VOICE RECOGNITION DEVICE AND METHOD

    公开(公告)号:US20220005481A1

    公开(公告)日:2022-01-06

    申请号:US17296806

    申请日:2019-11-22

    Abstract: The disclosure relates to an electronic apparatus for recognizing user voice and a method of recognizing, by the electronic apparatus, the user voice. According to an embodiment, the method of recognizing the user voice includes obtaining an audio signal segmented into a plurality of frame units, determining an energy component for each filter bank by applying a filter bank distributed according to a preset scale to a frequency spectrum of the audio signal segmented into the frame units, smoothing the determined energy component for each filter bank, extracting a feature vector of the audio signal based on the smoothed energy component for each filter bank, and recognizing the user voice in the audio signal by inputting the extracted feature vector to a voice recognition model.

    ELECTRONIC DEVICE PACKAGING BOX
    13.
    发明申请

    公开(公告)号:US20210094725A1

    公开(公告)日:2021-04-01

    申请号:US17044038

    申请日:2019-04-26

    Abstract: Various embodiments relating to a packaging box for packaging an electronic device are presented, and according to one embodiment, the packaging box comprises: a packaging box body; a receiving part included in the packaging box body and receiving the electronic device; and a support structure received in or removed from the receiving part, at least a portion of the supporting structure able to be slantedly folded to or unfolded, wherein the support structure in a folded state is received, together with the electronic device, in the receiving part to support the electronic device to be able to amplify a sound from a speaker included in the electronic device and, in a state removed from the receiving part or in a state received in the receiving part, the supporting structure cradles the electronic device, and additional various other embodiments are possible.

    SYSTEM AND METHOD FOR RECOGNIZING USER'S SPEECH

    公开(公告)号:US20210050016A1

    公开(公告)日:2021-02-18

    申请号:US16988929

    申请日:2020-08-10

    Abstract: Provided is a system and method for recognizing a user's speech. A method, performed by a server, of providing a text string for a speech signal input to a device includes: receiving, from the device, an encoder output value derived from an encoder of an end-to-end automatic speech recognition (ASR) model included in the device; identifying a domain corresponding to the received encoder output value; selecting a decoder corresponding to the identified domain from among a plurality of decoders of an end-to-end ASR model included in the server; obtaining a text string from the received encoder output value using the selected decoder; and providing the obtained text string to the device.

    METHOD AND DEVICE FOR SPEECH RECOGNITION
    15.
    发明申请

    公开(公告)号:US20200234713A1

    公开(公告)日:2020-07-23

    申请号:US16750274

    申请日:2020-01-23

    Abstract: Provided are an electronic device for recognizing speech of a user, and a method, performed by the electronic device, of recognizing speech. The method includes obtaining an audio signal based on a speech input based on the audio signal being input, obtaining an output value of a first automatic speech recognition (ASR) model that outputs a character string at a first level; obtaining an output value of a second ASR model that outputs a character string at a second level corresponding to the audio signal based on the output value of the first ASR model based on the audio signal being input; and recognizing the speech from the output value of the second ASR model.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20230360645A1

    公开(公告)日:2023-11-09

    申请号:US17430614

    申请日:2021-06-22

    CPC classification number: G10L15/183 G10L15/26 G06V10/255 H04N21/4884

    Abstract: An electronic apparatus and a control method thereof are provided. The electronic apparatus includes a communication interface configured to receive content comprising image data and speech data; a memory configured to store a language contextual model trained with relevance between words; a display; and a processor configured to: extract an object and a character included in the image data, identify an object name of the object and the character, generate a bias keyword list comprising an image-related word that is associated with the image data, based on the identified object name and the identified character, convert the speech data to a text based on the bias keyword list and the language contextual model, and control the display to display the text that is converted from the speech data, as a caption.

    COOKING APPARATUS AND METHOD OF CONTROLLING SAME

    公开(公告)号:US20230209667A1

    公开(公告)日:2023-06-29

    申请号:US18176390

    申请日:2023-02-28

    CPC classification number: H05B6/1209 H05B6/062 H05B2213/05

    Abstract: A cooking apparatus may comprise: an alarm; a cooking plate including glass and a capacitance sensor panel; and a control unit which determines a reference position corresponding to the position of a cooking vessel on the basis of a capacitance change of the cooking plate, determines a plurality of regions on the cooking plate, to which different weights are provided depending on a distance from the reference position, and controls the alarm to output a warning message when a value of capacitance change of the cooking plate having the weights applied thereto exceeds a predetermined value.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20230177398A1

    公开(公告)日:2023-06-08

    申请号:US18162218

    申请日:2023-01-31

    CPC classification number: G06N20/00 G06N5/04

    Abstract: An electronic apparatus and a control method thereof are provided. The control method of the electronic apparatus includes receiving, from a first external electronic apparatus and a second external electronic apparatus, a first artificial intelligence model and a second artificial intelligence model used by the first and second external electronic apparatuses, respectively, and a plurality of learning data stored in the first and second external electronic apparatuses, identifying first learning data, which corresponds to second learning data received from the second external electronic apparatus, among learning data received from the first external electronic apparatus, training the second artificial intelligence model used by the second external electronic apparatus based on the first learning data, and transmitting the trained second artificial intelligence model to the second external electronic apparatus.

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