohmura

Norio Watarai

Hiroshi Shojima

Kazuaki Shima

Makoto Sugiyama

Yoshiyuki Mizuno

Masataka Motohashi

Qinghua Sun

Rui Zhang

Kouichirou Fukunaga

Amalia Istiqlali Adiba

The dialog device according to the present invention includes a prediction unitconfigured to predict an utterance length attribute of a user utterance in response to a the machine utterance, a selection unitconfigured to use the utterance length attribute to select, as a feature model for usage in an end determination of the user utterance, at least one of an acoustic feature model or a lexical feature model, and an estimation unitconfigured to estimate an end point in the user utterance using the selected model. By using this dialog device, it is possible to shorten the waiting time until a response is output to a user utterance by a machine, and to realize a more natural conversation between a user and a machine.

Dialog device, dialog method, and dialog computer program

A speech recognition apparatus includes a speech detection unit configured to detect a speech input by a user, an information providing unit configured to perform information provision to the user, using either first speech recognition information based on a recognition result of the speech by a first speech recognition unit or second speech recognition information based on a recognition result of the speech by a second speech recognition unit different from the first speech recognition unit, and a selection unit configured to select either the first speech recognition information or the second speech recognition information as speech recognition information to be used by the information providing unit on the basis of an elapsed time from the input of the speech, and change a method of the information provision by the information providing unit.

Speech recognition apparatus and speech recognition system

Disclosed is a method for synchronizing visual information and auditory information characterized by extracting visual information included in video, recognizing auditory information in a first language that is included in a speech in the first language, associating the visual information with the auditory information in the first language, translating the auditory information in the first language to auditory information in a second language, and editing at least one of the visual information with the auditory information in the second language so as to associate the visual information and the auditory information in the second language with each other.

Synchronization method for visual information and auditory information and information processing device

Example implementations described herein are directed to a dialog system with self-learning natural language understanding (NLU), involving a client-server configuration. If the NLU results in the client is not confident, the NLU will be done again in the server. In the dialog system, the human user and the system communicate via speech or text information. The examples of such products include robots, interactive voice response system (IVR) for call centers, voice-enabled personal devices, car navigation system, smart phones, and voice input devices in the work environments where the human operator cannot operate the devices by hands.

Dialog system with self-learning natural language understanding

An intention estimation equipment includes: a first training data group; a second training data group; a model creation unit that creates first and second statistical models that estimates an intention of an input text; an error data extraction unit that extracts, from the second training data group, training data corresponding to a text, of which an intention estimation result based on the first and the second statistical models is correct and erroneous, respectively, as error data; an opposite data extraction unit that extracts, from the second training data group, training data that is a cause for an intention estimation result of the error data based on the second statistical model becoming erroneous as opposite data; and a data correction unit that performs correction of the second training data group so that an influence of the error data or of the opposite data on creation of the statistical model is changed.

Intention estimation equipment and intention estimation system

The speech recognition result through the general-purpose server and that through the specialized speech recognition server are integrated in an optimum manner, thereby, a speech recognition function least in errors in the end being provided. The specialized speech recognition serveris constructed with the words contained in the user dictionary data in use as well as the performance of the general-purpose speech recognition serveris preliminarily evaluated with such user dictionary data. Based on such evaluation result, information related to which recognition results through the specialized and general-purpose speech recognition servers are adopted and to how the adopted recognition results are weighted to obtain an optimum recognition result is preliminarily retained in the form of a database. Upon executing recognition, an optimum recognition result is obtained by comparing the recognition results through the specialized and general-purpose servers with the parameter for recognition result integration

Speech recognition server integration device that is an intermediate module to relay between a terminal module and speech recognition server and speech recognition server integration method

A wireless communication terminal has input devices for inputting an operation content for operating an application, a communicator for transmitting the operation content input from the input devices to a server, and receiving a server processing result as a result of predetermined processing executed by the server, and a controller determining in accordance with the application as an operation target based on the operation content whether the operation based on the operation content input before interruption of the communication is continued after the communication with the server is recovered, when the communication with the server is interrupted after the operation content is input from the input means and before a server processing result corresponding to the operation content is received from the server.

