Abstract: A method and apparatus for controlling a massage chair have been disclosed. The method for controlling a massage chair comprises extracting multimedia information, detecting an action item, and controlling an action item. According to the present disclosure, the timing of the multimedia effect and the timing of the action item may be synchronized based on analysis using a deep neural network model through a 5G network.

Abstract: A method and apparatus for controlling a device according to an embodiment of the present disclosure may be based on a speech feature of a user reflecting the Lombard effect so as to operate a device located far away from the user, among a plurality of electronic devices. As such, even when the user calls a device located far away from the user without any separate context information, speech recognition neural networks and weight calculation neural networks may be selected and used to operate the device located far away from the user, and reception of a speech signal of the user calling a device located far away from the user may be performed in an Internet of Things (IoT) environment using a 5G network.

Abstract: Disclosed are a speech recognition method and a speech recognition device, in which speech recognition is performed by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm provided therein. According to an embodiment of the present disclosure, the speech recognition method includes buffering an inputted spoken utterance, determining whether a preset wake-up word is present in the spoken utterance by comparing the buffered spoken utterance to the preset wake-up word, and in response to the preset wake-up word in the spoken utterance, activating a speech recognition function and isolating, from the spoken utterance, a spoken sentence as a voice command without the wake-up word, and processing the spoken sentence and outputting a processing result.

Abstract: Disclosed are a speech recognition device and a speech recognition method which perform speech recognition by executing an artificial intelligence (AI) algorithms and/or a machine learning algorithm installed thereon, to communicate with other electronic devices and an external server in a 5G communication environment. The speech recognition method according to an embodiment of the present disclosure may include converting a series of spoken utterance signals to a text item, extracting a discordant named-entity that is discordant with a parent domain inferred form the text, calculating probabilities of candidate words associated with the discordant named-entity based on calculated distances between a term representing the parent domain and each candidate word associated with the discordant named-entity, and based on the calculated probabilities, modifying the discordant named-entity in the text to one of the candidate words associated with the discordant named-entity.

Abstract: Disclosed are an information providing device and an information providing method, which provide information enabling a conversation with a user by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet-of-Things. An information providing method according to one embodiment of the present disclosure includes gathering first situational information from a home monitoring device, gathering, from the first electronic device, second situational information corresponding to the first situational information, gathering, from the home monitoring device, third situational information containing a behavioral change of the user after gathering the first situational information, generating a spoken sentence to provide to the user on the basis of the first situational information to the third situational information, and converting the spoken sentence to spoken utterance information to be output to the user.

Abstract: Disclosed are a speech recognition device and a speech recognition method, which perform speech recognition by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm provided therein, and which can communicate with other electronic devices and an external server in a 5G communication environment.

Abstract: The present disclosure discloses a brake control system for use in a vehicle and a control method thereof. A brake control system may be configured to include a brake pad for braking the vehicle by pressing a brake disc provided in the vehicle, a measuring apparatus for measuring the vehicle speed, the wear level of the brake pad, the traveling distance of the vehicle, the braking distance of the vehicle, and the braking pressure applied by the brake pad to the brake disc at braking, and a controller connected with the measuring apparatus and for controlling an operation of the brake pad.

Abstract: The present invention relates to a smart lighting and an operation method thereof, characterized in that the smart lighting communicates with surrounding electronic devices in a 5G communication environment, and on the basis of such communication and through machine learning, the smart lighting shows operational information of an electronic device when a control command is inputted. When a control command for an operation of an electronic device is generated by a user, information of the operation of the electronic device according to the generated control command is shown through the smart lighting, to thereby improve user convenience in using the electronic device.

Abstract: The present disclosure relates to a mobile robot capable of communicating with peripheral devices via a 5G communication environment, and recommending an efficient movement route and a location of a charging station via machine learning performed based on such communication. When the mobile robot according to the present disclosure is travelling, a score may be assigned to areas of items according to a type of an item located within a movement space in which the mobile robot moves. Here, a plus score may be assigned to an item area where presence of a socket is verified. Further, a highest score may be assigned to a movement route having a shortest distance required for the mobile robot to return to a charging station which charges a battery of the mobile robot, among the movement routes on which the mobile robot moves.

Abstract: Disclosed are a speech recognition method and a speech recognition device, in which speech recognition is performed by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm provided therein. According to one embodiment, the speech recognition method includes buffering a spoken utterance, extracting a standby wake-up word corresponding to a preset wake-up word from the spoken utterance by comparing the buffered spoken utterance to the preset wake-up word, analyzing the role of the standby wake-up word in the spoken utterance, determining the speech intent in uttering the standby wake-up word by using results of analyzing the role of the standby wake-up word, and determining whether to execute a spoken sentence as a voice command in the spoken utterance and processing the spoken sentence accordingly.

Abstract: A method and apparatus for controlling a device according to an embodiment of the present disclosure may be based on a speech feature of a user reflecting the Lombard effect so as to operate a device located far away from the user, among a plurality of electronic devices. As such, even when the user calls a device located far away from the user without any separate context information, speech recognition neural networks and weight calculation neural networks may be selected and used to operate the device located far away from the user, and reception of a speech signal of the user calling a device located far away from the user may be performed in an Internet of Things (IoT) environment using a 5G network.

