Lg Electronics Inc.

Bongki Lee

Jaewoong Jeong

Donghoon Yi

Youngman Kim

Seunghyun Hwang

Heewan Park

Yuyong Jeon

Keunsang Lee

Provided are an intelligent voice recognition method, a voice recognition device and an intelligent computing device. In an intelligent voice recognition method, if a microphone detection signal is obtained after the size of a first voice signal is determined, the size of the microphone detection signal is adjusted based on the size of the first voice signal. A second voice signal is recognized in the adjusted microphone detection signal. Accordingly, a command included in a user's voice can be recognized accurately. At least one of the voice recognition device, the intelligent computing device and the server of the present invention may be associated with an Artificial Intelligence module, a drone (Unmanned Aerial Vehicle, UAV), robot, Augmented Reality (AR) device, virtual reality (VR) device and a device related to the 5G service.

Intelligent voice recognizing method, apparatus, and intelligent computing device

Provided are an intelligent voice recognition method, a voice recognition device, and an intelligent computing device. A method of intelligently recognizing a voice in a voice recognition device includes obtaining an ambient noise signal from the microphone detection signal when a voice is detected from the microphone detection signal; updating a previously learned noise cancellation model based on the ambient noise; and removing the ambient noise signal from the microphone detection signal. Therefore, a voice recognition performance of the voice recognition device can be maximized. At least one of the voice recognition device, the intelligent computing device and the server of the present disclosure may be associated with an Artificial Intelligence module, a drone (Unmanned Aerial Vehicle, UAV), robot, Augmented Reality (AR) device, virtual reality (VR) device and a device related to the 5G service.

Intelligent voice recognizing method with improved noise cancellation, voice recognizing apparatus, intelligent computing device and server

Disclosed are a response device determination method and a response device determination apparatus. The method includes receiving audio signals from a plurality of devices respectively; extracting a plurality of distance information indicative of distances between the user and the plurality of devices from the audio signals respectively; and determining a response device to respond to the wake-up voice using the extracted plurality of distance information, wherein the response device is determined based on at least one of first and second steps according to a predetermined condition, wherein the first step includes comparing the extracted plurality of distance information with each other and determining the response device based on the comparison result, wherein the second step includes applying the extracted plurality of distance information to a deep neural network (DNN) model to obtain an application result and determining the response device based on the application result. Thus, in an environment where a plurality of devices recognize the same wake-up voice, the method may select a device to respond to a wake-up voice in response to a single utterance from the user so as to reflect intention of the user.

Method and apparatus for determining voice enable 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

Bongki Lee