Toyota Jidosha Kabushiki Kaisha

Tokyo Metropolitan University

Nara Institute of Science and Technology

Meijo University

Tomoya Takatani

Mina Funazukuri

Akira Ogawa

Ryuji Funayama

Jun Sato

Hitoshi Yamada

Narimasa Watanabe

Yuichi Tanaka

Osami Yamamoto

Kensaku Asahi

Hideki Banno

Keiichi Yamada

Hiroyuki Hoshino

Toru Yamaguchi

Youhei Wakisaka

Yasuo Katsuhara

Mamoru Komachi

Shin Kanouchi

Tomoya Ogata

Jani Even

Michimasa Inaba

Hayato Yamaguchi

Eri Shimokawara

Yuya Nawate

Kazuki Hirata

A state prediction system includes a controller. The controller is configured to acquire a current state value indicating a current state of a targeted individual in a group. The controller is configured to acquire a state propagation amount indicating a state amount propagated from another person in the group to the targeted individual by communication between the targeted individual and the other person. The controller is configured to predict a future state value indicating a future state of the targeted individual from the acquired current state value of the targeted individual and the acquired state propagation amount.

State prediction system, member determination system, and state prediction method

A dialogue apparatus includes a display unit, a first dialogue control unit configured to display a first character on the display unit and simulate a speech function of an external communication robot capable of having a dialogue to conduct the dialogue with a user, a second dialogue control unit configured to display a second character on the display unit and conduct the dialogue so as to mediate the dialogue between the user and the first dialogue control unit, and a transmission unit configured to transmit, to the external communication robot, dialogue information about the dialogue conducted by the first dialogue control unit and the second dialogue control unit.

Dialogue apparatus and control program for dialogue apparatus

An interaction system capable of making a user form an attachment to a particular interaction model is provided. A first interaction model is configured so that a communication function expressed to a user is improved from an initial state through communication with the user. A second interaction model is configured to interact with the user by a communication function better than the initial state of the first interaction model, and to make a speech for the user, the speech being made so as to support the improvement of the communication function of the first interaction model.

Interaction system, interaction method, and program

An interest determination system includes a data acquisition unit configured to acquire a first data group indicating a feature of each word contained in user's dialog information; a first learning unit configured to learn by using a first input and output values, the first input value being set to a data group that associates the first data group with a second data group indicating a feature of a predetermined word, the first output value being set to information indicating whether there is a user's interest; and a determination unit configured to, when a data group that associates a third data group indicating a feature of a word to be determined with the first data group has been input to the first learning unit, determine whether there is a user's interest in the word to be determined, based on an output value output from the first learning unit.

Interest determination system, interest determination method, and storage medium

An output sentence generation apparatus for automatically generating one output sentence from a plurality of input keywords includes a candidate sentence generator incorporating a learned neural network configured to take in the plurality of keywords and generate a plurality of candidate sentences each including at least some of the plurality of keywords, and an evaluation outputter configured to calculate an overlap ratio for each of the plurality of candidate sentences generated by the candidate sentence generator and increase an evaluation of the candidate sentence with a small overlap ratio to thereby determine an output sentence from the plurality of candidate sentences. The overlap ratio is the number of occurrences of an overlapping word with respect to the number of occurrences of all words included in the corresponding candidate sentence.

Output sentence generation apparatus, output sentence generation method, and output sentence generation program

A language storage method according to one aspect of the present invention includes vectorization steps for vectorizing language accumulated in a dialog log database using a word vector created in advance for each word; determination step for determining whether to employ the language that has been vectorized as response data; and a storage step for accumulating the language that has been determined to be employed as the response data in a response database, in which a dimension reduction step for reducing the number of dimensions of the vector of the language vectorized in the vectorization step is included between the vectorization step and the determination step, and in the determination step, it is determined which one of an employed group and an unemployed group the vector of the language whose number of dimensions has been reduced in the dimension reduction step belongs to.

Language storage method and language dialog system

A voice acquisition system includes a plurality of mobile objects each of which includes one or more microphones and is movable around a sound source; a sound source number estimating unit which estimates the number of sound sources in a vicinity of any of the mobile objects; and a control unit which controls positions of the mobile objects, wherein the control unit controls, based on the number of sound sources in a vicinity of a first mobile object, a position of a second mobile object which differs from the first mobile object, and the voice acquisition system acquires voice using both a microphone included in the first mobile object and a microphone included in the second mobile object.

Voice acquisition system and voice acquisition method

A sound source detecting system that detects a predetermined sound source on the basis of sounds collected by sound collectors includes: a noise extracting unit that extracts a noise from signals of the collected sounds; and a noise suppressing unit that suppresses a signal component of the noise extracted by the noise extracting unit from the signals of the collected sounds. The sound source detecting unit detects a location of the predetermined sound source, such as an approaching vehicle, using information about the sounds having the signals of which the noise is suppressed.

Sound source detecting system and sound source detecting method

To provide a microphone unit capable of acquiring a target sound with high accuracy. A microphone unit in accordance with an exemplary embodiment of the present invention includes a plurality of microphones, a microphone substrate on which the plurality of microphones are mounted, and a vibration observation device disposed at roughly a center of gravity of a shape that is formed by connecting centers of certain adjacent microphones among the plurality of microphones.

Microphone unit and sound collecting device

Provided are a signal separating apparatus and a signal separating method capable of solving the permutation problem and separating user speech to be extracted. The signal separating apparatus separates a specific speech signal and a noise signal from a received sound signal. First, a joint probability density distribution estimation unit of a permutation solving unit calculates joint probability density distributions of the respective separated signals. Then, a classifying determination unit of the permutation solving unit determines classifying based on shapes of the calculated joint probability density distributions.

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Nissin, Japan

Tomoya Takatani