Abstract:
Disclosed are a robot cleaner, and a method for controlling the same.Firstly, a sound source direction and a sound source position may be detected by one or more microphones, e,g., three microphones, and a specific event sound may be recognized. Then, the recognized specific event sound may be output to a cleaner body in the form of a message, or may be provided via a communication network. This can allow the circumstances to be easily monitored.Secondly, a sound recognition function may be updated using an ambient sound, for sound recognition from background noise and environmental noise, in a robust and precise manner. This can enhance a sound recognition rate, and improve stability and efficiency.Thirdly, the robot cleaner may be moved to a detected direction or position of a sound source with respect to an event sound. Then, image information may be detected, or whether an abnormal situation has occurred or not may be determined. Such information may be provided via a communication network.
Abstract:
The present disclosure relates to an artificial intelligence apparatus capable of providing a user manual corresponding to an abnormality diagnosis by diagnosing an abnormality of a target device inquired by a user, and a method for providing a target device manual thereof, and may be configured to, when receiving a user inquiry from the user terminal through the communication unit, analyze the user inquiry to set a diagnosis range of a target device, perform a diagnosis corresponding to the user inquiry within the set diagnosis range of the target device, generate a user manual for the performed diagnosis result, and control the communication unit to transmit the generated a user manual to the user terminal.
Abstract:
According to an embodiment of the present disclosure, a refrigerator may include a storage compartment, an outer door, one or more cameras provided in the outer door, a global DB configured to store a plurality of default food identification items and a plurality of default product names respectively corresponding to the plurality of default food identification items, and a local DB configured to store edited product names and a food identification item corresponding to the edited product names, and a processor configured to photograph an internal image of the storage compartment through the one or more cameras, obtain a food identification item from the photographed internal image, determine whether the obtained food identification item is stored in the local DB, and when the food identification item is not stored in the local DB, determine whether the obtained food identification item is stored in the global DB.
Abstract:
An artificial intelligence apparatus for recognizing a user includes a camera, and a process configured to receive, via the camera, image data including a recognition target object, generate recognition information corresponding to the recognition target object from the received image data, calculate a confidence level of the generated recognition information, determine whether the calculated confidence level is greater than a reference value, if the calculated confidence level is greater than the reference value, perform a control corresponding to the generated recognition information, and if the calculated confidence level is not greater than the reference value, provide a feedback for the object recognition.
Abstract:
An electronic device including a voice obtaining microphone configured to receive a voice signal including a noise at a first level; a noise obtaining microphone configured to receive a voice signal including a noise at a second level higher than the first level; and a controller configured to estimate the noise at the second level from the voice signal received by the noise obtaining microphone, remove the noise at the first level from the voice signal received by the voice obtaining microphone based on the estimated noise, and perform an operation corresponding to the voice signal having the noise at the first level eliminated therefrom.
Abstract:
The present invention relates to a frame loss recovering method, an audio decoding method, and an apparatus using the method. A method of recovering a frame loss of an audio signal according to the present invention includes: grouping transform coefficients of at least one frame into a predetermined number of bands among previous frames of a current frame; deriving an attenuation constant according to a tonality of the bands; and recovering transform coefficients of the current frame by applying the attenuation constant to the previous frame of the current frame.
Abstract:
The present invention relates to a method of managing a jitter buffer and a jitter buffer using same. The method of managing a jitter buffer includes the steps of: receiving audio information frames; and adjusting a jitter buffer on the basis of the received audio information frames, wherein the adjusting step of the jitter buffer includes compensation of an audio signal, and the compensation of the audio signal can be performed for each sub frame of the audio information frames.
Abstract:
The present invention relates to a method for encoding a voice signal, a method for decoding a voice signal, and anapparatus using the same. The method for encoding the voice signal according to the present invention, includes the steps of: determining an eco-zone in a present frame; allocating bits for the present frame on the basis of the location of the eco-zone; and encoding the present frame using the allocated bits, wherein the step of allocating the bits allocates more bits in the section in which the eco-zone is located than in the section in which the eco-zone is not located.
Abstract:
A laundry scheduling device according to an embodiment of the present invention includes an input interface that receives speech including a plurality of words respectively representing a plurality of laundry items from a use, and a processor that acquires one or more features represented by each of the plurality of words by inputting speech data corresponding to the received speech to a learning model and performing word embedding, and generates a laundry schedule of the plurality of laundry items based on the one or more features represented by each of the plurality of words.
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.