Honda Motor Co., Ltd.

Randy Gomez

Kazuhiro Nakadai

Keisuke Nakamura

Yu Fang

A control unit is configured to monitor knowledge data in which element information relating to an operation environment of a robot is integrated and, when the element information of a predetermined item changes, identify a salient feature relating to the element information of the item, and operate the robot on the basis of an operation plan relating to a salient feature identified from related data representing at least a relevance between the salient feature and the operation plan of the robot.

Control device, robot system, control method, and storage medium

A communication robot includes an auditory information processing portion configured to recognize a volume of voice collected by a sound collection portion and generate an auditory attention map by projecting a sound position in a three-dimensional space onto a two-dimensional attention map in which the robot is located at a center, a visual information processing portion configured to generate a visual attention map using a face detection result obtained by detecting a face of a person from an image captured by an imaging portion and a motion detection result obtained by detecting a motion of the person, an attention map generation portion configured to generate an attention map by integrating the auditory attention map and the visual attention map, and a motion processing portion configured to control eyeball movements and motions of the communication robot using the attention map.

Communication robot, communication robot control method, and program

A social ability generation device includes a perception unit that acquires person information on a person, extracts feature information on the person from the acquired person information, perceives an action that occurs between a communication device performing communication and the person, and perceives an action that occurs between people, a learning unit that multimodally learns an emotional interaction of the person using the extracted feature information on the person, and an operation generation unit that generates a behavior on the basis of the learned emotional interaction information of the person.

Behavior control device, behavior control method, and program

A separation unit separates voice signals of a plurality of channels into an incoming component in each incoming direction, a selection unit selects a statistic corresponding to an incoming direction of the incoming component separated by the separation unit from a storage unit which stores a predetermined statistic and a voice recognition model for each incoming direction, an updating unit updates the voice recognition model on the basis of the statistic selected by the selection unit, and a voice recognition unit recognizes a voice of the incoming component separated using the voice recognition model.

Voice processing device, voice processing method, and voice processing program

A speech processing device includes a sound source localization unit configured to determine a sound source position from acquired speech, a reverberation suppression unit configured to suppress a reverberation component of the speech to generate dereverberated speech, a feature quantity calculation unit configured to calculate a feature quantity of the dereverberated speech, a feature quantity adjustment unit configured to multiply the feature quantity by an adjustment factor corresponding to the sound source position to calculate an adjusted feature quantity, and a speech recognition unit configured to perform speech recognition using the adjusted feature quantity.

Speech processing device, speech processing method, and speech processing system

A speech processing device includes a distance acquisition unit configured to acquire a distance between a sound collection unit configured to record speech from a sound source and the sound source, a reverberation characteristic estimation unit configured to estimate a reverberation characteristic based on the distance acquired by the distance acquisition unit, a correction data generation unit configured to generate correction data indicating a contribution of a reverberation component from the reverberation characteristic estimated by the reverberation characteristic estimation unit; and a dereverberation unit configured to remove the reverberation component from the speech by correcting the amplitude of the speech based on the correction data.

Speech processing device, method, and program for correction of reverberation

A speech processing apparatus that collects sound signals. With each of the collected sound signals, the apparatus may estimate a direction of a sound source, and select an extension filter that is applied to each sound signal. The extension filter may correspond to the estimated sound source of each of the sound signals. In addition, each of the sound signals may be corrected using the extension filter, and a reverberation reduction of the corrected sound signals and the collected sound signals may be performed.

Speech processing apparatus, method, and program of reducing reverberation of speech signals

A speech processing device includes a speech recognition unit configured to sequentially recognize recognition segments from an input speech, a reverberation influence storage unit configured to store a degree of reverberation influence indicating an influence of a reverberation based on a preceding speech to a subsequent speech subsequent to the preceding speech and a recognition segment group including a plurality of recognition segments in correlation with each other, a reverberation influence selection unit configured to select the degree of reverberation influence corresponding to the recognition segment group which includes the plurality of recognition segments recognized by the speech recognition unit from the reverberation influence storage unit, and a reverberation reduction unit configured to remove a reverberation component weighted with the degree of reverberation influence from the speech from which at least a part of recognition segments of the recognition segment group is recognized.

Speech processing device, speech processing method, and speech processing program

A speech processing device includes a reverberation characteristic selection unit configured to correlate correction data indicating a contribution of a reverberation component based on a corresponding reverberation characteristic with an adaptive acoustic model which is trained using reverbed speech to which a reverberation based on the corresponding reverberation characteristic is added for each of reverberation characteristics, to calculate likelihoods based on the adaptive acoustic models for a recorded speech, and to select correction data corresponding to the adaptive acoustic model having the calculated highest likelihood, and a dereverberation unit configured to remove the reverberation component from the speech based on the correction data.

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Wako, Japan

Randy Gomez