Abstract: Disclosed are a speech processing method and a speech processing device, for performing speech processing by executing artificial intelligence (AI) algorithms and/or machine learning algorithms installed thereon, thus enabling the communication between a user terminal and a server in a 5G communication environment. The speech processing method according to an embodiment of the present disclosure includes receiving a user spoken utterance, outputting a voice actor spoken utterance in a voice actor's voice having the highest degree of similarity with a user's voice by using a user-voice actor mapping learning model, the voice actor spoken utterance corresponding to the user spoken utterance, and performing speech recognition for the voice actor spoken utterance.

Abstract: A method and apparatus for controlling a massage chair have been disclosed. The method for controlling a massage chair comprises extracting multimedia information, detecting an action item, and controlling an action item. According to the present disclosure, the timing of the multimedia effect and the timing of the action item may be synchronized based on analysis using a deep neural network model through a 5G network.

Abstract: Disclosed are an information providing device and an information providing method, which provide information enabling a conversation with a user by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet-of-Things. An information providing method according to one embodiment of the present disclosure includes gathering first situational information from a home monitoring device, gathering, from the first electronic device, second situational information corresponding to the first situational information, gathering, from the home monitoring device, third situational information containing a behavioral change of the user after gathering the first situational information, generating a spoken sentence to provide to the user on the basis of the first situational information to the third situational information, and converting the spoken sentence to spoken utterance information to be output to the user.

Abstract: The present disclosure may allow a cleaning robot to avoid a sensed object, the robot including one or more processors configured to project, via a projecting unit, an electromagnetic wave toward a movement path in which the cleaning robot is moving by operation of a driving unit; sense, via one or more sensors, an object positioned on the movement path based on electromagnetic waves reflected from the object; determine whether the sensed object is a type of restricted object by inputting information of the reflected electromagnetic waves to a machine learning model stored in a memory; measure an area corresponding to the sensed object; calculate an avoidance path to avoid the measured area and changing the movement path based on the calculated avoidance path; and operate the driving unit to avoid the sensed object based on the changed movement path.

Abstract: The present invention relates to a smart lighting and an operation method thereof, characterized in that the smart lighting communicates with surrounding electronic devices in a 5G communication environment, and on the basis of such communication and through machine learning, the smart lighting shows operational information of an electronic device when a control command is inputted. When a control command for an operation of an electronic device is generated by a user, information of the operation of the electronic device according to the generated control command is shown through the smart lighting, to thereby improve user convenience in using the electronic device.

Abstract: The present disclosure relates to a mobile robot capable of communicating with peripheral devices via a 5G communication environment, and recommending an efficient movement route and a location of a charging station via machine learning performed based on such communication. When the mobile robot according to the present disclosure is travelling, a score may be assigned to areas of items according to a type of an item located within a movement space in which the mobile robot moves. Here, a plus score may be assigned to an item area where presence of a socket is verified. Further, a highest score may be assigned to a movement route having a shortest distance required for the mobile robot to return to a charging station which charges a battery of the mobile robot, among the movement routes on which the mobile robot moves.

Abstract: Disclosed are a speech processing method and a speech processing device, for performing speech processing by executing artificial intelligence (AI) algorithms and/or machine learning algorithms installed thereon, thus enabling the communication between a user terminal and a server in a 5G communication environment. The speech processing method according to an embodiment of the present disclosure includes receiving a user spoken utterance, outputting a voice actor spoken utterance in a voice actor's voice having the highest degree of similarity with a user's voice by using a user-voice actor mapping learning model, the voice actor spoken utterance corresponding to the user spoken utterance, and performing speech recognition for the voice actor spoken utterance.

Abstract: Disclosed are a speech recognition device and a speech recognition method which perform speech recognition by executing an artificial intelligence (AI) algorithms and/or a machine learning algorithm installed thereon, to communicate with other electronic devices and an external server in a 5G communication environment. The speech recognition method according to an embodiment of the present disclosure may include converting a series of spoken utterance signals to a text item, extracting a discordant named-entity that is discordant with a parent domain inferred form the text, calculating probabilities of candidate words associated with the discordant named-entity based on calculated distances between a term representing the parent domain and each candidate word associated with the discordant named-entity, and based on the calculated probabilities, modifying the discordant named-entity in the text to one of the candidate words associated with the discordant named-entity.

Abstract: Disclosed are a speech recognition method and a speech recognition device, in which speech recognition is performed by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm provided therein. According to one embodiment, the speech recognition method includes buffering a spoken utterance, extracting a standby wake-up word corresponding to a preset wake-up word from the spoken utterance by comparing the buffered spoken utterance to the preset wake-up word, analyzing the role of the standby wake-up word in the spoken utterance, determining the speech intent in uttering the standby wake-up word by using results of analyzing the role of the standby wake-up word, and determining whether to execute a spoken sentence as a voice command in the spoken utterance and processing the spoken sentence accordingly.