Lg Electronics Inc.

Hyeonsik Choi

Jaepil Seo

Sangjun Oh

Sungmoon Cho

Byounggi Lee

Donghoon Yi

Keunsang Lee

Voice output of a specific speaker is controlled using beamforming according to a video zooming magnification. By simultaneously performing adaptive beamforming and fixed beamforming, it is possible to reinforce voice output of the specific speaker.

Artificial intelligence device configured to generate a mask value

A far-end terminal including a communication interface configured to wirelessly communicate with a near-end terminal for performing a video conference between the far-end terminal and the near-terminal, a camera configured to capture a region in front of the far-end terminal including a plurality of counterpart speakers, a display configured to display the plurality of counterpart speakers captured through the camera and to display an image of a speaker at the near-end terminal, and a processor configured to receive focusing mode setting information from the near-end terminal indicating an operation mode of the near-end terminal is a wide focusing mode, in response to the focusing mode setting information indicating the operation mode is the wide focusing mode, obtain an angle range corresponding to a narrower partial region of an entire region including the plurality of counterpart speakers at the far-end terminal, perform selective audio focusing on a received voice within the obtained angle range to selectively increase a gain of the received voice and to selectively decrease a gain of other received voices outside the obtained angle range, and transmit audio, which is a result of performing the beamforming, to the near-end terminal.

Far-end terminal and voice focusing method thereof

An artificial sound source separation method and device are disclosed. The sound source separation method by the artificial sound source separation device based on dictionary learning generates a dictionary matrix by performing dictionary learning, receives an overlapping sound source in which at least two sound sources are mixed and separates a target sound source from the overlapping sound source based on the dictionary matrix; and detecting the target sound source. The dictionary learning may be performed using a K-SVD algorithm. The intelligent computing device configuring a sound source processing device of the present disclosure may be associated with an artificial intelligence module, drone (unmanned aerial vehicle, UAV), robot, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G services, and the like.

Artificial sound source separation method and device of thereof

Disclosed is a method for separating a speech based on artificial intelligence in a vehicle. The method includes separating a speech signal using at least one sound beam-forming or source separation; and performing a speech recognition function by detecting a speaker (user) of the separated signal, and accordingly, other users in the vehicle in addition to a driver may use the speech recognition function. A device and method for separating speech based on artificial intelligence in vehicle 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.

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Seoul, South Korea

Hyeonsik Choi