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.
Abstract:
Provided are an acoustic sensor and a home appliance system comprising the same. The acoustic sensor comprises a communication unit, a microphone to collect an acoustic signal, a memory to store a failure acoustic signal of a home appliance, and a processor, wherein in response to the acoustic signal, collected by the microphone, corresponding to the failure acoustic signal of the home appliance, the processor transmits the collected acoustic signal, or data corresponding to the collected acoustic signal, to an external server or a terminal. Accordingly, failure of the home appliance may be easily diagnosed.
Abstract:
Provided is a smart home appliance. The smart home appliance includes: a voice input unit collecting a voice; a voice recognition unit recognizing a text corresponding to the voice collected through the voice input unit; a capturing unit collecting an image for detecting a user's visage or face; a memory unit mapping the text recognized by the voice recognition unit and a setting function and storing the mapped information; and a control unit determining whether to perform a voice recognition service on the basis of at least one information of image information collected by the capturing unit and voice information collected by the voice input unit.
Abstract:
Disclosed are a home appliance and a mobile terminal. The home appliance includes a drive unit, an acoustic output module configured to output sound, a microphone configured to receive sound from an external source, a memory configured to store information related to the home appliance when the home appliance is being operated, an acoustic communication unit configured to output sound containing the information related to the home appliance to the acoustic output module or to extract prescribed information from the sound received via the microphone based on an acoustic communication mode, and a controller configured to control the drive unit according to the information extracted by the acoustic communication unit. Transmission of information between the home appliance and the mobile terminal is accomplished via acoustic communication.
Abstract:
A touch sensing apparatus includes a first plate configured to receive a touch input, a second plate spaced apart from the first plate, a piezoelectric element disposed between the first and second plates, the piezoelectric element being configured to generate electrical signals corresponding to the touch input received on the first plate, an ultrasonic output unit configured to output ultrasonic signals based on the electrical signals generated from the piezoelectric element, a plurality of microphones configured to receive the ultrasonic signals, and a processor configured to determine a position of the touch input on the first plate based on the ultrasonic signals received by the plurality of microphones.
Abstract:
Disclosed herein are a robot cleaner and a robot cleaning system having the same. The robot cleaner includes a main body, a traveling unit configured to move the main body, a cleaning unit configured to execute cleaning, a camera configured to capture an image including foreign substances, a communication unit configured to exchange data with a mobile terminal or a server, and a controller configured to control transmission of the image including the foreign substances and image related information to the mobile terminal or the server and to execute cleaning of an area around the foreign substances based on cleaning execution information regarding the foreign substances or to execute no cleaning of the area around the foreign substances based on cleaning avoidance information regarding the foreign substances, transmitted from the mobile terminal or the server. Thereby, the robot cleaner may selectively clean foreign substances.
Abstract:
A terminal includes a microphone, a display, an audio output module, a communication unit to exchange data with a server or a home appliance, and a controller to control display of a screen including information related to the home appliance and to control output of information corresponding to user voice based on the information related to the home appliance on the screen via the display or the audio output module when the user voice is received via the microphone. Therefore, it is possible to improve user convenience upon utilizing the home appliance.
Abstract:
The present invention relates to a method for processing an audio signal, comprising: a step of performing a frequency conversion process on an audio signal to obtain a plurality of frequency transform coefficients; a step of selecting either a general mode or a non-general mode, on the basis of a pulse ratio, for the frequency transform coefficients having a high frequency band from among the plurality of frequency transform coefficients; and a step of performing, if the non-general mode is selected, the following steps: extracting a predetermined number of pulses from the frequency transform coefficients having the high frequency band, and generating pulse information; generating an original noise signal from the frequency transform coefficients having the high frequency band, excluding the pulses; generating a reference noise signal using the frequency transform coefficient having a low frequency band from among the plurality of frequency transform coefficients; and generating noise position information and noise energy information using the original noise signal and the reference noise signal.