Lg Electronics Inc.

Youngman Kim

Jaewoong Jeong

Kyuho Lee

Sangjun Oh

Seunghyun Hwang

Bongki Lee

Keunsang Lee

Senghyun Huang

Disclosed is a method for controlling a smart air purifier, the method including: obtaining first air cleanliness of a first area in which a first air purifier is placed, and obtaining second air cleanliness of a second area in which a second air purifier is placed; when at least one of the first air cleanliness or the second air cleanliness is equal to or smaller than a preset threshold value, driving both the first air purifier and the second air purifier; monitoring a variation of the first air cleanliness and the second air cleanliness; calculating a weight that is proportional to the variation of the first air cleanliness and the second air cleanliness; and setting a driving mode for the first air purifier and the second air purifier based on the weight.

Smart air purifier system with first and second air purifiers and method for controlling the same

A sound quality improvement based on artificial intelligence is disclosed. A sound control method based on artificial intelligence according to an embodiment of the present disclosure provides a different call sound quality for each person based on a plurality of person information stored in an address book of a mobile terminal. The mobile terminal and 5G network of the present disclosure may be associated with an artificial intelligence module, a drone ((Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G services, etc.

Sound quality improvement based on artificial intelligence

Disclosed herein is a method for intelligently recognizing voice by a voice recognizing apparatus in various noise environments. The method includes acquiring a first noise level for an environment in which the voice recognizing apparatus is located, inputting the first noise level into a previously learned noise-sensitivity model to acquire a first optimum sensitivity, and recognizing a user's voice based on the first optimum sensitivity. The noise-sensitivity model is learned in a plurality of noise environments acquiring different noise levels, so that it is possible to accurately acquire an optimum sensitivity corresponding to a noise level depending on an operating state when an IoT device (voice recognizing apparatus) is in operation. At least one of the voice recognizing apparatus and an intelligent computing device of present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Intelligent voice recognizing method, apparatus, and intelligent computing device

Disclosed are an intelligent voice recognizing method, a voice recognizing device, and an intelligent computing device. According to an embodiment of the present invention, an intelligent voice recognizing method of a voice recognizing device may obtain a microphone detection signal, recognize a user's voice from the microphone detection signal based on a pre-learned speech recognition model, output information related to a result of recognition of the user's voice, and update the speech recognition model based on the output speech recognition result information, easily updating the speech recognition model for speech recognition based on the speech recognition result information which is intuitively shown to the user. According to the present invention, one or more of the voice recognizing device, intelligent computing device, and server may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

An intelligent device controlling method, a mobile terminal, and a computing device are provided. A mobile terminal for controlling intelligently a device according to an embodiment of the present disclosure receives a call for a call connection, selects at least one control target device to control an operation while the call is connected, based on a location of the mobile terminal, selects a control item of the at least one control target device using a plurality of pre-learned control methods, and controls the control item for the at least one control target device in a state where the call is connected. Accordingly, it is possible to improve a call environment by controlling an operation of a device around a smart phone at the time of a call connection of the smart phone. At least one of a mobile terminal and an intelligent computing device of the present disclosure is associated with an artificial intelligence module, an unmmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

Intelligent device controlling method, mobile terminal and intelligent computing device

A method for synthesizing an engine sound includes outputting a first synthesized engine sound, obtaining a change in a first surrounding noise environment, learning an artificial neural network to obtain first masking level information corresponding to the obtained change in the first surrounding noise environment, generating a second synthesized engine sound by correcting the first synthesized engine sound based on the obtained first masking level information, and outputting the generated second synthesized engine sound.

Apparatus and method for synthesizing engine sound

A method for editing an image based on artificial intelligence and an artificial intelligence device are disclosed. In the method for editing an image based on artificial intelligence, a recommended photographic composition is created by applying an image acquired by a camera to a pre-trained composition recommendation model, and the image is corrected based on the created recommended photographic composition, whereby it is possible to capture and edit an image at the same time without the trouble of correcting the image after capturing it. One or more of an artificial intelligence device of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Method for editing image based on artificial intelligent and artificial device

An embodiment of the present invention provides an apparatus for noise canceling that includes: an input unit configured to receive an input voice signal; and one or more processors configured to perform a first noise cancellation using as input the received input voice signal to generate a first voice signal by cancelling noise from the input voice signal using a noise canceling model which is trained using a plurality of reference voice signals, perform a second noise cancellation using as input the first voice signal generated by the noise canceling model to generate a second voice signal in which residual noise is canceled from the first voice signal using statistical analysis, and generate an output voice signal comprising an encoding of the second voice signal.

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Seoul, South Korea

Youngman Kim