Korea Electronics Technology Institute

Sa Im Shin

Jin Yea Jang

San Kim

Min Young Jung

Han Mu Park

Yoon Young Jeong

Bo Eun Kim

Chung Il Kim

There is provided a conversation method and system for operating a conversation model according to the presence or absence of related knowledge. A conversation method according to an embodiment may receive an input of a user utterance, may determine a conversation model based on an inputted user utterance content, may create a conversation content by using the determined conversation model, and may convert the created conversation content into a voice, and may output the voice. Accordingly, different conversation models may be operated according to the presence or absence of related knowledge, so that an empathic conversation may be generated instead of generating an inappropriate response in a knowledge-based conversation, and user's satisfaction on a conversation may be enhanced.

Conversation method and system for operating conversation models according to the presence or absence of related knowledge

The present invention relates to an image inpainting apparatus and an image inpainting method, the image inpainting apparatus including: a background inpainting part configured to generate a background-inpainted image by carrying out inpainting on a background with respect to an input image in which a region to be inpainted is set up; an object inpainting part configured to generate an object image by carrying out inpainting on an object; and an image overlapping part configured to generate an output image by causing the background-inpainted image and the object image, which are generated, to overlap each other.

Image inpainting apparatus and image inpainting method

There are provided a method and system for automatic augmentation of gloss-based sign language translation data. A system for automatic augmentation of sign language translation training data according to an embodiment includes: a database configured to store a sequence of sign language glosses and a sequence of spoken-language words in pairs; and an augmentation module configured to augment the pairs stored in the database. Accordingly, gloss-based training data of high quality may be acquired by performing automatic augmentation for gloss-based training data for sign language translation in an efficient method in terms of time and economic aspects, and eventually, accuracy of translation between sign language glosses and sentences may be enhanced.

Method and system for automatic augmentation of sign language translation in gloss units

There are provided a method and a system for automatically generating a back-channel in an interactive agent system. According to an embodiment of the disclosure, an automatic back-channel generation method includes: predicting a back-channel by analyzing an utterance of a user inputted in a back-channel prediction model; and generating the predicted back-channel, and the back-channel prediction model is an AI model that is trained to predict a back-channel to express from the utterance of the user. Accordingly, a back-channel is automatically generated by utilizing a back-channel prediction module which is based on a language model, so that a natural dialogue interaction with a user may be implemented in an interactive agent system, and quality of a dialogue service provided to a user may be enhanced.

Method and system for automatic back-channel generation in interactive agent system

There is a method for monitoring emotion and behavior occurring during a conversation with a user who is in need of protection. According to an embodiment, a user monitoring method receives an input of a user utterance and generates a conversation content by using a conversation model based on a user utterance content, converts the generated conversation content into a voice and outputs the voice, and recognizes emotion of the user by using an emotion analysis model based on the user utterance content and monitors the emotion. Accordingly, the method may monitor behavior/emotion of a user through a natural conversation while allowing a specialist/guardian to monitor an abnormal sign of a user who is in need of protection.

Method for monitoring emotion and behavior during conversation for user in need of protection

There are provided a method for segmenting a sign language video by gloss to recognize a sign language sentence, and a method for training. According to an embodiment, a sign language video segmentation method receives an input of a sign language sentence video, and segments the inputted sign language sentence video by gloss. Accordingly, there is suggested a method for segmenting a sign language sentence video by gloss, analyzing various gloss sequences from the linguistic perspective, understanding meanings robustly in spite of various changes in sentences, and translating sign language into appropriate Korean sentences.

Sign language video segmentation method by gloss for sign language sentence recognition, and training method therefor

This application relates to an adaptive inference system and an operation method therefor. In one aspect, the system includes a user terminal for collecting multi-modal information including at least visual information, voice information and text information. The system may also include an inference support device for receiving the multi-modal information from the user terminal, and inferring the intention of a user on the basis of pre-stored history information related to the user terminal, individualized information and the multi-modal information.

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Seoul, South Korea

Sa Im Shin