Wireless communication terminal and operating system

In prediction of a speech quality evaluation score such as a phone speech, even when a background noise exists, a subjective opinion score is predicted with high precision. A speech quality evaluation system that outputs a predicted value of the subjective opinion score for an evaluation speech such as a far-end speech of a phone, includes a speech distortion calculation unit that conducts, after calculating frequency characteristics of the evaluation speech, a process of subtracting given frequency characteristics from frequency characteristics of the evaluation speech, and calculates the speech distortion on the basis of the frequency characteristics after the subtracting process has been conducted, and a subjective evaluation prediction unit that calculates the predicted value of the subjective opinion score on the basis of the speech distortion.

Speech quality evaluation system and storage medium readable by computer therefor

An information retrieving apparatus is provided which has excellent usability using voice inputs. Search queries input by a user via a touch panel or the like are used as voice recognition vocabulary. Further, the search queries are edited by use of morpheme information and/or other information in a database, thereby providing such voice recognition vocabulary that can be easily uttered by the user.

Information retrieving apparatus

An object of the present invention is to provide a technique of an information terminal that allows more efficient utilization of high-level searching functions. The information terminal is provided with an audio input accepting unit to accept an input of speech information, a communication unit to establish communication with a predetermined server device via a network, an output unit, a POI specifying unit to transmit the speech information accepted by the audio input accepting unit to the server device and receive information specifying a candidate of a POI (Point Of Interest) associated with the speech information, a POI candidate output unit to output to the output unit, the information specifying the candidate of the POI received by the POI specifying unit, and a route searching unit to accept a selective input of the information specifying the candidate of the POI, and search for a route directed to the POI.

Information terminal, server device, searching system, and searching method thereof

A voice data transferring device intermediates between an in-vehicle terminal and a voice recognition server. In order to check a change in voice recognition performance of the voice recognition server, the voice data transferring device performs a noise suppression processing on a voice data for evaluation in a noise suppression module; transmits the voice data for evaluation to the voice recognition server; and receives a recognition result thereof. The voice data transferring device sets a value of a noise suppression parameter used for a noise suppression processing or a value of a result integration parameter used for a processing of integrating a plurality of recognition results acquired from the voice recognition server, at an optimum value, based on the recognition result of the voice recognition server. This makes it possible to set a suitable parameter even if the voice recognition performance of the voice recognition server changes.

Voice data transferring device, terminal device, voice data transferring method, and voice recognition system

The present invention provides a technique, by speech input, to specify a location, even when a name or the like of the location is not accurately known, while driving. An in-vehicle apparatus mounted in a vehicle has a speech recognition function, and stores information shown on a signboard and a noun substitute in storage. If speech inputted from a speech input device includes a noun substitute and further includes at least a part of the information shown on the signboard, a response is decided according to the information shown on the signboard, and the decided response is outputted from an output device.

In-vehicle apparatus

It is provided a speech recognition system installed in a terminal coupled to a server via a network. The terminal holds map data including a landmark. The speech recognition system manages recognition data including a word corresponding to a name of the landmark, and sends update area information and updated time to the server. The server generates, when recognition data of the area of the update area information sent from the terminal has been changed after updated time, difference data between latest recognition data and recognition data of the update area information at a time of the updated time, and sends the generated difference data and map data of the update area information to the terminal. The terminal updates the map data based on the map data sent from the server. The speech recognition system updates the recognition data managed by the terminal based on the difference data.

Speech recognition system and data updating method

Provided is an information retrieval method including: retrieving, by a computer, a name including input characters from a database for storing the name, an attribute word associated with the name, and a degree of relevance between the name and the attribute word; outputting the retrieved name as a candidate name; and extracting an attribute word associated with the candidate name, the extracting including: calculating a degree of independency indicating a degree of difference between the extracted attribute words, a degree of coverage indicating an extent to which the combination of the extracted attribute words covers the candidate names, and a degree of equality of a number of corresponding candidate names for each attribute word; and calculating a score of the combination of the attribute words based on at least one of the independency, the coverage and the equality to output the combinations of the attribute words to an output unit.

Growing community of inventors

Tokyo, Japan

Takeshi Homma