Abstract:
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.
Abstract:
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.
Abstract:
An engine sound cancellation method includes outputting a first artificial sound for cancelling engine noise, acquiring a mixed sound including the engine noise and a second artificial sound, in which the second artificial sound is changed from the first artificial sound according to a surrounding noise environment, acquiring the second artificial sound corresponding to the surrounding noise environment so as to significantly reduce an error in the mixed sound by learning an artificial neural network, and outputting the acquired second artificial sound as the first artificial sound.
Abstract:
An apparatus and method for driving an electric device using speech recognition are disclosed. The method for driving an electric device using speech recognition includes switching an operation stop state to a pre-operation speech recognition standby mode if a first keyword is recognized at the operation stop state; starting basic operation of the device if a second keyword is recognized at the pre-operation speech recognition standby mode; and performing a corresponding command if at least one of a plurality of command languages that may be recognized by a user command is recognized within a predefined time during the basic operation, wherein the first keyword, the second keyword and the plurality of command languages are different from one another.